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- Cartographer. Author of 160+ journal articles; 90+ conference papers; 50+ presentations & posters. Reviewer of 700+ ... moreCartographer. Author of 160+ journal articles; 90+ conference papers; 50+ presentations & posters. Reviewer of 700+ manuscripts, WoS ID R-8828-2018: https://www.webofscience.com/wos/author/rid/R-8828-2018 Editorial Board Member: 1) Front. Environ. Sci.; 2) Front. Mar. Sci.; 3) J. Appl. Eng. Sci.; 4) Acta Univ. Lodz. Folia Geogr. Phys.; 5) CEJGSD.
Skills: GMT scripting toolset, GIS (GRASS GIS, QGIS, ArcGIS, MapInfo, etc.). Image processing: Erdas Imagine, ILWIS, ENVI, Idrisi. Programming: Python, R, Octave/MATLAB, Unix utilities, shell/bash scripts, awk, grep. Markup languages: TeX (strong user of LaTeX). Statistical data analysis: Python, R, SPSS, Gretl, Gnuplot. Data sharing: GitHub.
Research foci: data analysis, cartography, geoinformatics, modelling, mapping, data visualization, algorithms, applied programming, machine learning, ocean/marine studies, statistical analysis, GIS, remote sensing (satellite image processing), environmental monitoring, data science, machine learning.edit
This paper evaluates the potential of using artificial intelligence (AI) and machine learning (ML) approaches for classification of Landsat satellite imagery for environmental coastal mapping. The aim is to identify changes in patterns of... more
This paper evaluates the potential of using artificial intelligence (AI) and machine learning (ML) approaches for classification of Landsat satellite imagery for environmental coastal mapping. The aim is to identify changes in patterns of land cover types in a coastal area around Cheetham Wetlands, Port Phillip Bay, Australia. The scripting approach of the Geographic Resources Analysis Support System (GRASS) geographic information system (GIS) uses AI-based methods of image analysis to accurately discriminate land cover types. Four ML algorithms are applied, tested and compared for supervised classification. Technical approaches are based on using the `r.learn.train’ module, which employs the scikit-learn library of Python. The methodology includes the following algorithms: (1) random forest (RF), (2) support vector machine (SVM), (3) an ANN-based approach using a multi-layer perceptron (MLP) classifier, and (4) a decision tree classifier (DTC). The tested methods using AI demonstrated robust results for image classification, with the highest overall accuracy exceeding 98% and reached by the SVM and RF models. The presented scripting approach for GRASS GIS accurately detected changes in land cover types in southern Victoria over the period of 2013–2024. From our findings, the use of AI and ML algorithms offers effective solutions for coastal monitoring by analysis of change detection using multi-temporal RS data. The demonstrated methods have potential applications in coastal and wetland monitoring, environmental analysis and urban planning based on Earth observation data.
Research Interests: Cartography, Earth Sciences, Computer Science, Programming Languages, Artificial Intelligence, and 15 moreEducation, Image Processing, Remote Sensing, Machine Learning, Sustainable Development, Sensor, Geoinformatics, Australia, Image Analysis, Environmental Sustainability, Digital Image Processing, Artificial Neural Networks, Random Forest, Mapping, and Geographic Information Systems (GIS)
Monitoring rainforests in West Africa is necessary for natural resource management. Remote sensing is valuable for mapping tropical ecosystems and evaluation of landscape heterogeneity. This study presents landscape analysis in Sierra... more
Monitoring rainforests in West Africa is necessary for natural resource management. Remote sensing is valuable for mapping tropical ecosystems and evaluation of landscape heterogeneity. This study presents landscape analysis in Sierra Leone which affects wildlife habitats and biodiversity. Methods include modules "r.mapcalc", "r.li.mps", "r.li.edgedensity", and "r.forestfrag" of GRASS GIS for satellite image processing by computation of mean patch size, edge density index and landscape fragmentation with six levels: exterior, patch, transitional, edge, perforated, and interior. The results demonstrate increased deforestation and landscape fragmentation in Sierra Leone over a 10-year period (2013 to 2023).
Research Interests: Landscape Ecology, Cartography, Earth Sciences, Environmental Science, Computer Science, and 15 moreEducation, Forestry, Image Processing, Remote Sensing, Data Analysis, Sustainable Development, Africa, Geoinformatics, Environmental Sustainability, Remote sensing and GIS, Digital Image Processing, Data Visualization, Programming, Mapping, and Geographic Information Systems (GIS)
Le développement de techniques de programmation et de langages de script intégrés aux SIG a amélioré le traitement des images satellitaires pour obtenir des informations spatiales à partir des données de télédétection. Dans cet article,... more
Le développement de techniques de programmation et de langages de script intégrés aux SIG a amélioré le traitement des images satellitaires pour obtenir des informations spatiales à partir des données de télédétection. Dans cet article, l'efficacité de l'intégration des données multi-temporelles d'observation spatiale avec des techniques de script est démontrée à travers un exemple pris en Afrique du Sud. Quatre images Landsat couvrant la région côtière du Cap ont été acquises auprès de l'USGS pour les années 2016, 2018, 2021 et 2023. Leur traitement a permis le calcul de quatre indices de végétation à l'aide du module 'i.vi' de GRASS SIG : DVI, NDVI, SAVI et CI. Les valeurs des indices ont été cartographiées pour chacune des images traitées. Ces cartes traduisent les changements de l'occupation du sol depuis 2016, notamment la déforestation et l'expansion des terres agricoles.
EN:
The development of the programming techniques and scripting languages integrated in GIS, facilitated satellite image processing for obtaining information from the remote sensing data. In this paper, the effectiveness of integration of space observation multi-temporal data with scripting techniques is demonstrated with an example from South Africa. Four Landsat images covering the coastal region of Cape Town were acquired from the USGS for years 2016, 2018, 2021 and 2023. Their processing enabled the calculation of four vegetation indices using 'i.vi' module of GRASS GIS: DVI, NDVI, SAVI and CI. The index values were mapped for each of the processed images. These maps reflect changes in land use since 2016, such as deforestation and expansion of agricultural land.
EN:
The development of the programming techniques and scripting languages integrated in GIS, facilitated satellite image processing for obtaining information from the remote sensing data. In this paper, the effectiveness of integration of space observation multi-temporal data with scripting techniques is demonstrated with an example from South Africa. Four Landsat images covering the coastal region of Cape Town were acquired from the USGS for years 2016, 2018, 2021 and 2023. Their processing enabled the calculation of four vegetation indices using 'i.vi' module of GRASS GIS: DVI, NDVI, SAVI and CI. The index values were mapped for each of the processed images. These maps reflect changes in land use since 2016, such as deforestation and expansion of agricultural land.
Research Interests: Landscape Ecology, Cartography, Programming Languages, Image Processing, Remote Sensing, and 15 moreSustainable Development, Africa, Geoinformatics, Ecology, Modeling and Simulation, Vegetation Ecology, Environmental Sustainability, Remote sensing and GIS applications in Landscape Research, Digital Image Processing, Data Visualization, Mapping, Image and Video Processing, Data Structures, Land Use/ Land Cover Dynamics and LULc Modeling, and Geographic Information Systems (GIS)
The study is focused on mapping geophysical settings on the margins of the Philippine Sea Plate (PSP). Active volcanism and seismic situation along the margins of the Philippine Sea Basin (PSB) shows earthquake events demonstrating high... more
The study is focused on mapping geophysical settings on the margins of the Philippine Sea Plate (PSP). Active volcanism and seismic situation along the margins of the Philippine Sea Basin (PSB) shows earthquake events demonstrating high seismicity of the region caused by tectonic plate subduction. The aim was to perform cartographic mapping of the earthquake events using Generic Mapping Tools (GMT) modules, to analyze seismic situation through visualization of the geophysical datasets. The data was processed by GMT using multi-source data: GEBCO, CMT and ISC seismic data. Technically, a set of GMT modules was used ('psmeca', 'psvelo', 'grdtrack', 'grdimage') for data modelling and mapping. An application of GMT functionality is presented by selected code snippets with selected code snippets for 'psmeca' and 'psvelo', 'img2grd', 'img2grd' modules. Current paper presents a report on the cartographic techniques applied for geophysical mapping. Centroid moment tensor solutions are visualized for shallow depth earthquakes of Mw <10 along the PSB margins from 1976 to 2010. Earthquakes along the tectonic plate subduction zone are shown by GMT. Data from Global Centroid-Moment-Tensor (CMT) Project. Presented and explained GMT code snippets contribute to the development of methods in geological mapping using GMT scripting toolset, for visualizing focal mechanisms.
Research Interests: Cartography, Earth Sciences, Geology, Geophysics, Oceanography, and 15 moreComputer Science, Programming Languages, Remote Sensing, Volcanology, Marine Geology, Data Analysis, Sustainable Development, Geoinformatics, Modeling and Simulation, Environmental Sustainability, Remote sensing and GIS, Geoinformation, Data Visualization, Seismic analysis and design, and Geographic Information Systems (GIS)
This study presents the environmental mapping of the Chilika Lake coastal lagoon, India, using satellite images Landsat 8-9 OLI/TIRS processed using machine learning (ML) methods. The largest brackish water coastal lagoon in Asia, Chilika... more
This study presents the environmental mapping of the Chilika Lake coastal lagoon, India, using satellite images Landsat 8-9 OLI/TIRS processed using machine learning (ML) methods. The largest brackish water coastal lagoon in Asia, Chilika Lake, is a wetland of international importance included in the Ramsar site due to its rich biodiversity, productivity, and precious habitat for migrating birds and rare species. The vulnerable ecosystems of the Chilika Lagoon are subject to climate effects (monsoon effects) and anthropogenic activities (overexploitation through fishing and pollution by microplastics). Such environmental pressure results in the eutrophication of the lake, coastal erosion, fluctuations in size, and changes in land cover types in the surrounding landscapes. The habitat monitoring of the coastal lagoons is complex and difficult to implement with conventional Geographic Information System (GIS) methods. In particular, landscape variability, patch fragmentation, and landscape dynamics play a crucial role in environmental dynamics along the eastern coasts of the Bay of Bengal, which is strongly affected by the Indian monsoon system, which controls the precipitation pattern and ecosystem structure. To improve methods of environmental monitoring of coastal areas, this study employs the methods of ML and Artificial Neural Networks (ANNs), which present a powerful tool for computer vision, image classification, and analysis of Earth Observation (EO) data. Multispectral satellite data were processed by several ML image classification methods, including Random Forest (RF), Support Vector Machine (SVM), and the ANN-based MultiLayer Perceptron (MLP) Classifier. The results are compared and discussed. The ANN-based approach outperformed the other methods in terms of accuracy and precision of mapping. Ten land cover classes around the Chilika coastal lagoon were identified via spatio-temporal variations in land cover types from 2019 until 2024. This study provides ML-based maps implemented using Geographic Resources Analysis Support System (GRASS) GIS image analysis software and aims to support ML-based mapping approach of environmental processes over the Chilika Lake coastal lagoon, India.
Research Interests: Cartography, Earth Sciences, Computer Science, Programming Languages, Education, and 15 moreRemote Sensing, Climate Change, Machine Learning, Indian studies, Marine Ecology, Sustainable Development, Geoinformatics, Marine Engineering, Environmental Sustainability, Earth and Environmental Sciences, India, Artificial Neural Networks, Deep Learning, Geographic Information Systems (GIS), and Renewable Energy and Climate Change
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY
Research Interests: Geography, Cartography, Computer Science, Programming Languages, Artificial Intelligence, and 15 moreEducation, Image Processing, Remote Sensing, Machine Learning, Sustainable Development, Satellite remote sensing, Environmental Sustainability, Bangladesh, Programming, Artificial Neural Networks, Mapping, Deep Learning, Flood Mangement, Mekong and Ganges Rivers, and Geographic Information Systems (GIS)
Mapping coastal regions is important for environmental assessment and for monitoring spatio-temporal changes. Although traditional cartographic methods using a geographic information system (GIS) are applicable in image classification,... more
Mapping coastal regions is important for environmental assessment and for monitoring spatio-temporal changes. Although traditional cartographic methods using a geographic information system (GIS) are applicable in image classification, machine learning (ML) methods present more advantageous solutions for pattern-finding tasks such as the automated detection of landscape patches in heterogeneous landscapes. This study aimed to discriminate landscape patterns along the eastern coasts of Mozambique using the ML modules of a Geographic Resources Analysis Support System (GRASS) GIS. The random forest (RF) algorithm of the module ‘r.learn.train’ was used to map the coastal landscapes of the eastern shoreline of the Bight of Sofala, using remote sensing (RS) data at multiple temporal scales. The dataset included Landsat 8-9 OLI/TIRS imagery collected in the dry period during 2015, 2018, and 2023, which enabled the evaluation of temporal dynamics. The supervised classification of RS rasters was supported by the Scikit-Learn ML package of Python embedded in the GRASS GIS. The Bight of Sofala is characterized by diverse marine ecosystems dominated by swamp wetlands and mangrove forests located in the mixed saline–fresh waters along the eastern coast of Mozambique. This paper demonstrates the advantages of using ML for RS data classification in the environmental monitoring of coastal areas. The integration of Earth Observation data, processed using a decision tree classifier by ML methods and land cover characteristics enabled the detection of recent changes in the coastal ecosystem of Mozambique, East Africa.
Research Interests: Cartography, Earth Sciences, Computer Science, Programming Languages, Education, and 15 moreImage Processing, Remote Sensing, Machine Learning, Data Analysis, Sustainable Development, Africa, Mozambique, Python, Environmental Sustainability, Digital Image Processing, Random Forest, Mapping, Python Programming, Satellite Imagery, and Geographic Information Systems (GIS)
The objective of this research is to evaluate Landsat OLI/TIRS multispectral images, and fusion of GRASS GIS, GMT and QGIS software for land cover mapping in Guinea, West Africa. The scenes of Landsat imagery were acquired on February... more
The objective of this research is to evaluate Landsat OLI/TIRS multispectral images, and fusion of GRASS GIS, GMT and QGIS software for land cover mapping in Guinea, West Africa. The scenes of Landsat imagery were acquired on February 2014, 2018 and 2023. Land cover data were used from FAO for validation of classes. The images were classified into 18 classes and upscaled to 10 classes for generalisation towards the study area regional setting. The method included K-means clustering using scripting approach with programming codes included in Appendix. The results demonstrated that the script-based computer vision approach to image processing, classification and analysis is effective in extracting land cover classes for environmental mapping of tropical region of West Africa.
Research Interests: Geography, Cartography, Earth Sciences, Environmental Science, Education, and 15 moreImage Processing, Remote Sensing, Environmental Studies, Data Analysis, Sustainable Development, Africa, Geoinformatics, Environmental Sustainability, Landscape, Data Visualization, Programming, Guinea, Mapping, Satellite Imagery, and Geographic Information Systems (GIS)
This paper presents an R-based approach to mapping dynamics of the flooded areas in the Inner Niger Delta (IND), Mali, using time series analysis of Landsat 8-9 satellite images. As the largest inland wetland in West Africa, the habitats... more
This paper presents an R-based approach to mapping dynamics of the flooded areas in the Inner Niger Delta (IND), Mali, using time series analysis of Landsat 8-9 satellite images. As the largest inland wetland in West Africa, the habitats of IND offers high potential for biodiversity of the flood-dependent e c o systems. IND is one of the most productive areas in West Africa. Mapping flooded areas based on satellite images enables to provide strategies for land management and rice planting and modelling vegetation types of IND. Our approach is based on using libraries of R programming language for processing six Landsat images, and each image was taken on November from 2013 to 2022. By capturing spatial and temporal structures of the satellite images on 2013, 2015, 2018, 2020, 2021 and 2022, the remote sensing data are combined to yield estimates of landscape dynamics that is temporally coherent, while helping to analyse fluctuations of spatial extent in fluvial wetlands caused by the hydrological processes of seasonal flooding. Further, by allowing packages of R to support image processing, an approach to mapping vegetation by NDVI, SAVI and EVI indices and visualising changes in distribution of different land cover classes over time is realised. In this context, processing Earth observation data by advanced scripting tools of R language provides new insights into complex interlace of climate-hydrological processes and vegetation responses. Our study contributes to the sustainable management of natural resources and improving knowledge on the functioning of IND ecosystems in Mali, West Africa.
Research Interests: Earth Sciences, Computer Science, Programming Languages, Image Processing, Remote Sensing, and 15 moreData Analysis, Sustainable Development, Africa, Geoinformatics, West Africa, Environmental Monitoring, Satellite remote sensing, Environmental Sustainability, R programming language, Digital Image Processing, Earth and Environmental Sciences, Data Visualization, Programming, Satellite Imagery, and Landsat-7 ETM +
Lake Chad, situated in the semi-arid region of African Sahel, plays a vital role in hydrogeological balance of regional ecosystems. It presents an essential water source and provides a habitat for rare wildlife species including migrating... more
Lake Chad, situated in the semi-arid region of African Sahel, plays a vital role in hydrogeological balance of regional ecosystems. It presents an essential water source and provides a habitat for rare wildlife species including migrating waterbirds. However, the lake has shrunk significantly since the 1960s and has continued to reduce in size and extent during recent decades. Trends in drying and shrinking of Lake Chad are caused by environmental factors and changed climate. The desiccation of the lake is threatening environmental sustainability. This study focused on identification of changes in the Chad Lake area, wetland extent, and associated land cover types. The methods include the Geographic Resources Analysis Support System (GRASS) Geographic Information System (GIS) for remote sensing data classification. The maximum likelihood discriminant analysis classifier was applied for analysis of multispectral Landsat 8–9 OLI/TIRS images in 2013, 2017, and 2022. Detected changes in land cover types reflect variations in water balance and wetland area and extent around Lake Chad over recent decades. Cartographic scripting tools of GRASS GIS provide an efficient method of digital image processing for monitoring endorheic lakes of Central Africa. GRASS GIS methods provide an opportunity to automatically classify Earth observation data with cartographic scripts for environmental monitoring.
Research Interests: Geography, Cartography, Earth Sciences, Environmental Science, Computer Science, and 15 moreProgramming Languages, Remote Sensing, Climate Change, Sustainable Development, Africa, Geoinformatics, Image Analysis, Environmental Sustainability, Landscape, Remote sensing and GIS, Earth and Environmental Sciences, Mapping, Satellite Remote Sensing & Image Processing, GRASS GIS, and Geographic Information Systems (GIS)
This study documents the changes in the Land Use/Land Cover (LULC) in the region of saline lakes in north Tunisia, Sahara Desert. Remote sensing data are a valuable data source in monitoring LULC in lacustrine landscapes, because... more
This study documents the changes in the Land Use/Land Cover (LULC) in the region of saline lakes in north Tunisia, Sahara Desert. Remote sensing data are a valuable data source in monitoring LULC in lacustrine landscapes, because variations in the extent of lakes are visible from space and can be detected on the images. In this study, changes in LULC of the salt pans of Tunisia were evaluated using a series of 12 Landsat 8-9 Operational Land Imager (OLI) and Thermal Infrared (TIRS) images. The images were processed with the Geographic Resources Analysis Support System (GRASS) Geographic Information System (GIS) software. The study area included four salt lakes of north Tunisia in the two regions of the Gulf of Hammamet and Gulf of Gabès: (1) Sebkhet de Sidi el Hani (Sousse Governorate), (2) Sebkha de Moknine (Mahdia Governorate), (3) Sebkhet El Rharra and (4) Sebkhet en Noual (Sfax). A quantitative estimate of the areal extent analysed in this study is 182 km × 185 km for each Landsat scene in two study areas: Gulf of Hammamet and Gulf of Gabès. The images were analysed for the period 2017–2023 on months February, April and July for each year. Spatio-temporal changes in LULC and their climate–environmental driving forces were analysed. The results were interpreted and the highest changes were detected by accuracy assessment, computing the class separability matrices, evaluating the means and standard deviation for each band and plotting the reject probability maps. Multi-temporal changes in LULC classes are reported for each image. The results demonstrated that changes in salt lakes were determined for winter/spring/summer months as detected changes in water/land/salt/sand/vegetation areas. The accuracy of the classified images was evaluated using pixel rejection probability values, which were filtered out using the ‘r.mapcalc’ module of GRASS GIS. The confidence levels were computed and visualised with a series of maps along with the error matrix and measured convergence level of classified pixels. This paper contributes to the environmental monitoring of Tunisian landscapes and analysis of climate effects on LULC in landscapes of north Africa.
Research Interests: Cartography, African Studies, Earth Sciences, Environmental Science, Computer Science, and 15 moreImage Processing, Remote Sensing, Sustainable Development, Africa, Image Analysis, Environmental Sustainability, Digital Image Processing, Programming, Mapping, Tunisia, Sahara, Satellite Remote Sensing & Image Processing, GRASS GIS, Landsat, and Geographic Information Systems (GIS)
In this paper, the climate and environmental datasets were processed by the scripts of Generic Mapping Tools (GMT) and R to evaluate changes in climate parameters, vegetation patters and land cover types in Burkina Faso. Located in the... more
In this paper, the climate and environmental datasets were processed by the scripts of Generic Mapping Tools (GMT) and R to evaluate changes in climate parameters, vegetation patters and land cover types in Burkina Faso. Located in the southern Sahel zone, Burkina Faso experiences one of the most extreme climatic hazards in sub-saharan Africa varying from the extreme floods in Volta River Basin, to desertification and recurrent droughts.. The data include the TerraClimate dataset and satellite images Landsat 8-9 Operational Land Imager (OLI) and Thermal Infrared (TIRS) C2 L1. The dynamics of target climate characteristics of Burkina Faso was visualised for 2013-2022 using remote sensing data. To evaluate the environmental dynamics the TerraClimate data were used for visualizing key climate parameter: extreme temperatures, precipitation, soil moisture, downward surface shortwave radiation, vapour pressure deficit and anomaly. The Palmer Drought Severity Index (PDSI) was modelled over the study area to estimate soil water balance related to the soil moisture conditions as a prerequisites for vegetation growth. The land cover types were mapped using the k-means clustering by R. Two vegetation indices were computed to evaluate the changes in vegetation patterns over recent decade. These included the Normalized Difference Vegetation Index (NDVI) and the Soil-Adjusted Vegetation Index (SAVI) The scripts used for cartographic workflow are presented and discussed. This study contributes to the environmental mapping of Burkina Faso with aim to highlight the links between the climate processes and vegetation dynamics in West Africa.
Research Interests: Geography, Cartography, Environmental Science, Programming Languages, Image Processing, and 15 moreRemote Sensing, Climate Change, Data Analysis, Africa, Geoinformatics, Image Analysis, Environmental Sustainability, Remote sensing and GIS, Data Visualization, Programming, Geosciences, Mapping, Burkina Faso, Land Use/ Land Cover Dynamics and LULc Modeling, and Geographic Information Systems (GIS)
This paper presents the object detection algorithms GRASS GIS applied for Landsat 8-9 OLI/TIRS data. The study area includes the Sudd wetlands located in South Sudan. This study describes a programming method for the automated processing... more
This paper presents the object detection algorithms GRASS GIS applied for Landsat 8-9 OLI/TIRS data. The study area includes the Sudd wetlands located in South Sudan. This study describes a programming method for the automated processing of satellite images for environmental analytics, applying the scripting algorithms of GRASS GIS. This study documents how the land cover changed and developed over time in South Sudan with varying climate and environmental settings, indicating the variations in landscape patterns. A set of modules was used to process satellite images by scripting language. It streamlines the geospatial processing tasks. The functionality of the modules of GRASS GIS to image processing is called within scripts as subprocesses which automate operations. The cutting-edge tools of GRASS GIS present a cost-effective solution to remote sensing data modelling and analysis. This is based on the discrimination of the spectral reflectance of pixels on the raster scenes. Scripting algorithms of remote sensing data processing based on the GRASS GIS syntax are run from the terminal, enabling to pass commands to the module. This ensures the automation and high speed of image processing. The algorithm challenge is that landscape patterns differ substantially, and there are nonlinear dynamics in land cover types due to environmental factors and climate effects. Time series analysis of several multispectral images demonstrated changes in land cover types over the study area of the Sudd, South Sudan affected by environmental degradation of landscapes. The map is generated for each Landsat image from 2015 to 2023 using 481 maximum-likelihood discriminant analysis approaches of classification. The methodology includes image segmentation by ‘i.segment’ module, image clustering and classification by ‘i.cluster’ and ‘i.maxlike’ modules, accuracy assessment by ‘r.kappa’ module, and computing NDVI and cartographic mapping implemented using GRASS GIS. The benefits of object detection techniques for image analysis are demonstrated with the reported effects of various threshold levels of segmentation. The segmentation was performed 371 times with 90% of the threshold and minsize = 5; the process was converged in 37 to 41 iterations. The following segments are defined for images: 4515 for 2015, 4813 for 2016, 4114 for 2017, 5090 for 2018, 6021 for 2019, 3187 for 2020, 2445 for 2022, and 5181 for 2023. The percent convergence is 98% for the processed images. Detecting variations in land cover patterns is possible using spaceborne datasets and advanced applications of scripting algorithms. The implications of cartographic approach for environmental landscape analysis are discussed. The algorithm for image processing is based on a set of GRASS GIS wrapper functions for automated image classification.
Research Interests: Geography, Cartography, Earth Sciences, Environmental Science, Computer Science, and 15 moreImage Processing, Remote Sensing, Data Analysis, Africa, Geoinformatics, Image Analysis, Environmental Sustainability, Remote sensing and GIS, Image segmentation, Digital Image Processing, Data Visualization, Image Classification, Mapping, South Sudan, and Geographic Information Systems (GIS)
The volcanic Kerguelen Islands are formed on one of the world’s largest submarine plateaus. Located in the remote segment of the southern Indian Ocean close to Antarctica, the Kerguelen Plateau is notable for a complex tectonic origin and... more
The volcanic Kerguelen Islands are formed on one of the world’s largest submarine plateaus. Located in the remote segment of the southern Indian Ocean close to Antarctica, the Kerguelen Plateau is notable for a complex tectonic origin and geologic formation related to the Cretaceous history of the continents. This is reflected in the varying age of the oceanic crust adjacent to the plateau and the highly heterogeneous bathymetry of the Kerguelen Plateau, with seafloor structure differing for the southern and northern segments. Remote sensing data derived from marine gravity and satellite radar altimetry surveys serve as an important source of information for mapping complex seafloor features. This study incorporates geospatial information from NOAA, EMAG2, WDMAM, ETOPO1, and EGM96 datasets to refine the extent and distribution of the extracted seafloor features. The cartographic joint analysis of topography, magnetic anomalies, tectonic and gravity grids is based on the integrated mapping performed using the Generic Mapping Tools (GMT) programming suite. Mapping of the submerged features (Broken Ridge, Crozet Islands, seafloor fabric, orientation, and frequency of magnetic anomalies) enables analysis of their correspondence with free-air gravity and magnetic anomalies, geodynamic setting, and seabed structure in the southwest Indian Ocean. The results show that integrating the datasets using advanced cartographic scripting language improves identification and visualization of the seabed objects. The results include 11 new maps of the region covering the Kerguelen Plateau and southwest Indian Ocean. This study contributes to increasing the knowledge of the seafloor structure in the French Southern and Antarctic Lands.
Research Interests: Engineering, Cartography, Earth Sciences, Environmental Science, Geology, and 15 moreGeophysics, Oceanography, Computer Science, Programming Languages, Geomatics, Polar Studies, Marine Geology, Data Analysis, Geodynamics, Data Visualization, Programming, Antarctica, Mapping, Geomatics Engineering, and Geographic Information Systems (GIS)
In many civil engineering problems, soil is stabilized by a combination of binders and water. The success of stabilization is evaluated using seismic tests with measured P-wave velocities. Optimization of process, laboratory testing and... more
In many civil engineering problems, soil is stabilized by a combination of binders and water. The success of stabilization is evaluated using seismic tests with measured P-wave velocities. Optimization of process, laboratory testing and data modelling are essential to reduce the costs of the industrial projects. This paper reports the optimized workflow of soil stabilization through evaluated effects from the two factors controlling the development of strength: (1) the ratio between water and binder; (2) the proportions of different binders (cement/slag) were changed experimentally in a mixture of samples to evaluate the strength of soil. The experimental results show an optimal combination of 30% cement and 70% slag with a binder content of 120 kg/m3 and a maximum water binder ratio (w/b) of 5. Such proportions of mixture demonstrated effective soil stabilization both on a pilot test scale and on full scale for industrial works. The correlation between the compressive strength and relative deformation of specimens revealed that strength has the highest values for w/b = 5 and the lowest for w/b = 7. In case of high water content in soil and wet samples, the condition of a w/b ≤ 5 will require a higher amount of binder.
Research Interests: Engineering, Materials Engineering, Civil Engineering, Safety Engineering, Soil Science, and 15 moreMaterials Science, Road safety, Composite Materials and Structures, Construction Technology, Construction Management, Soil Mechanics, Materials Science and Engineering, Seismic Engineering, Road Pavement Engineering and Design, Seismic soil-structure interaction (pile foundations), Soil Stabilization, Cement, HIGHWAY ROADS AND BRIDGES, Cement and Concrete Materials, and Soil Foundations
In this research project, the measurements of the ultrasonic P- and S-waves and seismic cone penetration testing (CPT) were applied to identify subsurface conditions and properties of clayey soil stabilized with lime/cement columns in the... more
In this research project, the measurements of the ultrasonic P- and S-waves and seismic cone penetration testing (CPT) were applied to identify subsurface conditions and properties of clayey soil stabilized with lime/cement columns in the Stockholm Norvik Port, Sweden. Applied geophysical methods enabled to identify a connection between the resistance of soil and strength in the stabilized columns. The records of the seismic tests were obtained in the laboratory of Swedish Geotechnical Institute (SGI) through estimated P- and S-wave velocities using techniques of resonance frequency measurement of the stabilized specimens. The CPT profiles were used to evaluate the quality of the lime/cement columns of the reinforced soil by the interpretation of signals. The relationship between the P- and S-waves demonstrated a gain in strength during soil hardening. The quality of soil was evaluated by seismic measurements with aim to achieve sufficient strength of foundations prior to the construction of the infrastructure objects and industrial works. Seismic CPT is an effective method essential to evaluate the correct placement of the CPT inside the column. This work demonstrated the alternative seismic methods supporting the up-hole technology of drilling techniques for practical purpose in civil engineering and geotechnical works.
Research Interests: Engineering, Acoustic Engineering, Civil Engineering, Earth Sciences, Soil Science, and 15 moreAcoustics, Acoustic Modelling, Construction Management, Geotechnical Engineering, Seismic data processing, Seismic Engineering, Soil Stabilization, Building Construction, Compressive Strength, Cement, Seismic analysis and design, Wave propagation, Shear Strength, Cement and Concrete Materials, and Soil Foundations
This study presents new maps of the topographic and geophysical setting and seismicity in the region of the Gulf of Panama. The spatial analysis is based on the comparative analysis of the datasets on geoid, free-air gravity anomaly,... more
This study presents new maps of the topographic and geophysical setting and seismicity in the region of the Gulf of Panama. The spatial analysis is based on the comparative analysis of the datasets on geoid, free-air gravity anomaly, topography and earthquakes. The cartographic framework is developed using the Generic Mapping Tools (GMT) scripting toolset. Seismic activity in the Central America is high due to the complex geologic setting, tectonic activity and lithosphere plate subduction. The data include the Earth Gravitational Model (EGM2008), the General Bathymetric Chart of the Oceans (GEBCO) and gravity grids. The seismicity data were collected from the Incorporated Research Institutions for Seismology (IRIS) catalogue on 1970-2021. The variations in data were compared to analyse correlations between the geophysical, seismic and topographic parameters. Free-air gravity, geoid and topographic data derived from the high-resolution datasets were used to investigate their effects on the main seismic sources in the region. The comparison of the maps showed that the distribution of the shallow earthquakes in the Pacific segment of Panama coincides with negative free-air anomalies and lower geoid values. The results revealed high values of geoid in the high mountainous regions of Panama (Cordilliera de Talamanca, southern coast of Peninsula de Azuero and eastern Panama, 77.5-78.5°W), which correspond to the topographic roughness in the highlands. Negative values of geoid are found over the Caribbean Sea basin (−4 to 0 m). The analyses of seismicity showed 1740 earthquake events varying by magnitudes from 2.9 to 7.8 at the depths up to 225 m (near the west coast of Colombia). A high concentration of the earthquakes is in the western region of the Panama's shelf waters (~82-83.5°W), and on the border with Colombia (~77-78.5°W). High gravity anomalies (over 220 mGal) are found in the mountainous regions which match the geodynamic processes associated with the Earth structure and geodetic and geophysical effects. The regions of the high seismicity were defined in the Gulf of Chiriqui and eastern part of the Gulf of Panama.
Research Interests: Cartography, Earth Sciences, Geology, Geophysics, Computer Science, and 15 moreProgramming Languages, Earthquake Engineering, Seismic Hazard, Data Analysis, Sustainable Development, Geoinformatics, Environmental Sustainability, Risk Assessment & Risk Management, Panama, Data Visualization, Mapping, Gravity, Central America, South America, and Geographic Information Systems (GIS)
Monitoring wetlands of Kenya is critical for analysis of environmental changes since they present unique ecosystems with special hydrological balance and biodiversity. In this study, the Landsat 8-9 OLI/TIRS satellite images for 2015-2022... more
Monitoring wetlands of Kenya is critical for analysis of environmental changes since they present unique ecosystems with special hydrological balance and biodiversity. In this study, the Landsat 8-9 OLI/TIRS satellite images for 2015-2022 were classified using GRASS GIS scripts to evaluate changes in the Lorian Swamp wetland, northeastern Kenya. The results of the image analysis presented maps of land cover changes including wetlands. The study demonstrated technical effectiveness of the GRASS GIS for image analysis, and contributed to the environmental monitoring of African wetlands.
Research Interests: Landscape Ecology, Geography, Cartography, African Studies, Computer Science, and 15 moreEducation, Image Processing, Remote Sensing, Wetlands, Sustainable Development, Ecology, Wetland Ecology, Sustainable Water Resources Management, Biodiversity, Environmental Sustainability, Kenya, Digital Image Processing, GRASS GIS, Satellite Imagery, and Geographic Information Systems (GIS)
This paper aims to evaluate the effects of blended binders on the development of strength in moraine soils by optimising the proportion of several binders. We tested three types of soil as a mixture of moraine soils: A (sandy clay), B... more
This paper aims to evaluate the effects of blended binders on the development of strength in moraine soils by optimising the proportion of several binders. We tested three types of soil as a mixture of moraine soils: A (sandy clay), B (clayey silt) and C (silty clay), collected in southern Sweden. The soil was compacted using a modified Proctor test using the standard SS-En 13286-2:2010 to determine optimum moisture content. The particle size distribution was analysed to determine suitable binders. The specimens of types A, B and C, were treated by six different binders: ordinary Portland cement (oPC); hydrated lime (Ca(oh) 2); ground granulated blast furnace slag (GGBFS) and their blends in various proportions. The strength gain in soil treated by binders was evaluated by the test for Unconfined Compressive Strength (UCS) against curing time. For soil type A, the strength increase is comparable for most of the binders, with the difference in behaviour in the UCS gain. The oPC/lime, GGBFS and hydrated lime showed a direct correlation, while oPC, oPC/GGBFS and GGBFS/hydrated lime – a quick gain in the UCS by day 28th. After that, the rate of growth decreased. Compared to soil type A, Ca(oh)2 performs better on the stabilisation of soil type B. Besides, the hydrated lime works better on the gain of the UCS compared to other binders. The GGBFS/Ca(oh) 2 blend shows a notable effect on soil type A: the UCS of soil treated by Ca(oh) 2 performs similarly to those treated by oPC with visible effects on day 90 th. Cement and a blend of slag/hydrated lime demonstrated the best results for soil type B. An effective interaction was noted for the blends GGBFS and hydrated lime, which is reflected in the UCS development in soils type A and B. Blended binder GGBFS/hydrated lime performs better compared to single binders.
Research Interests: Engineering, Materials Engineering, Mechanical Engineering, Civil Engineering, Earth Sciences, and 15 moreGeology, Soil Science, Computer Science, Materials Science, Construction Materials, Composite Materials and Structures, Geotechnical Engineering, Materials Science and Engineering, Soil Stabilization, Building Construction, Supplementary Cementitious Materials, Cement, HIGHWAY ROADS AND BRIDGES, Cement and Concrete Materials, and Soil Foundations
Automated classification of satellite images is a challenging task that enables the use of remote sensing data for environmental modeling of Earth’s landscapes. In this document, we implement a GRASS GIS-based framework for discriminating... more
Automated classification of satellite images is a challenging task that enables the use of remote sensing data for environmental modeling of Earth’s landscapes. In this document, we implement a GRASS GIS-based framework for discriminating land cover types to identify changes in the endorheic basins of the ephemeral salt lakes Chott Melrhir and Chott Merouane, Algeria; we employ embedded algorithms for image processing. This study presents a dataset of the nine Landsat 8–9 OLI/TIRS satellite images obtained from the USGS for a 9-year period, from 2014 to 2022. The images were analyzed to detect changes in water levels in ephemeral lakes that experience temporal fluctuations; these lakes are dry most of the time and are fed with water during rainy periods. The unsupervised classification of images was performed using GRASS GIS algorithms through several modules: `i.cluster’ was used to generate image classes; `i.maxlik’ was used for classification using the maximal likelihood discriminant analysis, and auxiliary modules, such as `i.group’, `r.support’, `r.import’, etc., were used. This document includes technical descriptions of the scripts used for image processing with detailed comments on the functionalities of the GRASS GIS modules. The results include the identified variations in the ephemeral salt lakes within the Algerian part of the Sahara over a 9-year period (2014–2022), using a time series of Landsat OLI/TIRS multispectral images that were classified using GRASS GIS. The main strengths of the GRASS GIS framework are the high speed, accuracy, and effectiveness of the programming codes for image processing in environmental monitoring. The presented GitHub repository, which contains scripts used for the satellite image analysis, serves as a reference for the interpretation of remote sensing data for the environmental monitoring of arid and semi-arid areas of Africa.
Research Interests: Cartography, African Studies, Earth Sciences, Computer Science, Image Processing, and 15 moreRemote Sensing, Data Analysis, Geoinformatics, Image Analysis, Environmental Sustainability, Remote sensing and GIS applications in Landscape Research, Remote sensing and GIS, Digital Image Processing, Image Classification, Mapping, Algeria, Sahara, Satellite Remote Sensing & Image Processing, Land Use/ Land Cover Dynamics and LULc Modeling, and Geographic Information Systems (GIS)
To optimize the workflow of civil engineering construction in a harbour, this paper developed a framework of the contaminant leaching assessment carried out on the stabilized/solidified dredged soil material. The specimens included the... more
To optimize the workflow of civil engineering construction in a harbour, this paper developed a framework of the contaminant leaching assessment carried out on the stabilized/solidified dredged soil material. The specimens included the sampled sediments collected from the in situ fieldwork in Arendal and Kongshavn. The background levels of the concentration of pollutants were evaluated to assess the cumulative surface leaching of substances from samples over two months. The contamination of soil was assessed using a structured workflow scheme on the following toxic substances, heavy metals-As, Pb, Cd, Cr, Hg, Ni, and Zn; organic compounds-PAH-16 and PCB; and organotin compounds-TBT. The numerical computation and data analysis were applied to the results of geochemical testing creating computerised solutions to soil quality evaluation in civil engineering. Data modelling enabled the estimation of leaching of the contaminants in one year. The estimated leaching of As is 0.9153 mg/m 2 , for Ni-2.8178 mg/m 2 , for total PAH-16 as 0.0507 mg/m 2 , and for TBT-0.00061 mg/m 2 per year. The performance of the sediments was examined with regard to permeability through a series of the controlled experiments. The environmental engineering tests were implemented in the Swedish Geotechnical Institute (SGI) in a triplicate mode over 64 days. The results were compared for several sites and showed that the amount of As is slightly higher in Kongshavn than for Arendal, while the content of Cd, Cr, and Ni is lower. For TBT, the levels are significantly lower than for those at Arendal. The algorithm of permeability tests evaluated the safety of foundation soil for construction of embankments and structures. The optimized assessment methods were applied for monitoring coastal areas through the evaluated permeability of soil and estimated leaching rates of heavy metals, PHB, PACs, and TBT in selected test sites in harbours of southern Norway.
Research Interests: Engineering, Materials Engineering, Civil Engineering, Control Systems Engineering, Earth Sciences, and 15 moreGeology, Computer Science, Materials Science, Construction Materials, Data Analysis, Optimization techniques, Applied Geology, Materials Science and Engineering, Control Systems, Soil Stabilization, Building Construction, Cement, Optimization Technology, HIGHWAY ROADS AND BRIDGES, and Cement and Concrete Materials
Evaluating the subground properties during the initial stage of a construction of building is important in order to estimate the suitability of soil quality to the technical requirements of bearing capacity, resistance to stress, and... more
Evaluating the subground properties during the initial stage of a construction of building is important in order to estimate the suitability of soil quality to the technical requirements of bearing capacity, resistance to stress, and strength. This study presented the evaluation of the geotechnical properties of soil intended for the construction of Max IV facility of Lund University, performed in fieldwork and laboratory. The in situ methods included drilling boreholes, core sampling and assessment, crosshole measurements, and borehole logging. The laboratory-based measurements were performed at Swedish Geotechnical Institute and combined seismic measurements of drill cores, determination of the uniaxial compressive strength (UCS), and examination of material property: sieve analysis and natural moisture content. UCS was evaluated with regard to velocities of elastic P-waves. The synchronous light test by X-ray diffraction was performed for qualitative analysis of mineral composition of samples. The study applied integrated approach of the diverse geophysical methods to solve practical tasks on the evaluation of foundation strength and geotechnical parameters. This study demonstrated the benefits of integrated seismic and geophysical methods applied to soil exploration in civil engineering for testing quality of foundation materials.
Research Interests: Engineering, Civil Engineering, Earth Sciences, Geophysics, Soil Science, and 15 moreComputer Science, Construction Materials, Geotechnical Engineering, Data Analysis, Clay Minerals, Drilling Engineering, Seismic Engineering, X-ray Diffraction, Soil Stabilization, Cement, Building and Construction Materials, Seismic analysis and design, Strength of materials, Cement Industry, and Cement and Concrete Materials
Desertification is one of the most destructive climate-related issues in the Sudan–Sahel region of Africa. As the assessment of desertification is possible by satellite image analysis using vegetation indices (VIs), this study reports on... more
Desertification is one of the most destructive climate-related issues in the Sudan–Sahel region of Africa. As the assessment of desertification is possible by satellite image analysis using vegetation indices (VIs), this study reports on the technical advantages and capabilities of scripting the ‘raster’ and ‘terra’ R-language packages for computing the VIs. The test area which was considered includes the region of the confluence between the Blue and White Niles in Khartoum, southern Sudan, northeast Africa and the Landsat 8–9 OLI/TIRS images taken for the years 2013, 2018 and 2022, which were chosen as test datasets. The VIs used here are robust indicators of plant greenness, and combined with vegetation coverage, are essential parameters for environmental analytics. Five VIs were calculated to compare both the status and dynamics of vegetation through the differences between the images collected within the nine-year span. Using scripts for computing and visualising the VIs over Sudan demonstrates previously unreported patterns of vegetation to reveal climate–vegetation relationships. The ability of the R packages ‘raster’ and ‘terra’ to process spatial data was enhanced through scripting to automate image analysis and mapping, and choosing Sudan for the case study enables us to present new perspectives for image processing.
Research Interests: Geography, Cartography, African Studies, Environmental Science, Programming Languages, and 15 moreImage Processing, Remote Sensing, Environmental Studies, Sustainable Development, Africa, Image Analysis, Vegetation Ecology, Desertification, Environmental Sustainability, Remote sensing and GIS, R programming language, Digital Image Processing, Programming, Mapping, and Vegetation
In this paper, we present a new framework for improving soil strength using an advanced method of engineering statistics. The materials included clay till collected in Yttre Ringvägen, southern Sweden. Binders included quicklime, slag and... more
In this paper, we present a new framework for improving soil strength using an advanced method of engineering statistics. The materials included clay till collected in Yttre Ringvägen, southern Sweden. Binders included quicklime, slag and ordinary Portland cement used as pure binders and blended mixtures. We first applied the Response Surface Methodology techniques aimed at binder blend optimisation: 1) Central Composite Design; 2) Box-Behnken Design; 3) Simplex Lattice Design. The Pareto charts were presented for modelling responses from tests with different binders and estimating their effects on soil strength. Finally, to examine the variables important for soil stabilisation, we also evaluated the effect of the amount of binder and the interaction between cement/lime/slag in different ratios: 30-50-20 %; 50-50-0 %; 100-0-0 % The paper highlights the major opportunities and challenges of engineering statistics as a cross-cutting research direction for the issues of civil engineering.
Research Interests: Engineering, Environmental Engineering, Materials Engineering, Civil Engineering, Earth Sciences, and 15 moreEnvironmental Science, Soil Science, Materials Science, Statistics, Earthquake Engineering, Construction Management, Geotechnical Engineering, Data Analysis, Statistical Analysis, Statistical Modeling, Environmental Sustainability, Soil Stabilization, Building Construction, Cement, and Cement and Concrete Materials
The interactions between the geophysical processes and geodynamics of the lithosphere play a crucial role in the geologic structure of the Earth’s crust. The Bangui magnetic anomaly is a notable feature in the lithospheric structure of... more
The interactions between the geophysical processes and geodynamics of the lithosphere play a crucial role in the geologic structure of the Earth’s crust. The Bangui magnetic anomaly is a notable feature in the lithospheric structure of the Central African Republic (CAR) resulting from a complex tectonic evolution. This study reports on the coherence in the geophysical data and magnetic anomaly field analysed from a series of maps. The data used here include raster grids on free-air altimetric gravity, magnetic EMAG2 maps, geoid EGM2008 model and topographic SRTM/ETOPO1 relief. The data were processed to analyse the correspondence between the geophysical and geologic setting in the CAR region. Histogram equalization of the topographic grids was implemented by partition of the raster grids into equal-area patches of data ranged by the segments with relative highs and lows of the relief. The original data were compared with the equalized, normalized and quadratic models. The scripts used for cartographic data processing are presented and commented. The consistency and equalization of topography, gravity and geoid data were based using GMT modules ‘grdfft’ and ‘grdhisteq’ modules. Using GMT scripts for mapping the geophysical and gravity data over CAR shows an advanced approach to multi-source data visualization to reveal the relationships in the geophysical and topographic processes in central Africa. The results highlighted the correlation between the distribution of rocks with high magnetism in the central part of the Bangui anomaly, and distribution of granites, greenstone belts, and metamorphosed basalts as rock exposure. The correspondence between the negative Bouguer anomaly (<−80 mGal), low geoid values (<−12 m) and the extent of the magnetic anomaly with extreme negative values ranging from −1000 to −200 nT is identified. The integration of the multi-source data provides new insights into the analysis of crustal thicknesses and the average density of the Earth in CAR, as well as the magnitude of the magnetic fields with notable deviations caused by the magnetic flux density in the Bangui area related to the distribution of mineral resources in CAR.
Research Interests: Environmental Engineering, Cartography, African Studies, Earth Sciences, Geodesy, and 15 moreGeology, Geophysics, Mineralogy, Computer Science, Programming Languages, Data Analysis, Africa, Magnetic Materials, Geodynamics, Gravimetry, Geological mapping, Topography, Electro Magnetic Fields, Magnetism and Magnetic Materials, and Central African Republic
This paper addresses the issue of the satellite image processing using GRASS GIS in the mangrove forests of the Niger River Delta, southern Nigeria. The estuary of the Niger River Delta in the Gulf of Guinea is an essential hotspot of... more
This paper addresses the issue of the satellite image processing using GRASS GIS in the mangrove forests of the Niger River Delta, southern Nigeria. The estuary of the Niger River Delta in the Gulf of Guinea is an essential hotspot of biodiversity on the western coast of Africa. At the same time, climate issues and anthropogenic factors affect vulnerable coastal ecosystems and result in the rapid decline of mangrove habitats. This motivates monitoring of the vegetation patterns using advanced cartographic methods and data analysis. As a response to this need, this study aimed to calculate and map several vegetation indices (VI) using scripts as advanced programming methods integrated in geospatial studies. The data include four Landsat 8-9 OLI/TIRS images covering the western segment of the Niger River Delta in the Bight of Benin for 2013, 2015, 2021, and 2022. The techniques included the ’i.vi’, ’i.landsat.toar’ and other modules of the GRASS GIS. Based on the GRASS GIS ’i.vi’ module, ten VI were computed and mapped for the western segment of the Niger River Delta estuary: Atmospherically Resistant Vegetation Index (ARVI), Green Atmospherically Resistant Vegetation Index (GARI), Green Vegetation Index (GVI), Difference Vegetation Index (DVI), Perpendicular Vegetation Index (PVI), Global Environmental Monitoring Index (GEMI), Normalized Difference Water Index (NDWI), Second Modified Soil Adjusted Vegetation Index (MSAVI2), Infrared Percentage Vegetation Index (IPVI), and Enhanced Vegetation Index (EVI). The results showed variations in the vegetation patterns in mangrove habitats situated in the Niger River Delta over the last decade as well as the increase in urban areas (Onitsha, Sapele, Warri and Benin City) and settlements in the Delta State due to urbanization. The advanced techniques of the GRASS GIS of satellite image processing and analysis enabled us to identify and visualize changes in vegetation patterns. The technical excellence of the GRASS GIS in image processing and analysis was demonstrated in the scripts used in this study.
Research Interests: Cartography, African Studies, Earth Sciences, Programming Languages, Education, and 15 moreImage Processing, Sustainable Development, Africa, Mangroves, Image Analysis, Mangrove Ecology, Environmental Sustainability, Nigeria, Digital Image Processing, Mapping, Remote Sensing and Mangrove, Satellite Remote Sensing & Image Processing, GRASS GIS, Landsat-7 ETM +, and Geographic Information Systems (GIS)
With methods for processing remote sensing data becoming widely available, the ability to quantify changes in spatial data and to evaluate the distribution of diverse landforms across target areas in datasets becomes increasingly... more
With methods for processing remote sensing data becoming widely available, the ability to quantify changes in spatial data and to evaluate the distribution of diverse landforms across target areas in datasets becomes increasingly important. One way to approach this problem is through satellite image processing. In this paper, we primarily focus on the methods of the unsupervised classification of the Landsat OLI/TIRS images covering the region of the Qena governorate in Upper Egypt. The Qena Bend of the Nile River presents a remarkable morphological feature in Upper Egypt, including a dense drainage network of wadi aquifer systems and plateaus largely dissected by numerous valleys of dry rivers. To identify the fluvial structure and stream network of the Wadi Qena region, this study addresses the problem of interpreting the relevant space-borne data using R, with an aim to visualize the land surface structures corresponding to various land cover types. To this effect, high-resolution 2D and 3D topographic and geologic maps were used for the analysis of the geomorphological setting of the Qena region. The information was extracted from the space-borne data for the comparative analysis of the distribution of wadi streams in the Qena Bend area over several years: 2013, 2015, 2016, 2019, 2022, and 2023. Six images were processed using computer vision methods made available by R libraries. The results of the k-means clustering of each scene retrieved from the multi-temporal images covering the Qena Bend of the Nile River were thus compared to visualize changes in landforms caused by the cumulative effects of geomorphological disasters and climate-environmental processes. The proposed method, tied together through the use of R scripts, runs effectively and performs favorably in computer vision tasks aimed at geospatial image processing and the analysis of remote sensing data.
Research Interests: Cartography, African Studies, Earth Sciences, Education, Image Processing, and 15 moreRemote Sensing, Data Analysis, Sustainable Development, Africa, Image Analysis, Egypt, Desertification, Environmental Sustainability, Digital Image Processing, Data Visualization, Mapping, Nile River Basin, Satellite Remote Sensing & Image Processing, Landsat-7 ETM +, and K means Clustering
This study is aimed at evaluating the strength of stabilised soil collected from the Port of Norvik, Stockholm, Sweden, where 350,000 m 3 of clay had to be stabilized. The tests were performed in the laboratory of the Swedish Geotechnical... more
This study is aimed at evaluating the strength of stabilised soil collected from the Port of Norvik, Stockholm, Sweden, where 350,000 m 3 of clay had to be stabilized. The tests were performed in the laboratory of the Swedish Geotechnical Institute (SGI). The soil was stabilised by binder mixtures using Portland cement clinker (PCC) and lime and lime kiln dust (LKD). Accelerators (X-seed 100 BASF, PCC, LKD and salt) were added to the soil samples for quicker stabilization. The strength of the stabilised soil was assessed using resonance frequency measurements of seismic P-waves by an ICP accelerometer in order to estimate the shear strength of the soil and to evaluate the effects from the accelerators, binder ratios, and the curing temperature on the gains in stabilization and strength. Various proportions of the binders were tested, i.e.: 50/50 cement/lime and 50/50 PCC/lime. The temperature was measured using a calorimeter in double experiments. The results showed that the accelerators improve the strength in the stabilized specimens and enhance the soil performance for engineering construction work.
Research Interests: Engineering, Mechanical Engineering, Civil Engineering, Control Systems Engineering, Computer Science, and 15 moreMaterials Science, Construction Technology, Construction Management, Geotechnical Engineering, Control Engineering, Engineering Geology, Road Pavement Engineering and Design, Soil Stabilization, Building Construction, Data Science, Cement, Geotechnics, Building and Construction Materials, HIGHWAY ROADS AND BRIDGES, and Cement and Concrete Materials
Libraries with pre-written codes optimize the workflow in cartography and reduce labour intensive data processing by iteratively applying scripts to implementing mapping tasks. Most existing Geographic Information System (GIS) approaches... more
Libraries with pre-written codes optimize the workflow in cartography and reduce labour intensive data processing by iteratively applying scripts to implementing mapping tasks. Most existing Geographic Information System (GIS) approaches are based on traditional software with a graphical user's interface which significantly limits their performance. Although plugins are proposed to improve the functionality of many GIS programs, they are usually ad hoc in finding specific mapping solutions, e.g., cartographic projections and data conversion. We address this limitation by applying the principled approach of Geospatial Data Abstraction Library (GDAL), library for conversions between cartographic projections (PROJ) and Geographic Resources Analysis Support System (GRASS) GIS for geospatial data processing and morphometric analysis. This research presents topographic analysis of the dataset using scripting methods which include several tools: (1) GDAL, a translator library for raster and vector geospatial data formats used for converting Earth Global Relief Model (ETOPO1) GeoTIFF in XY Cartesian coordinates into World Geodetic System 1984 (WGS84) by the 'gdalwarp' utility; (2) PROJ projection transformation library used for converting ETOPO1 WGS84 grid to cartographic projections (Cassini-Soldner equirectangular, Equal Area Cylindrical, Two-Point Equidistant Azimuthal, and Oblique Mercator); and (3) GRASS GIS by sequential use of the following modules: r.info, d.mon, d.rast, r.colors, d.rast.leg, d.legend, d.northarrow, d.grid, d.text, g.region, and r.contour. The depth frequency was analysed by the module 'd.histogram'. The proposed approach provided a systematic way for morphometric measuring of topographic data and combine the advantages of the GDAL, PROJ, and GRASS GIS tools that include the informativeness, effectiveness, and representativeness in spatial data processing. The morphometric analysis included the computed slope, aspect, profile, and tangential curvature of the study area. The data analysis revealed the distribution pattern in topographic data: 24% of data with elevations below 400 m, 13% of data with depths −5000 to −6000 m, 4% of depths have values −3000 to −4000 m, the least frequent data (−6000 to 7000 m) <1%, 2% of depths have values −2000 to 3000 m in the basin, while other values are distributed proportionally. Further, by incorporating the generic coordinate transformation software library PROJ, the raster grid was transformed into various cartographic projections to demonstrate distortions in shape and area. Scripting techniques of GRASS GIS are demonstrated for applications in topographic modelling and raster data processing. The GRASS GIS shows the effectiveness for mapping and visualization, compatibility with libraries (GDAL, PROJ), technical flexibility in combining Graphical User Interface (GUI), and command-line data processing. The research contributes to the technical cartographic development.
Research Interests: Geography, Cartography, Earth Sciences, Geodesy, Geomorphology, and 15 moreComputer Science, Programming Languages, Image Processing, Data Analysis, Sustainable Development, Geoinformatics, Modeling and Simulation, Environmental Sustainability, Morphometry, Geoinformation, Data Visualization, Mapping, Topography, GRASS GIS, and Geographic Information Systems (GIS)
This study aimed at evaluating the effect of blended binders on the stabilization of clayey soils intended for use as road and pavement materials in selected regions of Sweden. The stabilization potential of blended binders containing... more
This study aimed at evaluating the effect of blended binders on the stabilization of clayey soils intended for use as road and pavement materials in selected regions of Sweden. The stabilization potential of blended binders containing five stabilizers (cement, bio fly ash, energy fly ash, slag and lime) was investigated using laboratory tests and statistical analysis. Soil samples were compacted using Swedish Standards on UCS. The specimens were stabilized with blended mixtures containing various ratios of five binders. The effects of changed ratio of binders on soil strength was analyzed using velocities of seismic P-waves penetrating the tested soil samples on the day 14 of the experiment. The difference in the soil surface response indicated variations in strength in the evaluated specimens. We tested combination of blended binders to improve the stabilization of clayey soil. The mix of slag/lime or slag/cement accelerated soil hardening process and gave durable soil product. We noted that pure lime (burnt or quenched) is best suited for the fine-grained soils containing clay minerals. Slag used in this study had a very finely ground structure and had hydraulic properties (hardens under water) without activation. Therefore, slag has a too slow curing process for it to be practical to use in real projects on stabilization of roads. The best performance on soil stabilization was demonstrated by blended binders consisted of lime / fly ash / cement which considerably improved the geotechnical properties and workability of soil and increased its strength. We conclude that bearing capacities of soil intended for road construction can be significantly improved by stabilization using mixed binders, compared to pure binders (cement).
Research Interests: Engineering, Materials Engineering, Civil Engineering, Materials Science, Construction Technology, and 15 moreConstruction Management, Geotechnical Engineering, Applied Statistics, Data Analysis, Recycling, Modeling and Simulation, Industrial Engineering, Materials Science and Engineering, Data Visualization, Soil Stabilization, Building Construction, Data Science, Geotechnics, HIGHWAY ROADS AND BRIDGES, and Cement and Concrete Materials
In this paper we propose a new technique of soil stabilization for road construction based on using new alternative binders. The project aims to evaluate the effects of alternative additive materials in soil stabilization contexts for... more
In this paper we propose a new technique of soil stabilization for road construction based on using new alternative binders. The project aims to evaluate the effects of alternative additive materials in soil stabilization contexts for road construction. The alternative binders (slag, energy ash and bio ash as new alternative road construction material) have been used to complement the traditional binders (cement and lime). The project used five binders and evaluated their effects on soil strength. The proposed method comprises advantages of using the alternative binders which are the residual products contributing to a lower environmental impact. The results have shown that only slag has significant effects on the strength of the stabilized soil, while bio ash and energy ash make a marginal contribution to the increase of strength. This is caused by the twofold reasons. First, the effects of the amount of ashes that should reach a certain threshold with respect to the total amount of binder that must be exceeded to have the effect of the soil mixture. Second, the bio fly ash was stored and it was not completely fresh which may have contributed to the carbonation during the storage period and results in a lower hardening ability. Based on the results of the study we recommend the use of bio fly ash as a supply material andfor its amount to be adjusted so the storage period is not too long. This study verified the effects of slag, cement and lime on stabilization of soil for road construction.
Research Interests: Engineering, Materials Engineering, Civil Engineering, Earth Sciences, Geochemistry, and 15 moreComputer Science, Materials Science, Statistics, Construction Management, Geotechnical Engineering, Data Analysis, Pavement Engineering, Road Pavement Engineering and Design, Soil Stabilization, Building Construction, Cement, Geological Engineering, Building and Construction Materials, HIGHWAY ROADS AND BRIDGES, and Cement and Concrete Materials
Clay soils can cause significant distress in road construction due to their low strength. Stabilizing such soil improve with binder agents prior to the geotechnical works can significantly its performance and ensure safety and stability... more
Clay soils can cause significant distress in road construction due to their low strength. Stabilizing such soil improve with binder agents prior to the geotechnical works can significantly its performance and ensure safety and stability of roads while exploitation. This research envisaged the use of five different binders (lime, energy fly ash, bio fly ash, slag, cement) as an additive stabilizing agents to improve the strength parameters of soil as required in engineering industry standards. The variations of strength was assessed using measurements of P-wave velocity of the elastic waves propagating through soil specimens stabilized by different combination of binders. Measurements were performed on 28 th day of soil treatment. The best effects of added binders were noted in the following combinations: cement / energy fly ash / bio fly ash (P-waves >3100 m/s), followed by combination lime / energy fly ash / GGBFS (P-waves >2800 m/s) and cement / lime / energy fly ash (P-waves >2700 m/s). Adding lime is effective due to its fixation and chemical bond with particles. The study contributes to the industrial tests on soil strength for constructing roadbed.
Research Interests: Engineering, Materials Engineering, Civil Engineering, Soil Science, Computer Science, and 15 moreMaterials Science, Statistics, Road safety, Composite Materials and Structures, Construction Technology, Construction, Soil Mechanics, Materials Science and Engineering, Road Pavement Engineering and Design, Soil Stabilization, Building Construction, Cement, HIGHWAY ROADS AND BRIDGES, Cement and Concrete Materials, and Soil Foundations
In this paper, we describe two related scripting methods of cartographic data processing and visualization that provide 2D and 3D mapping of Japan with different algorithm complexity. The first algorithm utilizes Generic Mapping Toolset... more
In this paper, we describe two related scripting methods of cartographic data processing and visualization that provide 2D and 3D mapping of Japan with different algorithm complexity. The first algorithm utilizes Generic Mapping Toolset (GMT), which is known as an advanced console-based program for spatial data processing. The modules of GMT combine the functionality of scripting with the aspects of geoinformatics, which is especially effective for the rapid analysis of large geospatial datasets, multi-format data processing, and mapping in 2D and 3D modes. The second algorithm presents the use of the R programming language for cartographic visualization and spatial analysis. This R method utilizes the packages ‘tmap’, ‘raster’, ‘maps’, and ‘mapdata’ to model the morphometric elements of the Japanese archipelago, such as slope, aspect, hillshade and elevation. The general purpose graphical package ‘ggplot2’ of R was used for mapping the prefectures of Japan. The two scripting approaches demonstrated an established correspondence between the programming languages and cartography determined with the use of scripts for data processing. They outperform several well-known and state-of-the-art GIS methods for mapping due to their high automation of data processing. Cartography has largely reflected recent advances in data science, the rapid development of scripting languages, and transfer in the approaches of data processing. This extends to the shift from the traditional GIS to programming languages. As a response to these new challenges, we demonstrated in this paper the advantages of using scripts in mapping, which consist of repeatability and the flexible applicability of scripts in similar works.
Research Interests: Geography, Cartography, Japanese Studies, Earth Sciences, Computer Science, and 15 moreProgramming Languages, Education, Image Processing, Remote Sensing, Data Analysis, Sustainable Development, Geoinformatics, Modeling and Simulation, Japan, Environmental Sustainability, Data Visualization, Data Science, Mapping, Data Structures, and Geographic Information Systems (GIS)
Leaching behaviour is an important evidence of soil quality. The assessment of leaching of heavy metals from the contaminated soil is vital for environmental applications. However, leaching may differ in soil stabilised by various ratios... more
Leaching behaviour is an important evidence of soil quality. The assessment of leaching of heavy metals from the contaminated soil is vital for environmental applications. However, leaching may differ in soil stabilised by various ratios of binders. In this study we measured leaching behaviour of soil contaminated by As, Cd, Co, Cr, Cu, Hg, Ni, Pb, V, Zn, methyl Hg, aliphatic compounds of hydrocarbons, polycyclic aromatic hydrocarbons (PAHs), polychlorinated biphenyls (PCBs) and dissolved organic carbon (DOC). To evaluate leaching of these substances we tested the effects of changed amount of binder (120 kg and 150 kg) and binder ratios (70/30 %, 50/50 % and 30/70 %) added to soil samples. Soil was dredged from several stations in Ostrand area, SCA Sundsvall Ortvikens Pappersbruk. The results demonstrated a systematically decreasing leaching with the increased slag. The contribution of this research include: (i) devising systematic approach to extract information on leaching from stabilised soil collected from the coastal area of Bothnian Bay, (ii) developing a workflow for stabilising soils by various combination of Portland cement Basement CEM II/A-V (SS EN 197-1) and ground granulated blast furnace slag (GGBFS), Bremen type (SS EN 15167-1), (iii) determining water ratio and density for the untreated and stabilised soil and performing comparative analysis, (iv) evaluating chemical content of pollutants and toxic elements in the aggregated soil samples. Treatment of the contaminated soil by binders improved its parameters by the increased strength and decreased leaching of heavy metals and toxic elements.
Research Interests: Engineering, Chemical Engineering, Civil Engineering, Earth Sciences, Environmental Science, and 15 moreSoil Science, Computer Science, Materials Science, Hydrology, Construction Management, Data Analysis, Baltic Studies, Leaching, Soil Mechanics, Modeling and Simulation, Environmental Sustainability, Sweden, Soil contamination, Heavy Metal Pollution, and Cement and Concrete Materials
The strength of soil can significantly increase by stabilisation with binders. Adding binders in correct proportions to improve soil parameters is of paramount importance for earthworks. In this article, we presented a framework to... more
The strength of soil can significantly increase by stabilisation with binders. Adding binders in correct proportions to improve soil parameters is of paramount importance for earthworks. In this article, we presented a framework to explore strength characteristics of soil stabilised by several binders and evaluated using applied geophysical methods by estimated P-wave velocities. The core of our work is a systematic assessment of the effects on clay stabilisation from various binders on shear and compressive strength. The binders were combined from four stabilising agents: (i) CEM II/A, a Portland limestone cement; (ii) burnt lime; (iii) lime kiln dust (LKD) limited up to 50%; and (iv) cement kiln dust (CKD). Shear strength has shown a nonlinear dependence as an exponential curve with P-waves. Natural frequency analysis was modelled to simulate resonant frequencies as eigen values. Variations in strength proved that CEM II/A-M (Recipe A, 100% CEM II) has the best performance for weak soil sta-bilisation followed by the combinations: Recipe B (70% CEM II/A-M, 30% LKD), Recipe C with added 80% CEM II/A-M and 20% CKD, and Recipe D (70% CEM II/A-M 30% CKD). Recipe B has shown high values with maximum uniaxial compressive strength (UCS) at 13.8 MPa. The Recipe C was less effective with the highest value of UCS as 8.8 MPa. The least strength was shown in Recipe D, where UCS has maximal values of 3.7 MPa. The specimens stabilised by Recipe B demonstrated the highest P-wave velocity at 2,350 m/s, while Recipe C and Recipe D showed the highest P-wave velocity at 1,900 and 1,550 m/s. All specimens shown a gain of UCS with sharply increased P-wave speed during the 3 days of curing. The study contributes to the development of methods of soil testing in civil engineering.
Research Interests: Engineering, Mechanical Engineering, Civil Engineering, Earth Sciences, Soil Science, and 15 moreComputer Science, Algorithms, Materials Science, Data Analysis, Sustainable Development, Soil Mechanics, Composite Materials, Sustainable Building Materials, Environmental Sustainability, Materials Science and Engineering, Soil Stabilization, Data Science, Cement, Building and Construction Materials, and Cement and Concrete Materials
Archived seismograms recorded in the 20th century present a valuable source of information for monitoring earthquake activity. However, old data, which are only available as scanned paper-based images should be digitised and converted... more
Archived seismograms recorded in the 20th century present a valuable source of information for monitoring earthquake activity. However, old data, which are only available as scanned paper-based images should be digitised and converted from raster to vector format prior to reuse for geophysical modelling. Seismograms have special characteristics and specific features recorded by a seismometer and encrypted in the images: signal trace lines, minute time gaps, timing and wave amplitudes. This information should be recognised and interpreted automatically when processing archives of seismograms containing large collections of data. The objective was to automatically digitise historical seismograms obtained from the archives of the Royal Observatory of Belgium (ROB). The images were originally recorded by the Galitzine seismometer in 1954 in Uccle seismic station, Belgium. A dataset included 145 TIFF images which required automatic approach of data processing. Software for digitising seismograms are limited and many have disadvantages. We applied the DigitSeis for machine-based vectorisation and reported here a full workflow of data processing. This included pattern recognition, classification, digitising, corrections and converting TIFFs to the digital vector format. The generated contours of signals were presented as time series and converted into digital format (mat files) which indicated information on ground motion signals contained in analog seismograms. We performed the quality control of the digitised traces in Python to evaluate the discriminating functionality of seismic signals by DigitSeis. We shown a robust approach of DigitSeis as a powerful toolset for processing analog seismic signals. The graphical visualisation of signal traces and analysis of the performed vectorisation results shown that the algorithms of data processing performed accurately and can be recommended in similar applications of seismic signal processing in future related works in geophysical research.
Research Interests: Engineering, Earth Sciences, Geophysics, Computer Science, Acoustics, and 15 moreSignal Processing, Earthquake Engineering, Data Analysis, Geoinformatics, Digital Signal Processing, Modeling and Simulation, Seismology, Exploration Seismology, Data Modeling, Data Visualization, Applied Geophysics, Earthquake Seismology, Signals and Systems, Risk Assessment, and Computer Science and Engineering
Evaluation of the representative cartographic techniques demonstrated that there are still considerable challenges facing the methods of marine geodetic, geophysical and bathymetric data visualisation. In an oceanic seafloor formation,... more
Evaluation of the representative cartographic techniques demonstrated that there are still considerable challenges facing the methods of marine geodetic, geophysical and bathymetric data visualisation. In an oceanic seafloor formation, the interaction between the geological structural elements and topographical relief can be analysed by advanced mapping. In present study, a correlation between geodesy, geophysics and topography has been examined including the following variables: geological structure, coastal topography and bathymetry, geophysical fields, free-air gravity anomalies and geoid undulation, sediment thickness, bathymetric patterns, and extension of the transform faults. The variables were visualised on the high-resolution raster grids using Generic Mapping Tools (GMT) scripting toolset. The study area is located in the Seychelles and the Somali Sea segment of the Indian Ocean. The data incorporates satellite-derived gravity grid, EGM-2008, geological structures, topography from GEBCO grid and GlobSed sediment thickness, processed by GMT scripts. The results demonstrated that western continental slope of Somalia is wide, gently declining to the seafloor at depths exceeding -5000 m. Kenya and Tanzania present a wide continental foot with depths ranging from -3500 to - 5000 m. The Somali Sea basin shows low sedimentation lower than 500 m, while ridges and island chains have higher sediment influx (1,000-2,000 m). The Mozambique Channel has dominating values at 2,500-3,500 m. Higher values are noted near the Reunion and Mauritius islands until the Seychelles via the Mascarene Plateau (500 -1,000 m) against the <500 m in the areas of the Mid-Indian Ridge, Carlsberg Ridge and open water.
Research Interests: Geography, Cartography, Earth Sciences, Geodesy, Geology, and 15 moreGeophysics, Computer Science, Programming Languages, Education, Computer Engineering, Data Analysis, Sustainable Development, Geoinformatics, Modeling and Simulation, Geodynamics, Environmental Sustainability, Data Visualization, Indian Ocean, Mapping, and Geographic Information Systems (GIS)
In this paper, an image analysis framework is formulated for Landsat-8 Operational Land Imager and Thermal Infrared Sensor (OLI/TIRS) scenes using the R programming language. The libraries of R are shown to be effective in remote sensing... more
In this paper, an image analysis framework is formulated for Landsat-8 Operational Land Imager and Thermal Infrared Sensor (OLI/TIRS) scenes using the R programming language. The libraries of R are shown to be effective in remote sensing data processing tasks, such as classification using k-means clustering and computing the Normalized Difference Vegetation Index (NDVI). The data are processed using an integration of the RStoolbox, terra, raster, rgdal and auxiliary packages of R. The proposed approach to image processing using R is designed to exploit the parameters of image bands as cues to detect land cover types and vegetation parameters corresponding to the spectral reflectance of the objects represented on the Earth’s surface. Our method is effective at processing the time series of the images taken at various periods to monitor the landscape dynamics in the middle part of the Congo River basin, Democratic Republic of the Congo (DRC). Whereas previous approaches primarily used Geographic Information System (GIS) software, we proposed to explicitly use the scripting methods for satellite image analysis by applying the extended functionality of R. The application of scripts for geospatial data is an effective and robust method compared with the traditional approaches due to its high automation and machine-based graphical processing. The algorithms of the R libraries are adjusted to spatial operations, such as projections and transformations, object topology, classification and map algebra. The data include Landsat-8 OLI-TIRS covering the three regions along the Congo river, Bumba, Basoko and Kisangani, for the years 2013, 2015 and 2022. We also validate the performance of graphical data handling for cartographic visualization using R libraries for visualising changes in land cover types by k-means clustering and calculation of the NDVI for vegetation analysis.
Research Interests: Landscape Ecology, Cartography, African Studies, Environmental Science, Computer Science, and 15 moreProgramming Languages, Computer Vision, Education, Image Processing, Remote Sensing, Sustainable Development, Image Analysis, Modeling and Simulation, Environmental Sustainability, Remote sensing and GIS, Democratic Republic of Congo, R programming language, Mapping, Land Use/ Land Cover Dynamics and LULc Modeling, and Geographic Information Systems (GIS)
This paper presents a cartographic framework based on algorithms of GMT codes for mapping seismically active areas in Venezuela. The data included raster grids from GEBCO, EGM- 2008, and vector geological layers from the USGS. The data... more
This paper presents a cartographic framework based on algorithms of GMT codes for mapping seismically active areas in Venezuela. The data included raster grids from GEBCO, EGM- 2008, and vector geological layers from the USGS. The data were iteratively processed in the console of GMT, converted by GDAL, formatted, and mapped for geophysical data visualisation; the QGIS was applied for geological mapping. We analyzed 2000 samples of the earthquake events obtained from the IRIS seismic database with a 25-year time span (1997–2021) in order to map the seismicity. The approach to linking geological, topographic, and geophysical data using GMT scripts aimed to map correlations among the geophysical phenomena, tectonic processes, geological setting, seismicity, and earthquakes. The practical application of the GMT scripts consists in automated mapping for the visualization of geological risks and hazards in the mountainous region of the Venezuelan Andes. The proposed method integrates the approach of GMT scripts with state-of-the-art GIS techniques, which demonstrated its effectiveness as a tool for mapping spatial datasets and rapid data processing in an iterative regime. In this context, using GMT and GIS to find similarities between the regional earthquake distribution and the geological and topographic setting is essential for hazard risk assessment. This study can serve as a basis for predictive seismic analysis in geologically vulnerable regions of Venezuela. In addition to a technical demonstration of GMT algorithms, this study also contributes to geological and geophysical mapping and seismic hazard assessments in South America. We present the full scripts used for mapping in a GitHub repository.
Research Interests: Geography, Cartography, Latin American Studies, Geodesy, Geology, and 15 moreGeophysics, Programming Languages, Seismic Hazard, Data Analysis, Sustainable Development, Geoinformatics, Venezuela, Seismology, Environmental Sustainability, Andes, Mapping, Gravity, Earthquake Seismology, South America, and Geographic Information Systems (GIS)
In this paper, we propose an advanced scripting approach using Python and R for satellite image processing and modelling terrain in Côte d’Ivoire, West Africa. Data include Landsat 9 OLI/TIRS C2 L1 and the SRTM digital elevation model... more
In this paper, we propose an advanced scripting approach using Python and R for satellite image processing and modelling terrain in Côte d’Ivoire, West Africa. Data include Landsat 9 OLI/TIRS C2 L1 and the SRTM digital elevation model (DEM). The EarthPy library of Python and `raster’ and `terra’ packages of R are used as tools for data processing. The methodology includes computing vegetation indices to derive information on vegetation coverage and terrain modelling. Four vegetation indices were computed and visualised using R: the Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index 2 (EVI2), Soil-Adjusted Vegetation Index (SAVI) and Atmospherically Resistant Vegetation Index 2 (ARVI2). The SAVI index is demonstrated to be more suitable and better adjusted to the vegetation analysis, which is beneficial for agricultural monitoring in Côte d’Ivoire. The terrain analysis is performed using Python and includes slope, aspect, hillshade and relief modelling with changed parameters for the sun azimuth and angle. The vegetation pattern in Côte d’Ivoire is heterogeneous, which reflects the complexity of the terrain structure. Therefore, the terrain and vegetation data modelling is aimed at the analysis of the relationship between the regional topography and environmental setting in the study area. The upscaled mapping is performed as regional environmental analysis of the Yamoussoukro surroundings and local topographic modelling of the Kossou Lake. The algorithms of the data processing include image resampling, band composition, statistical analysis and map algebra used for calculation of the vegetation indices in Côte d’Ivoire. This study demonstrates the effective application of the advanced programming algorithms in Python and R for satellite image processing.
Research Interests: Geography, Cartography, African Studies, Computer Science, Programming Languages, and 15 moreImage Processing, Remote Sensing, Data Analysis, Sustainable Development, Africa, Image Analysis, Python, Environmental Sustainability, R programming language, Digital Image Processing, Data Visualization, Programming, Mapping, Python Programming, and Geographic Information Systems (GIS)
Evaluating the structure of soil prior to building construction is valuable in a large variety of geotechnical and civil engineering applications. To built an effective framework for assessing the strength of the stabilised soil, the... more
Evaluating the structure of soil prior to building construction is valuable in a large variety of geotechnical and civil engineering applications. To built an effective framework for assessing the strength of the stabilised soil, the presented workflow includes a complex approach of simplex lattice design and X-ray diffraction for the analysis of soil structure. Different from the traditional in situ measurements, we propose a statistical framework for effective decision-making on binder combination to stabilise soil collected in three localities of Southern Sweden—Bromölla Municipality (Skåne County), Petersborg (Östergötland County) and Örebro (Örebro County). A practical solution is presented that includes the evaluation of strength properties of various types of soil using ordinary Portland cement (OPC), slaked lime and steel slag as pure agents and blended binders. The specimens were collected in Southern Sweden and included sandy silty tills and clay till (clay content 6–18%). The preprocessing included the mineralogical analysis of mineral composition and soil structure by X-ray diffraction (XRD) and a sieve. The soil samples were fabricated, compacted, rammed, stabilised by six binder blends and assessed for uniaxial compressive strength (UCS). The moisture condition value (MCV) and water content tests were done for compacted soil and showed variation in the MCV values for different binders. The study determined the effects from binder blends on the UCS gain in three types of soil, measured on days 7, 28 and 90. Positive effects were noted from the steel slag/lime blends on the UCS gain in sandy silty tills. A steel slag/slaked lime mixed binder performed better compared to the pure binders. The effectiveness of the simplex lattice design was demonstrated in a series of ternary diagrams showing soil strength evaluated by adding the stabilising agents in different proportions.
Research Interests: Engineering, Mechanical Engineering, Chemical Engineering, Civil Engineering, Soil Science, and 15 moreComputer Science, Materials Science, Education, Computer Engineering, Geotechnical Engineering, Applied Statistics, Soil Mechanics, Materials Science and Engineering, Soil Stabilization, Building Construction, Data Science, Infrastructure, Cement, Geotechnics, and Cement and Concrete Materials
In this study, the stabilization process is introduced to a clayey expansive soil collected in southern Sweden. The tests examined strength parameters of expansive soil stabilized by different binders using combination of both traditional... more
In this study, the stabilization process is introduced to a clayey expansive soil collected in southern Sweden. The tests examined strength parameters of expansive soil stabilized by different binders using combination of both traditional binders (cement and lime) and alternative materials (slag Merit 5000, fly ash from SCA Lilla Edet and fly ash from coal combustion, ISO certified). The practical goal was to find a binder mixture that is optimized for soil stabilization with respect to technical properties of stabilizing agent as an inert ballast material. The strength of soil stabilized by various binders was examined by velocity of the P-waves propagating through specimens. The results show that introducing slag Merit 5000 as an admixture to cement and lime is an effective approach in enhancing strength properties in weak soil, which increases bearing capacity of soil for planned construction works. The results also shown that a mixture of lime and bio ash yields a better effect in the stabilization of a clay. Soil stabilized with cement, cement/slag and lime/slag becomes resistant to freeze-thaw cycles, which is crucial for construction of roads and building foundations.
Research Interests: Engineering, Civil Engineering, Soil Science, Materials Science, Construction Technology, and 15 moreConstruction Management, Data Analysis, Industrial Engineering, Materials Science and Engineering, Construction Engineering and Management, Soil Stabilization, Building Construction, Compressive Strength, Cement, Construction Health and Safety, Seismic Analysis, Soil Compaction, Cement Industry, HIGHWAY ROADS AND BRIDGES, and Cement and Concrete Materials
This paper addresses the problem of stabilisation of poor subgrade soil for improving its engineering properties and stiffness. The study aim is to evaluate the effects from single and mixed binders on the gain of strength in sandy soil... more
This paper addresses the problem of stabilisation of poor subgrade soil for improving its engineering properties and stiffness. The study aim is to evaluate the effects from single and mixed binders on the gain of strength in sandy soil over the period of curing. We propose an effective non-destructive approach of using P-waves for identifying soil strength upon stabilisation. The growth of strength and stiffness is strongly dependent on time of curing and type of the stabilising agents which can include both single binders and their blended mixtures. The diverse effects from mixed binders on the properties of soil were evaluated, compared and analysed. We performed the experimental trials of five different binders for stabilisation of sandy soil using cement, lime, Ground Granulated Blast Furnace Slag (GGBFS), energy fly ash and bio fly ash. The methodology included soil stabilisation by binders during a total period of 90 days, strength test for the Unconfined Compressive Strength (UCS) and seismic tests on the stabilised samples. The dynamics of soil behaviour stabilised by different binders for days 7, 14, 28 and 90 was statistically analysed and compared. The optimisation of binder blending has been performed using mixture simplex lattice design with three binders in each case as independent variables. Using P-waves naturally exploited strength characteristics of soil samples and allowed us to compare the effects from the individual and blended binders over the complete period of curing with dominating mixes. The results indicate that strength growth in stabilised soil samples is nonlinear in both time and content of binders with dominating effects from slag which contributed the most to the compressive strength development, followed by cement.
Research Interests: Engineering, Materials Engineering, Mechanical Engineering, Civil Engineering, Transportation Engineering, and 15 moreSoil Science, Computer Science, Materials Science, Structural Engineering, Composite Materials and Structures, Applied Statistics, Composite Materials, Industrial Engineering, Materials Science and Engineering, Soil Stabilization, Building Construction, Cement, Road Construction, Seismic resistant design of structures, and Cement and Concrete Materials
This study demonstrated the use of GRASS GIS scripts for satellite image analysis. The aim is to perform topographic and environmental analysis in eastern China, Shandong Province, Qingdao region. Variables include land surface... more
This study demonstrated the use of GRASS GIS scripts for satellite image analysis. The aim is to perform topographic and environmental analysis in eastern China, Shandong Province, Qingdao region. Variables include land surface temperature evaluated by correlation between the Landsat ETM+ channels and colour composites. The methodology is based on scripting by GRASS GIS modules. Data include two satellite Landsat TM images with a 5 years span (2009 and 2004). The images were imported to GRASS GIS using GDAL library by 'r.in.gdal' module. The topography (DEM) was assessed by GRASS GIS 'd.rast' module with isolines plotted using 'r.contour' and 'd.vect'. The map elements were displayed by 'v.in.region', 'd.vect', 'v.info'. The slope and aspect maps based on DEM were plotted using module 'r.slope.aspect' and visualised by a consecutive combination of 'd.rast', 'r.colours', 'd.legend', 'd.text' and 'd.grid' modules. The scatterplot of pairwise correlation of the selected Landsat TM7 channels (10 and 20, 50 and 70) was done by 'd.correlate'. The applied code from the 'r.mapcalc' was used for image calibration from the DN to apparent radiance at sensor. Two maps showing land surface temperature for 2009 and 2004 were plotted by 'r.mapcalc'. The land surface temperature maps show lower values over the water and forests, while higher values in cities. Plotting land surface temperature map was made to analyse variations in climate settings in Shandong during 5 years based on the comparative analysis using 'r.mapcalc' module. The images were plotted by natural and false colour band composites using 'd.rgb' module and band combinations: 1) colour infrared with focus on vegetation (5-4-3); 2) natural colour composites (1-2-3); 3) contrasting slopes for topography (4-5-7); 4) vegetation analysis (2-3-4); 5) focus on land/water borders (5-6-7). The study has shown cartographic functionality of GRASS GIS scripts specifically for remote sensing data processing and topographic analysis. The environmental modelling has shown variations in land surface temperature, slope steepness and orientation (aspect). The GRASS GIS demonstrated to be an effective tool for remote sensing. Full codes are available on the GitHub repository of the author with provided link to scripts.
Research Interests: Geography, Cartography, Earth Sciences, Computer Science, Programming Languages, and 15 moreEducation, Image Processing, Remote Sensing, Machine Learning, Data Analysis, Sustainable Development, Geoinformatics, China, Environmental Sustainability, Digital Image Processing, Programming, Mapping, Satellite Imagery, Landsat-7 ETM +, and Geographic Information Systems (GIS)
The study investigates the effect of Portland cement and ground granulated blast furnace slag (GGBFS) added in changed proportions as stabilising agents on soil parameters: uniaxial compressive strength (UCS), Proctor compactness and... more
The study investigates the effect of Portland cement and ground granulated blast furnace slag (GGBFS) added in changed proportions as stabilising agents on soil parameters: uniaxial compressive strength (UCS), Proctor compactness and permeability. The material included dredged clayey silts collected from the coasts of Timrå, Östrand. Soil samples were treated by different ratio of the stabilising agents and water and tested for properties. Study aimed at estimating variations of permeability, UCS and compaction of soil by changed ratio of binders. Permeability tests were performed on soil with varied stabilising agents in ratio (high water / low binder) with ratio 70/30%, 50/50%, and 30/70%. The highest level of permeability was achieved by ratio 70/30% of cement/slag, while the lowest-by 30/70%. Proctor compaction was assessed on a mixture of ash and green liquor sludge, to determine optimal moisture content for the most dense soil. The maximal dry density at 1.12 g/cm 3 was obtained by 38.75 % of water in a binder. Shear strength and P-wave velocity were measured using ISO/TS17892-7 and visualised as a function of UCS. The results showed varying permeability and UCS of soil stabilised by changed ratio of CEM II/GGBS.
Research Interests: Engineering, Materials Engineering, Mechanical Engineering, Civil Engineering, Soil Science, and 15 moreMaterials Science, Structural Engineering, Composite Materials and Structures, Geotechnical Engineering, Composite Materials, Industrial Engineering, Soil Stabilization, Compressive Strength, Cement, Geotechnics, Geotechnical Enginnering, Concrete structures, Stabilization and Reconstruction, Cement and Concrete Materials, and Ground Granulated Blast furnace Slag (GGBFS)
In the present research, a scripting cartographic technique for the environmental mapping of Ethiopia using climate and topographic datasets is developed. The strength of the Generic Mapping Tools (GMT) is employed for the effective... more
In the present research, a scripting cartographic technique for the environmental mapping of Ethiopia using climate and topographic datasets is developed. The strength of the Generic Mapping Tools (GMT) is employed for the effective visualisation of the seven maps using high-resolution data: GEBCO, TerraClimate, WorldClim, CRUTS 4.0 in 2018 by considering the solutions of map design. The role of topographic characteristics for climate variables (evapotranspiration, downward surface shortwave radiation, vapour pressure, vapour pressure deficit and climatic water deficit) is explained. Topographic variability of Ethiopia is illustrated for geographically dispersed and contrasting environmental setting in its various regions: Afar, Danakil Depression, Ethiopian Highlands, Great Rift Valley, lowlands and Ogaden Desert. The relationships between the environmental and topographic variables are investigated with aid of literature review and the outcomes are discussed. The maps are demonstrated graphically to highlight variables enabling to find correlations between the geographic phenomena, their distribution and intensity. The presented maps honor the environmental and topographic data sets within the resolution of the data. Integration of these results in the interpretation maps presented here brings new insights into both the variations of selected climate variables, and the topography of Ethiopia.
Research Interests: Cartography, Environmental Science, Computer Science, Programming Languages, Education, and 15 moreClimate Change, Data Analysis, Water quality, Sustainable Development, Africa, Agriculture, Modeling and Simulation, Sustainable Water Resources Management, Environmental Sustainability, Ethiopia, Programming, Topography, Natural Resources Management, Food and Beverage, and Geographic Information Systems (GIS)
This paper presents a case of the script-based cartographic data processing by the Generic Mapping Tools (GMT) and R language for geophysical mapping. The study area is located in Rwanda, Africa, which is notable for complex geological... more
This paper presents a case of the script-based cartographic data processing by the Generic Mapping Tools (GMT) and R language for geophysical mapping. The study area is located in Rwanda, Africa, which is notable for complex geological setting due to its specific location within the East African Rift. The active continental zone of the East African Rift extending in western Rwanda has importance on seismicity of the country. It affects gravity anomaly and influences the distribution and shape of the geomorphological landforms, as reflected in the topography of Rwanda. The aim of this study is to apply the cartographic command-line techniques for mapping. The geophysical goal is to highlight the correlations between the distribution , depth and magnitudes of earthquakes, topography and geophysics. Visualizing the geophysical anomalies and topography for the morphometric setting of Rwanda's terrain supports geological monitoring. The data include the General Bathymetric Chart of the Oceans (GEBCO), Earth Gravitational Model of 2008 (EGM2008), satellite derived gravity and the Shuttle Radar Topography Mission (SRTM). Nine new thematic maps on Rwanda are presented and evaluated to demonstrate the influence of the East African Ridge on regional distribution of the earthquakes and volcanos in Rwanda. The maps demonstrated accurate and effective mapping achieved due to the functionality of R and GMT scripts. A regional analysis shows that the distribution of the earthquakes and volcanoes is the highest in the western part of Rwanda and the lowest in the east proving the correlation of the active seismicity with the tectonic setting and geology of the country. The console-based scripts of R and GMT are presented with provided link to the author's GitHub repository with a full access to the codes.
Research Interests: Engineering, Geography, Cartography, Environmental Science, Geodesy, and 15 moreGeomorphology, Geophysics, Computer Science, Programming Languages, Education, Earthquake Engineering, Seismology, Geodynamics, Environmental Sustainability, Remote sensing and GIS, Programming, Mapping, Gravity, Geographic Information Systems (GIS), and Computer Science and Engineering
This paper presents a GMT scripting technique for mapping seismic moment tensor solutions. The underlying geophysical properties and settings of the Philippine Sea Plate (PSP) situated on the margins of the Pacific Ocean are analysed.... more
This paper presents a GMT scripting technique for mapping seismic moment tensor solutions. The underlying geophysical properties and settings of the Philippine Sea Plate (PSP) situated on the margins of the Pacific Ocean are analysed. Active volcanism and high seismicity of this region located along the margins of the Philippine Sea Basin (PSB) results in a series of earthquake events caused by geodynamic processes of tectonic plate subduction. The proposed console-based framework of cartographic workflow is designed to perform mapping of the earthquake events using Generic Mapping Tools (GMT) modules, to analyse seismic setting through visualisation of the geophysical dataset. The materials include General Bathymetric Chart of the Oceans (GEBCO), Centroid Moment Tensor (CMT) and International Seismological Centre (ISC) seismic data. Technically, the algorithm of mapping by GMT consists in a consecutive use of modules used in a script run from a command line: 'psmeca', 'psvelo', 'img2grd', 'grdtrack', 'grdimage'. The GMT functionality is illustrated by the key snippets of code. The path to the full codes is provided with a link to the author's GitHub repository for technical repeatability. Furthermore, the algorithm of GMT enabled to visualise CMT solutions for shallow depth earthquakes of M w < 10 along the PSB margins from 1976 to 2010. Thus, the paper also demonstrated and presented the performance of the GMT on a geophysical dataset that features complete earthquakes data along the zone of tectonic plate subduction from the Global CMT Project. In both technical and geophysical cases, this approach of GMT-based mapping presents cartographic workflow better than state-of-the-art traditional GIS programs through increased automation of the cartographic workflow. The study contributed to the development of methods of geophysical and seismic mapping using GMT scripting toolset by visualising focal mechanisms and seismic moment tensor solutions.
Research Interests: Geography, Earth Sciences, Geophysics, Oceanography, Computer Science, and 15 morePhysics, Education, Sustainable Development, Open Source Software, Risk Management, Seismology, Marine Engineering, Physical Oceanography, Open Source GIS, Environmental Sustainability, Data mining (Data Analysis), Data Visualization, Programming, Seismic analysis and design, and Geographic Information Systems (GIS)
This articles presents a new series of maps showing the climate and environmental variability of Botswana. Situated in southern Africa, Botswana has an arid to semi-arid climate, which significantly varies in its different regions:... more
This articles presents a new series of maps showing the climate and environmental variability of Botswana. Situated in southern Africa, Botswana has an arid to semi-arid climate, which significantly varies in its different regions: Kalahari Desert, Makgadikgadi Pan and Okavango Delta. While desert regions are prone to droughts and periods of extreme heat during the summer months, other regions experience heavy downpours, as well as episodic and unpredictable rains that affect agricultural activities. Such climatic variations affect social and economic aspects of life in Botswana. This study aimed to visualise the non-linear correlations between the topography and climate setting at the country’s scale. Variables included T °C min, T °C max, precipitation, soil moisture, evapotranspiration (PET and AET), downward surface shortwave radiation, vapour pressure and vapour pressure deficit (VPD), wind speed and Palmer Drought Severity Index (PDSI). The dataset was taken from the TerraClimate source and GEBCO for topographic mapping. The mapping approach included the use of Generic Mapping Tools (GMT), a console-based scripting toolset, which enables the use of a scripting method of automated mapping. Several GMT modules were used to derive a set of climate parameters for Botswana. The data were supplemented with the adjusted cartographic elements and inspected by the Geospatial Data Abstraction Library (GDAL). The PDSI in Botswana in 2018 shows stepwise variation with seven areas of drought: (1) −3.7 to −2.2. (extreme); (2) −2.2 to −0.8 (strong, southern Kalahari); (3) −0.8 to 0.7 (significant, central Kalahari; (4) 0.7 to 2.1 (moderate); (5) 2.1 to 3.5 (lesser); (6) 3.5 to 4.9 (low); (7) 4.9 to 6.4 (least). The VPD has a general trend towards the south-western region (Kalahari Desert, up to 3.3), while it is lower in the north-eastern region of Botswana (up to 1.4). Other values vary respectively, as demonstrated in the presented 12 maps of climate and environmental inventory in Botswana.
Research Interests: Environmental Engineering, Geography, Cartography, Environmental Science, Computer Science, and 15 moreEducation, Climate Change, Sustainable Development, Africa, Geoinformatics, Image Analysis, Environmental Sustainability, Remote sensing and GIS, Geoinformation, Sub-Saharan Africa, Data Visualization, Computer Programming, Programming, Mapping, and Script
Integrated geophysical mapping benefits from visualizing multi-source datasets including gravity and satellite altimetry data using 2D and 3D techniques. Applying scripting cartographic approach by R language and GMT supported by... more
Integrated geophysical mapping benefits from visualizing multi-source datasets including gravity and satellite altimetry data using 2D and 3D techniques. Applying scripting cartographic approach by R language and GMT supported by traditional mapping in QGIS is presented in this paper with a case study of Iranian geomorphology and a special focus on Zagros Fold-and-Thrust Belt, a unique landform of the country affected by complex geodynamic structure. Several modules of GMT and 'tmap' and 'raster' packages of R language were shown to illustrate the efficiency of the console-based mapping by scripts. Data sources included high-resolution raster grids of GEBCO/SRTM, EGM-2008, SRTM DEM and vector geologic layers of USGS. The cartographic objective was to visualize thematic maps of Iran: topography, geology, satellite-derived gravity anomalies, geoid undulations and geomorphology. Various cartographic techniques were applied to plot the geophysical and topographic field gradients and categorical variations in geological structures and relief along the Zagros Fold-and-Thrust Belt. The structures of Elburz, Zagros, Kopet Dag and Makran slopes, Dasht-e Kavir, Dasht-e Lut and Great Salt Desert were visualized using 3D-and 2D techniques. The geomorphometric properties (slope, aspect, hillshade, elevations) were modelled by R. The study presented a series of 11 new maps made using a combination of scripting techniques and GIS for comparative geological-geophysical analysis. Listings of R and GMT scripting are provided for repeatability.
Research Interests: Geography, Cartography, Geodesy, Geomorphology, Geophysics, and 15 moreComputer Science, Algorithms, Education, Remote Sensing, Data Analysis, Iranian Studies, Geoinformatics, Quaternary Geology, Environmental Sustainability, Remote sensing and GIS, Data Visualization, Computer Programming, Programming, Mapping, and Geographic Information Systems (GIS)
Before digital recordings became available in the 1970s, the ground motion was recorded using ink on white paper, scratching black-smoked paper, or light on photographic paper. While those analog seismic records offer unique continuous... more
Before digital recordings became available in the 1970s, the ground motion was recorded using ink on white paper, scratching black-smoked paper, or light on photographic paper. While those analog seismic records offer unique continuous observations from the last century, most of them are now stacked and archived in boxes and potentially exposed to physical decay and permanent loss. To preserve those records and ultimately subject them to modern methods of analysis, it is time-sensitive to scan and digitize them. Here, we worked on a method for automatic digitization of paper seismograms using image processing and machine learning to extract microseismic ground-motion periods and amplitudes. We implemented the method on legacy data recorded at the Royal Observatory of Belgium to extract power spectral densities for major storms during the last century, which are compared with modeled microseisms levels computed using a numerical ocean wave model. This further shows how digitizing analog seismograms does not only preserve the scientific legacy but also makes new research possible by bringing analog data to the digital age.
Research Interests: Engineering, Earth Sciences, Geophysics, Computer Science, Image Processing, and 15 moreClimate Change, Machine Learning, Sustainable Development, Digitization, Seismology, Physical Oceanography, Python, Environmental Sustainability, Earth and Environmental Sciences, Programming, Wave Numerical Simulation, Seismic analysis and design, Wave propagation, Machine Learning Big Data, and Computer Science and Engineering
Geoecological Mapping of the Barents Sea Using GIS
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The study focuses on the statistical analysis of the impact factors affecting Mariana Trench formation. Methodology of the work is based on plotting correlation matrices by means of R programming to visualize determinants affecting... more
The study focuses on the statistical analysis of the impact factors affecting Mariana Trench formation. Methodology of the work is based on plotting correlation matrices by means of R programming to visualize determinants affecting geomorphic formation of the trench. The study revealed distinct unevenness of various factors affecting Mariana Trench geomorphic structure. The bathymetric determinant of the four distinct groups of the cross section profiles cause certain variability in the sedimental thickness of the basement, slope angle steepness degree, angle aspect, depth at the basement, as well as depth values (means, median and absolute minimum). Among other factors, a magmatism of the nearby area is to be mention. The closeness of the igneous volcanic areas contribute towards earthquake frequency across four tectonic plates – Mariana, Pacific, Philippine Sea and Caroline. The results demonstrated that cross-section profiles of the Mariana Trench can be divided into clusters according to their properties, such as bathymetric (depth values), geographic (latitude and longitude), geological (width of the sedimental thickness layer), magmatism (large igneous polygon areas) and tectonic (location of the tectonic plates nearby). In the scope of current research a functionality of R programming language has been tested. It proved to be as an effective tool for studying distribution of the environmental factors affecting the tectonic structure, as well as geomorphic properties at the seafloor basement of the Mariana Trench.
Research Interests: Geology, Geomorphology, Oceanography, Algorithms, Programming Languages, and 14 moreStatistical Computing, Marine Geology, Statistical Analysis, Statistical Modeling, Statistical machine learning, Physical Oceanography, R programming language, Computer Programming, Programming, Statistical Techniques in Spatial Analysis, Mariana Islands history, Pacific ocean, GIS x Geographic Information Systems x Physical Geography x Geography x Ocean Mapping x Ocean science x Ocean and coastal science x Ocean Governance and Planning x Coastal Zone Management x Coastal Geography x Pacific Island Studies x, and Oceanology
The geographic focus of the current study Mariana trench, the deepest point of the Earth located in the west Pacific Ocean. Mariana trench has unique structure and features formed in the complex process of the trench development. There is... more
The geographic focus of the current study Mariana trench, the deepest point of the Earth located in the west Pacific Ocean. Mariana trench has unique structure and features formed in the complex process of the trench development. There is a range of the environmental factors affecting trench structure and functioning: bathymetry, geography, geology and tectonics. Current research aimed to study interconnections among these determinants. Technically, the research was performed by R programming language, statistical analysis, and QuantumGIS. Methodology includes a range of the statistical methods for data processing, the most important of which is cluster analysis. The results revealed unevenness of the factors affecting trench bathymetric structure, caused by the environmental conditions.
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Целью исследования является картографирование заболоченных областей п-ова Ямал на основе применения разновременных спутниковых снимков Landsat TM и программного обеспечения (ПО) ILWIS GIS. Задача исследования — визуализировать... more
Целью исследования является картографирование заболоченных областей п-ова Ямал на основе применения разновременных спутниковых снимков Landsat TM и программного обеспечения (ПО) ILWIS GIS. Задача исследования — визуализировать экологическую динамику изменения избранных ландшафтов на Крайнем Севере России методами ГИС. Полуостров Ямал является важным биогеографическим регионом Арктики, расположенным в пределах субарктической континентальной климатической зоны пересекая два основных физико-географических региона: субарктическая и арктическая тундры. Геоморфологическая особенность Ямала — практически плоская равнинная поверхность — создает прекрасные условия для формирования здесь густой сети взаимосообщающихся небольших озер и неглубоких рек, а также заболоченной местности, районов с топями и местностей с повышено влажной почвой, которые подвергаются регулярному ежегодному сезонному затапливанию, характерному в весенне время. Одним из последствий такого геоморфологического строения являются криогенные оползни, образующиеся в результате развития эрозионных процессов в результате проседания почв и оттаивания грунтов [1]. Негативный эффект криогенных оползней состоит в изменении типов земной поверхности и смены растительного покрова на месте их образования: так, в течение 10 лет после активных криогенных оползневых процессов очаг возникновения оползня остается непокрытым [2]. Затем, в течение нескольких следующих лет наблюдается процесс Рис. 1. Классификация фрагмента спутникового снимка (Landsat TM), 1988
Research Interests: Geography, Remote Sensing, Geoinformatics, Remote sensing and GIS applications in Landscape Research, Geo-spatial analysis with GIS and GPS, and 6 moreRemote sensing and GIS, Satellite Remote Sensing & Image Processing, Remote Sensing and GIS applications in Forestry, Land Use/ Land Cover Dynamics and LULc Modeling, Landcover Mapping, and Geographic Information Systems (GIS)
The existing code-based program implemented in GitHub portal provides a great tool for scientists and students for data sharing and notification of the co-workers, tutors and supervisors involved in research about actual updates. It... more
The existing code-based program implemented in GitHub portal provides a great tool for scientists and students for data sharing and notification of the co-workers, tutors and supervisors involved in research about actual updates. It enables to connect collaborators to share around current results, release datasets and updates and many more. Using standard command-line interface GitHub allows registered users to push repositories on the site. The availability of both public and private repositories enables to share current data updates with target audience: e.g., unpublished research work only for co-authors or supervisors, or, vice versa, successfully defended thesis is open for public. However, despite the evident usefulness and perspectives of GitHub, the existing users of GitHub mostly include the programmer communities and IT specialists. Therefore, there is a need in academic centers and universities to strongly popularize and increase the use of GitHub for student works. The case study is given on the graduate study: an MSc work successfully written and maintained using open source GitHub service at the University of Twente, Faculty of Geo-Information Science and Earth Observation (Netherlands) entitled " Seagrass monitoring and mapping along the coasts of Greece, Crete ". Current presentation reports my own experience of management and organization of MSc thesis project. In spite of traditional and highly ineffective tool of MS Word, I used the effective combination of LaTeX tools with GitHub for data Fig.1. Fragment of the text written using LaTeX and processed by Git.
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Introduction: current environmental issues in Izmir region A third large metropolis of Turkey, Izmir is an industrial city of high importance for the country. It is a key seaport harbor, strategic for the country and the Mediterranean... more
Introduction: current environmental issues in Izmir region A third large metropolis of Turkey, Izmir is an industrial city of high importance for the country. It is a key seaport harbor, strategic for the country and the Mediterranean region in general, highly important for the transportation network within the Aegean, Marmara and the Mediterranean Seas. Izmir is also known as an important country's business and fair trade center, where cross-cultural meetings, Expo exhibitions, international conferences, symposia and workshops being periodically organized. Therefore, the region has intensive anthropogenic activities: well developed transport network, intensive shipping and maritime construction, industrial factories and plants, urban densely populated districts, intensive agricultural cultivation. These factors taken together lead to strong anthropogenic pressure on the environment of Izmir. Overall, comparing to other Turkish regions (for example, central plateau regions, North Sea coasts, or eastern part of the country), western Turkey has more anthropogenic pressure on the environment due to the intensive industrial development on the region. Naturally, this includes various sources of contamination. Many research papers investigated currently the environmental conditions in Izmir surroundings, reporting various aspects of ecological sustainability in the region in the past decades up to now. The analysis of the most important relevant findings was performed, in order to illustrate current environmental problems within the Izmir region. 1. Terrestrial ecosystems. Nowadays, the most important problem in the Mediterranean basin, and in Aegean Sea area as its part, consists in land degradation. Thus, changes in climate conditions together with human impacts cause degradation of the semi-natural vegetation, which in turn, leads to the intensification of soil degradation, and finally causes erosion hazardous processes. As in other regions of the Mediterranean, these processes lead to changes in local landscapes in the Aegean eastern area (Izmir surroundings). The environmental changes in land cover types can largely affect vegetation coverage, especially in the coastal zones with sensible ecosystems. The most important trigger factor for soil degradation is accelerated water erosion. Intensified by the destruction of the vegetation land cover and types, it increases desertification in the Mediterranean basin. Both soil and vegetation degradation are deeply interrelated, because the degree of soil degradation reflects the state of the vegetation that covers it: bare soils are being destroyed more quickly and intensively than the ones covered by forests or shrubs. Study of effects of changed land cover types on soil structure proved that extensive agricultural activities cause serious degradation and destruction of soils in highland Turkey. It demonstrates that the quality and structure of soils gradually deteriorate along with conversion of natural land types (e.g. forests, pastures) into cultivated agricultural lands. Namely, soil size particles, soil organic matter, hydraulic conductivity and other characteristics change. This demonstrates deep interrelated effects of various elements of ecosystems on the overall functioning and structure and illustrate negative effects of land use change on the natural ecosystems. Other negative changes in ecosystems include ongoing processes of changes in soil
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The study region is located in western Turkey, Izmir surroundings. The research examines spatiotemporal changes in landscapes of Izmir reg ion, during the decade 1995-2005. Methods entail raster processing, spatial analysis and mapping by... more
The study region is located in western Turkey, Izmir surroundings. The research examines spatiotemporal changes in landscapes of Izmir reg ion, during the decade 1995-2005. Methods entail raster processing, spatial analysis and mapping by means of geospatial techniques and Erdas Imagine software. The Landsat TM images were geo-processed for detection of changes in the land cover types. It demonstrated effective use of the remote sensing data and spatial analysis for vegetation studies: a combination of digital satellite images, GIS cartographic tools and methods of spatial analysis of vegetation coverage are highly suitable and efficient for the monitoring of highly heterogeneous landscapes located in the area of intensive anthropogenic activities (western Turkey). The study contributes towards technical development of cartographic methods of the environmental mon itoring.
Research Interests: Geography, Mediterranean Studies, Turkey, Remote sensing and GIS applications in Landscape Research, Geo-spatial analysis with GIS and GPS, and 7 moreRemote sensing and GIS, Land use/ land cover change studies, Coastal Landscapes, Remote Sensing and GIS applications in Forestry, Land Use/ Land Cover Dynamics and LULc Modeling, Geographic Information Systems (GIS), and Land-use/ Land-cover Change
The study area is Sitno Nature 2000 Site. The " Natura 2000 " framework focuses on conservation of valuable landscapes and nature, aims at the sustainable conservation of Europe's biodiversity and species richness across Europe... more
The study area is Sitno Nature 2000 Site. The " Natura 2000 " framework focuses on conservation of valuable landscapes and nature, aims at the sustainable conservation of Europe's biodiversity and species richness across Europe (Jones-Walters, 2007). The development of a Natura 2000 ecological network is important policy initiative in support of protected sites. Sitno Natura 2000 study area is located in central Slovakia (Fig.1). It has been selected for the richness of its natural environment and anthropogenic impacts. For the last 30 years the areas has been used for the tourism and transmitting of digital and analogue data by army and commercial sphere. Therefore, there was built and developed technical infrastructure. The highest place of the study area called Sitno peak (1009 m), which is very popular and attractive tourism (walking and climbing). Presently, the area is under high priority nature and landscape protection. The area is needed to be zoned separately for human usage and for conservation. Ecological significance of landscape should be the zonation tool in terms of the framework Nature 2000. It is an objective approach to determine ecological values owners, local communities and state organizations. Fig. 1. Study area: Sitno Park within Slovakia. The area of Sitno was protected in 1951, in order to conserve significant natural landmarks of Štiavnica Mountain. The study area has very few affected or disturbed natural environment, which provides suitable living conditions for some types of rare species of nature. The study area is protected under national (Slovak) and European conservancy system. The study area is almost 260 meters elevation (750 to 1009 m), and falls to four forests vegetation zones. The most widespread vegetation zones in that area are oak-beech and oak forest type nitrophilous beech. Forest age ranges from 60 to 160 years. Southern part of the study area is represented by natural forests. Its varied species composition of the forest is a unique ecosystem across the Carpathians. Economic activity is strictly limited in this area due to the degree of high protection. In the past, beech wood from the surrounding forests were used for production of wooden charcoal (Cvachová, 1991). According to Farbiak (1991) extensive forest complexes are refuge for many species of animals. In invertebrates, there are a considerable number of species represented by molluscs, butterflies and beetles. The study area is a large presence of roe deer and red deer. Also here occur thermophilic species and mountain species. All these facts make study area of Sitno, Slovakia ecologically significant. The tourism has impact on the landscapes by changes in land cover types, which is detected within the study.
Research Interests: Landscape Ecology, Geography, Remote Sensing, Conservation Biology, Ecology, and 10 moreRemote sensing and GIS applications in Landscape Research, Landscape, Remote sensing and GIS, Landscape metrics, Land use/ land cover change studies, Land use and land cover change modeling, Landscape and Land-use-history, Land Use/ Land Cover Dynamics and LULc Modeling, Geographic Information Systems (GIS), and Land-use/ Land-cover Change
The study focuses on the semi-automatic detection of the vegetation on the satellite panchromatic image covering area of Brussels, Belgium. Using functions of the Normalized Difference Vegetation Index (NDVI) and spectral reflectane... more
The study focuses on the semi-automatic detection of the vegetation on the satellite panchromatic image covering area of Brussels, Belgium. Using functions of the Normalized Difference Vegetation Index (NDVI) and spectral reflectane parameters of the image, the vegetation was identified on the satellite scene. The research question was to assess, how NDVI measurements can be used for urban studies using remote sensing data. The aim is to distinguish and separate on the map built-up areas from the green spaces (parks, gardens, etc) within the urban landscape. The research is supported by the raster imageand the eCognition software for image analysis. The results show detected vegetation areas in eastern part of Brussels. The research demonstrated methodological applicability of eCognition software for GIS-based urban mapping and ecological assessment (areas and sizes of vegetation coverage).
Research Interests: Image Processing, Remote Sensing, Sustainable Urban Environments, Urban Studies, Remote Sensing (Earth Sciences), and 8 moreEnvironmental Remote Sensing, Remote sensing and GIS applications in Landscape Research, Geo-spatial analysis with GIS and GPS, Remote sensing and GIS, OBIA, Remote Sensing and GIS applications in Forestry, OBIA (Object Based Image Analysis), and Geographic Information Systems (GIS)
The research examines aspects of natural and cultural heritage and environmental management in Tian Shan region, Central Asia. This region is outstanding for the richness of natural resources, landscapes and ecosystems. Natural resources... more
The research examines aspects of natural and cultural heritage and environmental management in Tian Shan region, Central Asia. This region is outstanding for the richness of natural resources, landscapes and ecosystems. Natural resources of Tian Shan are exceptional: the ecosystems include numerous protected and rare species, endemics, unique coniferous forests, rich biodiversity. However, nowadays the ecosystems experience environmental and anthropogenic impacts. After the disintegration of the Soviet Union (1990s), there is a clear shift of the Central Asian society back to the subsistence agriculture with recovered traditional style of life: private land use and cattle grazing on mountain pastures. Therefore, the anthropogenic impacts are presented by the livestock husbandry and nomadic pastures, since the majority of the local population now maintain traditional style of life. The livestock is increased, and strong grazing pressure become transform to overgrazing. This leads to unsustainable agriculture and overgrazing caused by cattle herds, and affects sustainability in mountainous landscapes. Given the unique ecology of the region, special measures should be taken to maintain ecosystems’ sustainability. The sustainable management of natural resources in this unique region needs stimulating balanced co-existence of man and nature, and requires quality insights and acquaintanceship. Nevertheless, the information about Tian Shan environment is the least available comparing to other Eurasian mountains, and there is lack of regular environmental monitoring programmes cooperated at the cross-country level. This research contributes to regional monitoring of Tian Shan, providing analysis of its environmental situation and examining ways for the sustainable use of natural resources.
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The emphasis of this research is application of spatial analysis using clustering algorithm, and remote sensing data (Landsat TM imagery) for agricultural mapping of land cover types. The study area covers Mecsek Hills region, located in... more
The emphasis of this research is application of spatial analysis using clustering algorithm, and remote sensing data (Landsat TM imagery) for agricultural mapping of land cover types. The study area covers Mecsek Hills region, located in southwestern Hungary. This region is characterized by high land heterogeneity and complex landscape structure, caused by intense agricultural land use in the region with mixed vegetation type and high environmental value. The research data consists in Landsat TM scenes taken for years for years 1992, 1999 and 2006. The methodology is based on cluster classification algorithm available in ILWIS GIS. Based on clustering technique, the agricultural land cover classes were identified by association of pixels on the Landsat TM scenes to thematic clusters. Different land use types were classified, which include natural vegetation coverage, anthropogenic areas and agricultural fields, subdivided to various crop types. Once classification was complete, agricultural thematic maps have been created. The final research output consists in three independent agricultural thematic maps of land cover types for years 1992, 1999 and 2006. 2. Introduction Combination of the satellite images with GIS techniques is a key method for land patterns identification and classification of agricultural land cover types on the land surface. In this paper an ILWIS GIS approach to perform remote sensing based land cover analysis and mapping is presented. The purpose of the current work is application of the ILWIS GIS method of clustering, which assigns pixels with similar value of Digital Numbers (DNs) to clusters, or thematic classes. The main objective is to perform spatial analysis on distribution of land cover patterns in study area. The research data consist in Landsat TM scenes visualizing agricultural areas in Mecsek Hills region in 1992, 1999 and 2006 years. The choice of the Landsat TM data is explained by their well-known advantages of application in land cover mapping and agricultural cartography, free availability, and suitability for spatial analysis according to temporal and spatial parameters (30m mesh size). 3. Methods The research methodology is based on the spatial analysis tools of the open source ILWIS GIS software aimed at classification of Landsat TM scenes. Current work is organized in several research steps summarized in the research workflow (Fig.1). Methods of data processing include import and pre-processing of the images, enhancement, classification, spatial analysis and interpretation. The research aim is creation of land cover maps, performed by classifying research area into a set of land cover categories, and assigning a land use type label to each of these units. Figure 1 Research flow algorithm. The core method used in the current work for the interpretation of imagery is clustering algorithm, which is based on a ground principle of distinguishability of the spectral signatures of the pixels on the raster image. The clustering was chosen, because it is objective technique, enabling to avoid subjectivity and misclassified pixels, and to ignore external factors while classifying, e.g. atmospheric conditions, solar illumination, etc. This method is based on the remote sensing general principle that
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Current research focuses on application of remote sensing data and GIS methods for land cover change detection in Bovanenkovo region. Technically, the data processing was performed in ILWIS GIS, using methods of image interpretation and... more
Current research focuses on application of remote sensing data and GIS methods for land cover change detection in Bovanenkovo region. Technically, the data processing was performed in ILWIS GIS, using methods of image interpretation and supervised classification applied for Landsat TM scenes (1988 and 2011). The classification results indicate changes in land cover types in Yamal ecosystems, namely, the overall increase in woody plants, such as willows and shrub tundra (e.g. "short shrub tundra", "sparse short shrub tundra" and "dry short shrub tundra"), and slight decrease in grasses, heath and peatland. The main detected trend in these changes demonstrates process of greening in Arctic tundra, which indicates structural variations in ecosystems within the Bovanenkovo district. These changes can be explained by the complex ecological processes as well as anthropogenic influence, caused by Bovanenkovo gas field exploration and its consequences.
Research Interests: Image Processing, Image Analysis, Satellite remote sensing, Remote sensing and GIS applications in Landscape Research, Geo-spatial analysis with GIS and GPS, and 8 moreRemote sensing and GIS, Digital Image Processing, Arctic, Ilwis, Landsat TM, Landsat-7 ETM +, Arctic Tundra, and Geographic Information Systems (GIS)
Данная работа представляет результат геопространственного анализа выбранной территории (западная часть Турции, регион Измир) с комбинированным использованием космических снимков Google Earth, Landsat TM и ГИС ПО Erdas Imagine. В работе... more
Данная работа представляет результат геопространственного анализа выбранной территории (западная часть Турции, регион Измир) с комбинированным использованием космических снимков Google Earth, Landsat TM и ГИС ПО Erdas Imagine. В работе рассмотрены преимущества совместного использования космических снимков разной категории и детальности (мультиспектральные снимки Landsat TM и ETM+, а также Google Earth веб-сервис) вкупе с ГИС обеспечением для задач геопространственного анализа, часто решаемые в Высшей школе на курсах географии и наук о Земле. Данная работа приводит пример успешного изучения ландшафтов. Изучение распространения различных типов земной поверхности, моделированное с помощью Landsat TM и Google Earth позволяет анализировать динамику изменений ландшафтов, а также подтверждает возможность эффективного использования веб-сервиса Google Earth для тематического картографирования. Для классификации снимков были использованы технологии обработки снимков методами доступных модулей ПО Erdas Imagine. Веб-сервис Google Earth был успешно использован для верификации и валидации результатов картографирования с помощью модуля «Linking with Google Earth».
Research Interests: Remote Sensing, Satellite remote sensing, Web GIS, Remote sensing and GIS, GIS Applications in Geography Learning and Teaching, and 7 moreGIS, WebGIS and Remote Sensing, Google Earth, İzmir, Satellite Remote Sensing & Image Processing, Land-use/ Land-cover Change, Web based GIS, and Web mapping services
The goal of the study is to perform comparative analysis of image processing methods, enabled by means of IDRISI GIS software. The purpose has two aims. First, a spatial analysis of land cover types in the coastal landscapes of western... more
The goal of the study is to perform comparative analysis of image processing methods, enabled by means of IDRISI GIS software. The purpose has two aims. First, a spatial analysis of land cover types in the coastal landscapes of western Estonia, Pärnu area, at two various temporal dates. Second, an overview of the technical methods of IDRISI GIS enabling to evaluate image processing. The main research method consists in classification of satellite images for resulting geoecological mapping of landscapes. The ISOCLUST classification enabled to create multi-spatiotemporal thematic maps of Pärnu area. The research method is based on the spatiotemporal analysis of the geospatial data, performed by means of GIS tools and remote sensing data.
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The research focuses on the environmental mapping of the Šumava National Park (ŠNP), the largest of the four national parks (68,064 hectares) located in the south-west of Czech Republic, on the border with Germany. Since 1990 it has been... more
The research focuses on the environmental mapping of the Šumava National Park (ŠNP), the largest of the four national parks (68,064 hectares) located in the south-west of Czech Republic, on the border with Germany. Since 1990 it has been the protected Biospherical Reserve of UNESCO The spatial analysis performed by means of QGIS in combination with remote sensing data (satellite images Landsat TM) for geobotanical studies. The spatio-temporal analysis was applied to raster images taken at 1991 and 2009. Built-in functions of the mathematical algorithms of QGIS enabled to process geospatial data and to derive information for geoecological modelling. The research aim was to analyse how the ecosystem landscapes located within the study area changed since 1991 until 2009 (18-year time span) using remote sensing data and GIS. The data include GIS layers in two forms: raster layers as Landsat TM images with 18-years interval (1991 and 2009), and vector thematic layers in ArcGIS shape-file format. The data were stored in a GIS project. Technically, the GIS project were generated in Quantum GIS (QGIS) software. The images classification was used to analyse changes in the ŠNP area that consist in different geobotanical land cover types. The results of spatial analysis demonstrated that structure, shape and configuration of landscapes in ŠNP changed since 1991. The combination of the remote sensing data and GIS tool for pattern recognition is proved to be effective tool for geo-botanical research, which is demonstrated in the current research.
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Landslides are natural hazards typical for Alpine regions in Austria. They often lead to negative consequences for the society and environment and cause frequently high economic losses. Estimation of economic risks is a sound basis for... more
Landslides are natural hazards typical for Alpine regions in Austria. They often lead to negative consequences for the society and environment and cause frequently high economic losses. Estimation of economic risks is a sound basis for landslide risk mitigation and prevention. This research aims to assess risk and estimate economic damage caused by landslides. The study area is located in the Ybbs valley, Lower Austria, a touristic region and a critical transport corridor. Methodology consists of GIS analysis and estimation of the monetary losses. Spatial analysis includes defining elements at risk located in the buffer zone of 100 m near landslides. The results include estimated losses caused by the destruction of immobility and transport, including costs for buildings demolition, restoration, roads rebuilding, debris transport, excavation and removal.
Research Interests: Spatial Analysis, Slope Stability, Landslides, Environmental Risk Assesment, Geo-spatial analysis with GIS and GPS, and 7 moreRisk Assessment & Risk Management, Slope Stability and Landslides, Austria, Natural Resource Economics, Risk Assessment, Land Valuation, Landslide hazard and risk assessment, Geographic Information Systems (GIS), and Landslide Hazards Management and Risk Assessment
The paper focuses on the monitoring changes in Russian tundra landscapes and distribution of various land cover types in Yamal Peninsula, Russia, during the past two decades. Specific climate and environmental settings of the study area... more
The paper focuses on the monitoring changes in Russian tundra landscapes and distribution of various land cover types in Yamal Peninsula, Russia, during the past two decades. Specific climate and environmental settings of the study area facilitate seasonal flooding, active erosion processing, permafrost distribution and local landslide formation. Technically, the research has been performed using ILWIS GIS applied for satellite images comparative analysis using GIS supervised classification methods.
Research Interests: Image Processing, Remote Sensing, Remote sensing and GIS applications in Landscape Research, Geo-spatial analysis with GIS and GPS, Remote sensing and GIS, and 9 moreDigital Image Processing, Image Classification, Arctic, Land use/ land cover change studies, Landsat TM, Landsat-7 ETM +, Arctic Tundra, Geographic Information Systems (GIS), and Land-use/ Land-cover Change
В результате работы распределены ареалы сельскохозяйственных ландшафтов и различных культур посевных в предгорьях холмов Мечек в 1992 и 2006 гг. Типы растительного покрова были интерпретированы на основе ассоциации пикселей в различные... more
В результате работы распределены ареалы сельскохозяйственных ландшафтов и различных культур посевных в предгорьях холмов Мечек в 1992 и 2006 гг. Типы растительного покрова были интерпретированы на основе ассоциации пикселей в различные тематические классы: растительность, различные категории сельскохозяйственных земель аграрного назначения и антропогенных территорий. Детализируя технические аспекты картографического отображения почвенно-растительного покрова, в частности распознавания различных посевных культур по спутниковым снимкам (пшеница, ячмень, маис, подсолнечник, сахарная свекла, картофель), это работа вносит вклад в развитие сельскохозяйственного экологического мониторинга.
Research Interests: Image Processing, Remote Sensing, Remote sensing and GIS applications in Landscape Research, Digital Image Processing, Image Classification, and 8 moreHungary, Ilwis, Landsat TM, Image Clustering, Landsat-7 ETM +, Land Use/ Land Cover Dynamics and LULc Modeling, Geographic Information Systems (GIS), and Land-use/ Land-cover Change
The situation of chemical contamination, current environmental conditions of Izmir Bay, effects of industrial threats on the surrounding landscapes caused by chemical and organic pollutants as well as water pollution were reviewed and... more
The situation of chemical contamination, current environmental conditions of Izmir Bay, effects of industrial threats on the surrounding landscapes caused by chemical and organic pollutants as well as water pollution were reviewed and analyzed in the current work. Undoubtedly, water pollution and its ecological impact causes worries and challenges in western Turkey. The waters of Izmir Bay are polluted critically in the inner part, significantly in its central part, and more or less satisfactorily in the outer part of the bay. This confirms that Izmir Bay is claimed to be one of the most polluted estuaries in the Mediterranean Sea. Since hydro- and oceanological settings play vital role within the ecosystem structure, the polluted coastal and shelf waters cause serious environmental consequences in the region. Current paper reported environmental threats in the ecosystems based on studies of numerous related documents and GIS analysis and reviewed ecological threats in the ecosystem of Izmir area using related reports and GIS.
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The paper describes the evolution of the Aristotle's views on the relationship between man and the environment in the dynamics of his philosophical system. His concept of the phenomenon of the human with his psyche and a nature as a... more
The paper describes the evolution of the Aristotle's views on the relationship between man and the environment in the dynamics of his philosophical system. His concept of the phenomenon of the human with his psyche and a nature as a whole, is based on the empirical investigations. A multidisciplinary approach to the problem of "man-nature" distinguishes his system from the prevailing concepts of the idealism, based on the combination of the empirical investigations of natural processes with deep analysis of the socio-political processes impacting the personal development of the man.
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Current work presents results of the terrain data processing for hydrological analysis using two GIS software: ArcGIS and Idrisi GIS. The aim of the research is to analyse the situation of the river basin in the selected study area... more
Current work presents results of the terrain data processing for hydrological analysis using two GIS software: ArcGIS and Idrisi GIS. The aim of the research is to analyse the situation of the river basin in the selected study area (Gallocanta, Spain), to assess possible risks for floods and landslides. The study aims to understand the processes and spatial and temporal patterns of surface-climate interaction in a watershed to assess the impacts of the local climate change on the hydrological conditions of the lake's surroundings and to develop geomorphic analysis using SRTM input data, for effective environmental management.
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This paper discusses some methodological aspects of the seminar classes on geography with a case study of Arctic Ocean. Particularly, is concerns general principles of the individual student work: how one can better design a GIS, how one... more
This paper discusses some methodological aspects of the seminar classes on geography with a case study of Arctic Ocean. Particularly, is concerns general principles of the individual student work: how one can better design a GIS, how one can find, collect and analyze available geodata on the marine ecology. The paper presents a data reference sketch for the classes of geography.
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This research is focused on the effective management of spatial data: organizing geographical and environmental data of the Finnish ecosystems in a structured and systematical way for further environmental assessment. The research has... more
This research is focused on the effective management of spatial data: organizing geographical and environmental data of the Finnish ecosystems in a structured and systematical way for further environmental assessment. The research has been carried out on the Biogeochemistry Research Unit, Faculty of Natural and Environmental Sciences, Department of the Environmental Sciences , University of Kuopio (Eastern Finland). The study area is situated within central Finland and some data in the North Finland (Fig.1). The work is aimed on the structuring and management of spatial data for environmental assessment. The data were organized in an ArcGIS project. The data were collected during the last 20 years. Fig. 1. GIS project of Finland: study area with neighboring countries and shaded relief The data build up core environmental information cluster for the biogeochemical soil analysis of the ecosystem components. To represent data measurement placements within the study area and for additional spatial or thematic information: satellite imagery, shaded maps, pictures captures during the expeditions and any text describing the places. The mapping project FINLAND.mxd has been started using ArcGIS 9.1 software. The map of Finland in a vector .mxd format was used to start this project.
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Current research presents study of the hydrological characteristics in the surroundings of the Laguna de Gallocanta (Spain) using remote sensing methods and combination of two GIS: ArcGIS and Idrisi GIS. The methodology includes following... more
Current research presents study of the hydrological characteristics in the surroundings of the Laguna de Gallocanta (Spain) using remote sensing methods and combination of two GIS: ArcGIS and Idrisi GIS. The methodology includes following workflow: 1) selection of the multi-temporal Landsat images and creating color composites; 2) Masking and overlaying study area out of the whole image; 3) Calculation of the direction and length of stream flow in the lake basin; 4) assessment of possible risks of floods and stability of coastal slopes. The research has aim of hydrological assessment testing GIS tools for environmental monitoring.
Research Interests: Spatial Analysis, Slope Stability, Environmental Monitoring, Geo-spatial analysis with GIS and GPS, Hydrological modelling, and 5 more Satellite Remote Sensing & Image Processing, Lacustrine sedimentology and lake sediment stratigraphy, Landsat-7 ETM +, Environmental Modelling, and Geographic Information Systems (GIS)
При подготовке курсовых и дипломных работ ВУЗов студенты зачастую сталкиваются с определенными методическими трудностями, связанными с поиском данных, материалов и выбором ПО. Настоящая работа направлена на решение этой проблемы.... more
При подготовке курсовых и дипломных работ ВУЗов студенты зачастую сталкиваются с определенными методическими трудностями, связанными с поиском данных, материалов и выбором ПО. Настоящая работа направлена на решение этой проблемы. Лабораторные работы на географических факультетах должны сопровождаться открытыми ГИС для эффективной обработки материала в сопровождении тематических карт, атласов, баз данных и литературных источникиов. Эффективность такого подхода основана на фундаментальной объективности ГИС, наглядности картографической семиотики процессов природной среды. На основе выполненного экологического анализа оценки географических ситуаций акваторий студентами могут быть составлены итоговые тематические карты для выпускной работы 4 или 5 курса. Применение методов ГИС при подготовке диплома на географических факультетах является перспективным и обоснованным научно-практическим подходом, обеспечивающим высокий уровень изучения морских и прибрежных экосистем.
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This paper examines impacts of physical and geographic settings of the Arctic seas on the directions of the suspended substance transport within water areas. The cumulative effect of the hydrological factors, such as current directions,... more
This paper examines impacts of physical and geographic settings of the Arctic seas on the directions of the suspended substance transport within water areas. The cumulative effect of the hydrological factors, such as current directions, with geomorphic features of the region, e.g. the seabed bathymetry or beach types, has strong impact on the direction of the substance distribution within water bodies, and in turn, to biota sustainability. Additionally to the contamination caused by anthropogenic sources, the oceanological factors determine the risk of water pollution by chemicals. Current research contributes towards regional studies of Arctic ocean. It studies interrelationships of multiple factors on environmental sustainability of the marine ecosystems.
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Current research demonstrated effective data management for environmental research. So far, the data were stored by individual researchers responsible for their own projects. Now the data are collected together in a very structured... more
Current research demonstrated effective data management for environmental research. So far, the data were stored by individual researchers responsible for their own projects. Now the data are collected together in a very structured system. Thus, it is possible to add all further information (other relevant data) into this database systematically and to use them for the thematic research. The necessary amendments or additions of the information can be done as new data from the field expeditions become available. The data of both terrestrial and aquatic ecosystems of Finland with the key information of fluxes measurements of chemical elements (CO2, N2O, CH4) are now collected in one main Table Measurements.xls with a separate catalogue of all this data: Metadata_Finland.xls containing essential information and site codes. The Database can now be used for environmental analysis, e.g. detecting changes in the state of the ecosystems, predicting their behaviour in the future. Therefore, it is now possible to make the environmental prognosis of the Finnish ecosystems, to analyse their conditions, behaviour and sustainability. During the research the software ArcGIS 9.1 (including its cartographic module ArcMap and the Arc Catalogue) and Microsoft products (Word, Excel and Access) were used.
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Using multi-source data analysis a complex comparative geospatial analysis has been performed: the development, current & past environmental and social problems of three cities are studied. The main particularity of this project is its... more
Using multi-source data analysis a complex comparative geospatial analysis has been performed: the development, current & past environmental and social problems of three cities are studied. The main particularity of this project is its integrity and complexity: multi-source data used (geospatial, narrative, statistical, visual, visualized graphs and tables, pictures and archive information), multi-disciplinary approach (geography, history, statistics, sociology, economics, demography, and environmental studies). The patterns of urban risks in three representative regions of Russia (Moscow and St.-Petersburg) are assessed for different climate change scenarios. Expected future human activity is represented by the trajectory of quantitative indicators from the past (1970) up to date (2012/2015). Updated inventories, as well as human susceptibility towards urban development, possible consequences of uncontrolled city sprawl, and risk maps will be produced for each city (Moscow and St.-Petersburg) for several time periods.
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Работа систематизирует методические указания по проектированию, составлению и оформлению серии карт экологического мониторинга морских регионов, включая выбор масштабного ряда и математической основы, дизайнерских решений и тематического... more
Работа систематизирует методические указания по проектированию, составлению и оформлению серии карт экологического мониторинга морских регионов, включая выбор масштабного ряда и математической основы, дизайнерских решений и тематического содержания серии. Использование инструментария ГИС и CAD эффективно для визуализации природоохранных объектов и мониторинге экосистем. При составлении серии тематических карт используются практически все известные способы ГИС изображения и графические методы для пространственного размещения явлений, сочетаний, связей и динамики, Однако на данный момент не существует общепринятых рекомендаций по дизайну карт. Статья восполняет этот недостаток, обобщая существующий опыт и предлагая оптимальные решения для ГИС.
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The research performs urban ecosystem analysis supported by ENVI GIS by integrated studies on land cover types and geospatial modeling of Taipei city. The paper deals with the role of anthropogenic pressure on the structure of the... more
The research performs urban ecosystem analysis supported by ENVI GIS by integrated studies on land cover types and geospatial modeling of Taipei city. The paper deals with the role of anthropogenic pressure on the structure of the landscape and change of land cover types. Methods included assessment of the impact from anthropogenic activities on the natural ecosystems, evaluation of the rate and scale of landscape dynamics using remote sensing data and GIS. The research aims to assist environmentalists and city planners to evaluate strategies for specific objectives of urban development in Taiwan, China. The study aims at the assessment of the landscape development and environmental analysis of the Taipei city based on GIS and remote sensing methods. Methodology includes analysis of the environmental settings of the Taiwan region (land cover characteristics, climatic and topographic settings) and anthropogenic factors of the social landscapes. Research objectives included GIS based geo-visualization, spatial analysis of the raster data, i.e. satellite images and. Different factors involved in the landscape formation were studied and analyzed, both individually and in combination. The paper studies urban processes in Taipei in general and how GIS and remote sensing data can be used for the spatial analysis. The research deals with classification and analysis of the selected landscapes in Taiwanese ecosystems, and suggest development of the effective methods for wetlands assessment using a multi-metric approach. The research included analysis of the degree of landscapes disturbance according to the calculated metrics index values for specific land-use categories within the landscapes. As far as conservation problems are concerned, two scientific works place particular emphasis on the urban ecosystems on Taipei [9]. These are «Pattern and divergence of tree communities in Taipei's main urban green spaces» and «Diversity and distribution of landscape trees in the compact Asian city of Taipei», issued recently. The papers deal with the analysis of the landscape biogeographic characteristics of the urban forests: species diversity, composition and richness, spatial variability. The interplay between both parts of the ecosystem, i.e. the anthropogenic impacts of the global city on the one side, and ecological patterns and processes on the other, is aimed to achieve balanced mutual coexistence within the global ecosystems. Modified land use types affect hydrological components in the surrounding watersheds and results in changes of the land use patterns, namely, landscape composition, configuration, connectivity, variety and abundance of patch types within a landscape, which are the primary descriptors of the landscape pattern. The complex functioning, structure and interrelationships of the landscape components in urban ecosystem are largely influenced by the anthropogenic activities, inasmuch as the population concentrate in the metropolises and large cities. The location of Taipei in the southern subtropical humid climatic zone largely influences its environmental settings. Various disasters and hazards associated with specific climate settings such as torrential rains, occasional floods, rainstorms, seasonal typhoons have serious impacts and environmental consequences on the city functioning. Frequent and intense typhoons together with stormy rains and floods are natural disasters specific for Taiwan. Consequences of hazards include significant property damage, destroyed farmlands, crashed roads, partially or completely destroyed houses, human injures, diseases and lives losses. Urban landscapes of Taipei are being formed during long historical process, as a result of the ongoing entangled interactions between natural forces and anthropogenic social factors.
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Данная работа представляет проведение комплексного анализа факторов антропогенного воздействия, влияющие на состояние природной среды морских экосистем, включая анализ природных взаимосвязей элементов морских экосистем и динамики... more
Данная работа представляет проведение комплексного анализа факторов антропогенного воздействия, влияющие на состояние природной среды морских экосистем, включая анализ природных взаимосвязей элементов морских экосистем и динамики природных явлений, а также анализ факторов загрязнения акваторий и закономерности распределения загрязняющих веществ на примере Баренцева моря. На исследовательском этапе работы был выполнен сбор всей доступной информации для ее организации в базе экологических данных. Был рассмотрен и обобщен существующий опыт экологического мониторинга, классифицированы основные типы антропогенных воздействий на отдельные компоненты морской экосистемы. Данная работа представляет проведение комплексного анализа факторов антропогенного воздействия, влияющие на состояние природной среды морских экосистем, включая анализ природных взаимосвязей элементов морских экосистем и динамики природных явлений, а также анализ факторов загрязнения акваторий и закономерности распределения загрязняющих веществ на примере Баренцева моря. На исследовательском этапе работы был выполнен сбор всей доступной информации для ее организации в базе экологических данных. Был рассмотрен и обобщен существующий опыт экологического мониторинга, классифицированы основные типы антропогенных воздействий на отдельные компоненты морской экосистемы. Current work presents analysis of the human induced impact factors on the sustainability of the marine environment. It includes the analysis of the interconnections between the marine ecosystems and the dynamics of the natural phenomena as well as analysis of the factors of the contamination of the sea waters and spatial patterns of this distribution with a case study of the Barents Sea. All available information on the environment of the study area has been collected and organized in a database. The paper summarized current experience of the existing environmental monitoring, classified the main types of the anthropogenic impacts on the selected parts of the marine ecosystem.
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Работа рассматривает применение методов моделирования и интерполяции пространственных данных при геоинформационном картографировании. Составление карт загрязнения при экологическом мониторинге сталкивается с техническими проблемами,... more
Работа рассматривает применение методов моделирования и интерполяции пространственных данных при геоинформационном картографировании. Составление карт загрязнения при экологическом мониторинге сталкивается с техническими проблемами, которые были рассмотрены в настоящей статье: выбор оптимальных методов обработки данных: построение гридов, кригинг, экстра- и интерполирование точечных данных.
Research Interests: Environmental Science, Spatial Analysis, Data Analysis, Environmental Management, MARINE POLLUTION, and 7 moreEnvironmental Monitoring, Marine And Environmental Pollution, Geo-spatial analysis with GIS and GPS, Multivariate Data Analysis, Data Modeling, Geostatistical Analysis, and Geographic Information Systems (GIS)
This paper focuses on the assessment of the changes in land cover types in Yamal peninsula over the past two decades, which shows local environmental aspects of the climate change in North. Technically, the data processing was performed... more
This paper focuses on the assessment of the changes in land cover types in Yamal peninsula over the past two decades, which shows local environmental aspects of the climate change in North. Technically, the data processing was performed in ILWIS GIS, using semi-automated methods of image interpretation and supervised classification. The results of the classification analysis enable to identify changes in land cover types and their distribution in Yamal.
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The study aim is mapping swamp areas in the Yamal Peninsula using multi-temporal Landsat TM satellite images and software ILWIS GIS. The study technically based on the GIS techniques proved ecological dynamics by detected changes of the... more
The study aim is mapping swamp areas in the Yamal Peninsula using multi-temporal Landsat TM satellite images and software ILWIS GIS. The study technically based on the GIS techniques proved ecological dynamics by detected changes of the selected landscapes in the Far North of Russia.
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This paper analyses optimal methods for the estimation of the environmental hazards with a case study of landslides causing degradation of the mountainous forest ecosystems. The aim of this work is analysis of possible methods of... more
This paper analyses optimal methods for the estimation of the environmental hazards with a case study of landslides causing degradation of the mountainous forest ecosystems. The aim of this work is analysis of possible methods of estimating consequences caused by environmental hazards affecting forest ecosystems. Methodological advances have been made in regional applications of landslides risk studies , including specific research questions, such as vulnerability estimation [11],[9], [10], [14], [17], economic estimation of the losses, assessment of risk perception and social aspects of risk [13], cartographic aspects of risk mapping [9], [1], [16], as well as elaboration of the methodology of the overall risk assessment [14]. The GIS-based mapping is undoubtedly indispensable tool for landslide risk studies, applicable both for spatial and temporal aspect of the hazard risk assessment. Many successful examples of landslide risk assessment and susceptibility analysis based on GIS mapping were done [3], [11], as well as calculation of the Normalized Difference Vegetation Index [6]. Various example of the thematic mapping of forest ecosystems are provided. For all that, the applications of the risk studies specifically for the mountainous forest landscapes mostly depend on hazard occurrence and data availability, accessibility, compatibility and integration. Usually, scientific reports focus on mountainous Alpine regions, which are well studied [15], [12]. The studies of risk assessment of natural hazards grew from the engineering branch of risk analysis and are being now rapidly developed since 1990s. The understanding of the concept " risk " varies at different authors, with the main difference in the degree of objectivity of risk concept: some authors define risk as independent and 'given' value, while others stress the influence of social factor on overall risk. According to the UNISDR, risk is a " probability of harmful consequences, or expected losses (deaths, injures, property, livelihoods, economic activity disrupted or environment damaged) resulting from interactions between natural or human-induced hazards and vulnerable conditions ". When applying this general concept to the natural context, risk is defined [12] as a product of hazard and vulnerability of the elements disposed to risk. Risk assessment is mainly focusing on risk management of natural hazards, i.e. with a main stress on human-environmental cooperation and coexistence [8]. Management of risk aims to lessen the risk levels, and includes estimation of risk and actions to minimize overall risk level. The evaluation includes identification of main stakeholders and elements at risk, monetary values of losses, strengths, weaknesses of the elements at risk, significant factors in the environment, outcomes expected, established risk criteria [4]. Risk identification involves examining all sources of risk from the perspective of all stakeholders. There are different methods of qualitative and quantitative assessment of landslide risk, including risk analysis, which aims at the identification of hazard consequences and defining possible endangered regions. The level of risk is the combination of the likelihood of a risk occurring and the consequences if it does occur. In the risk estimation there are proposed levels of risk identified for landslide hazards [14]: intolerable, tolerable and acceptable. The results of risk analysis and assessment can considerably lessen potential consequences of landslide hazards. The landslide hazard is expressed as a limited probability that a landslide occurs within a given period of time [7]. There are proposed method of the recurrent intervals for the definition of the landslide hazard zones. Methods of predicting dynamic movements of the landslides and estimating their temporal probability are not well elaborated yet and are hardly available. The assessment of temporal probability of landslides is very difficult to perform. The risk of landslide processes is strongly determined by the wide variety of different factors, among which is the slope angle. Other factors, associated with landslides, are geological structure, material characteristics, water pressure, topography, river erosion, and weathering. These are also important triggers in landslide formation and movements [5]. All objects that can be affected by the landslides are usually defined as elements at risk: it can be humans and valuable objects located in the endangered area. It is assumed that elements at risk include buildings, infrastructure, services, property, population and environment. The population at risk is defined as a number of people present in dangerous areas, whose losses are expressed as health injury and deaths. The risk for population is estimated as possible losses of lives. Valuable objects can be more easi
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В настоящей работе рассмотрены основные негативные тенденции в экологических изменениях Арктических морей, вызванные, в первую очередь, глобальными климатическими процессами, такими как повышение температуры верхних почвенных слоев и... more
В настоящей работе рассмотрены основные негативные тенденции в экологических изменениях Арктических морей, вызванные, в первую очередь, глобальными климатическими процессами, такими как повышение температуры верхних почвенных слоев и прибрежных морских вод, изменения содержания и состава донных осадков, скорости осадконакопления, структуры зоопланктона и др. Приведены примеры возможных изменений в экосистемах.
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The research paper focuses on the environmental problem of Yamal region, geographically located in the Russian Yamal-Nenets autonomous region, northern-central Russia. This region is characterized by the unique nature and environmental... more
The research paper focuses on the environmental problem of Yamal region, geographically located in the Russian Yamal-Nenets autonomous region, northern-central Russia. This region is characterized by the unique nature and environmental conditions, combining two physical-geographical regions: sub-Arctic and Arctic moss-lichen tundra and permafrost conditions. The recent changes in global climate and overall warming highly contribute to the degradation of the tundra environment and increases cryogenic slope processes. This paper focuses on the investigation of the ecological aspects of the global climate change in Yamal peninsula, and analysis the development of slope processes on the local tundra environment.
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The paper studies changes in land cover types in tundra landscapes during the past two decades. The study area is located in the Yamal Peninsula, north-central Russia. The main objective of this research is to analyze changes in... more
The paper studies changes in land cover types in tundra landscapes during the past two decades. The study area is located in the Yamal Peninsula, north-central Russia. The main objective of this research is to analyze changes in vegetation distribution and land cover types over the area of Yamal Peninsula. Methodology of the work aims at technical application of the remote sensing and GIS tools for studies and includes georeferencing, creation of color composites, supervised classification. The research data includes Landsat scenes.
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Арктика – уникальный регион планеты и стратегическая часть географического севера Российской Федерации. Будучи экосистемой природоохранного значения и важнейшим климатообразующим регионом планеты, Арктический бассейн одновременно является... more
Арктика – уникальный регион планеты и стратегическая часть географического севера Российской Федерации. Будучи экосистемой природоохранного значения и важнейшим климатообразующим регионом планеты, Арктический бассейн одновременно является местом разведки ценнейших геологических ресурсов, что обусловливает интенсивную антропогенную деятельность в регионе. Оценка риска возникновения кризисных экологических ситуаций, обусловленных антропогенными воздействиями, в отдельных акваториях Арктического бассейна необходима для понимания возможных процессов и экологических ответных цепочек реакций экосистем на те или иные факторы риска или изменений в природе. Настоящая работа была предпринята с целью районирования Арктического бассейна на предмет возникновения экологических рисков, связанных с деятельностью человека.
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The formalization of the legends is necessary for effective use of GIS for the environmental mapping. The legend contains an important part of the attribute information helping to read the map and classify objects. Complex maps usually... more
The formalization of the legends is necessary for effective use of GIS for the environmental mapping. The legend contains an important part of the attribute information helping to read the map and classify objects. Complex maps usually have complex legends. However, nowadays there is a lack in accepted manuals or optimal solutions on creation of GIS legends. This work fills this gap in this part of the methodology of GIS mapping.
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В работе рассмотрены типы тематических информационных блоков природных характеристик экосистемы с ее структурными составляющими, необходимые при разработке ГИС-проекта. При составлении серии геоэко- логических карт базовой является... more
В работе рассмотрены типы тематических информационных блоков природных характеристик экосистемы с ее структурными составляющими, необходимые при разработке ГИС-проекта. При составлении серии геоэко- логических карт базовой является информация о природных особенностях региона, которая получена при изучении тематических карт, формирующих картографический фонд банка данных проекта. При этом вся полученная тематическая информация о природных ресурсах региона структурируется в базе данных по региону соответственно тематическим блокам, к которым она генетически принадлежит.
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Among all Arctic seas, the Barents Sea is characterized by its unique environment and high level of the biodiversity. At the same time the Gulf Stream waters transport large amounts of pollutants in the Barents Sea bringing various... more
Among all Arctic seas, the Barents Sea is characterized by its unique environment and high level of the biodiversity. At the same time the Gulf Stream waters transport large amounts of pollutants in the Barents Sea bringing various contaminants and substances from the North Sea. Nowadays, there are in Timan Pechora-Carboniferous basin located in the Barents Sea with 76 oil and gas subsidies, which store a quarter of all Russian oil. The ecological stress on the Barents environment is extremely high. As a result of contamination, the current state of the Arctic environment in the unique area of the Barents Sea may become threatening provided human impact remains at the same level. This article demonstrates the problem of nature resistance towards human impact. It shows negative human impact on the environment. Current geo-ecological situation in the Barents Sea as a unique hydrodynamic system is analyzed. The consideration is given both to the level of negative human impacts on the marine ecosystem as well as to the resistance of nature, i.e. the ability to deal with environmental stress, multiplied by their geographical location in the Arctic climate.
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Преимущества и перспективы комплексного геоинформационного картографирования морских экосистем очевидны в свете интенсивного развития ГИС картографии за последние 20 лет. Целесообразность применения геоинформационных технологий в изучении... more
Преимущества и перспективы комплексного геоинформационного картографирования морских экосистем очевидны в свете интенсивного развития ГИС картографии за последние 20 лет. Целесообразность применения геоинформационных технологий в изучении морских акваторий определена их эффективным применением для анализа взаимосвязей между сложными географическими явлениями и процессами в комплексных морских экосистемах и вы-работки алгоритма районирования экосистем на основе всей доступной тематической инфор-мации. Настоящая работа представляет разработанную методику геоинформационного карто-графирования морей Арктики в качестве примера использования геоинформационных техно-логий для мониторинга состояния морских экосистем. Предложенная методика морского геоэкологического картографирования в масштабах 1:5млн-1:20млн предназначена в первую очередь для природоохранных институтов, занимающихся проектированием экологических карт и осуществлением экологического контроля и мониторинга морских бассейнов. Карты, со-ставленные по данной методике, могут служить основой для решения задач моделирования динамики морских экосистем в зоне особо интенсивного антропогенного воздействия (например, на шельфе и очагах нефтедобычи). В результате работы над ГИС проектом и апробации разработанной методики на примере Арктического бассейна и Баренцева и Печорского морей составлены редакционные указания на следующие тематические блоки. Блок 1 – базовый, включающий инвентаризационные карты, демонстрирующие характер пространственного распределения загрязнителей по отдельным акваториям Арктических мо-рей и уровень загрязнения отдельных компонентов природной среды различными типами за-грязнителей. Карты данного блока должны отражать природные условия и ресурсы Арктиче-ского бассейна, содержать основу для разработки следующих тематических карт, в т. ч. прогноза дальнейшего экологического развития акватории, и имеют информационно-справочный характер. Показывая местоположение существующих источников загрязнения и ареал их рас-пределения в пределах акватории, они должны давать возможность анализа особенностей направления их миграции. В данном блоке предложено к разработке 20 тематических карт: содержание нефтяных углеводородов в придонном слое вод Баренцева моря содержание тя-желых металлов в толще морской воды (Cd, Cr, Cu, Hg, Ni, Pb, Zn) – 7 карт загрязнения мор-ской воды радионуклидами (137 Cs, 60 Co, 239,240 Pu, 90 Sr)–3 карты содержания радионуклидов (137 Cs, 60 Co, 239,240 Pu, 90 Sr) в толще морской воды Арктического бассейна, 1:20млн; загрязнение морской воды хлорорганическими соединениями (сумма ДДТ, ∑ ГХЦГ, ∑ ПХБ) –3 карты, комплексное содержание тяжелых металлов (поэлементно) в тканях рыб и морских животных Арктики (Cd, Cr, Cu, Hg, Ni, Pb, Zn), 1:20млн; содержание тяжелых металлов в организмах зоопланктона Арктики (Cd, Cr, Cu, Hg, Ni, Pb, Zn), 1:20млн, содержание тяжелых металлов в донных осадках Арктики, 1:20млн; выбросы тяжелых металлов (Cd, Cr, Cu, Hg, Ni, Pb, Zn) в атмосферу и очаги их распространения, 1:20млн; Cs-137 в донных осадках Печорского моря. Блок 2 охватывает карты динамики нарушений отдельных компонентов природной среды в акваториях Арктических морей демонстрируют динамику развития негативных экологических процессов, обусловленных чрезмерным техногенным воздействием по данным за различные временные периоды, охватывающие 35 лет. Карты данного блока показывают масштабы загрязнений и развитие негативных процессов и явлений по разным датам, что дает возможность анализа тенденций развития процессов для их дальнейшей оценки и прогнозирования.
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Current work details standardized methodology for mapping the dynamics of the pollution of the seas with a case study of Arctic. The main problems while map ping such complex objects as marine areas are discussed. The workflow steps for... more
Current work details standardized methodology for mapping the dynamics of the pollution of the seas with a case study of Arctic. The main problems while map ping such complex objects as marine areas are discussed. The workflow steps for marine mapping are suggested and presented. The parameters required while mapping seas are discussed. Finally, the most important cartographic sources as raw materials for creating GIS project are recommended. Key words: ecology, monitoring, mapping, Arctic.
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Геоэкологическое зонирование акваторий безусловно необходимо для детального и своевременного мониторинга состояния окружающей среды морских экосистем. Однако, в отличие от картографирования суши, принципы районирования морей сильно... more
Геоэкологическое зонирование акваторий безусловно необходимо для детального и своевременного мониторинга состояния окружающей среды морских экосистем. Однако, в отличие от картографирования суши, принципы районирования морей сильно различаются, и до сих пор не существует единого, общепризнанного мнения и научного подхода в этой проблеме. В данной статье представлены методология, используемая для подготовки и хранения информации о районировании морей с помощью ГИС. Одним из наиболее употребляемых принципов геоэкологического картографирования морских экосистем является ландшафтно-экологический подход, широко использованный при составлении комплексных геоэкологических карт Баренцева моря и использовавшийся при составлении геоэкологических карт для комплекта Государственных геологических карт шельфа масштаба 1:1000000. В задачи картографирования по этой методике входит установление особенностей донных ландшафтов, их типизация, районирование и разработка экологически обоснованных рекомендаций для геологоразведочной и другой деятельности в шельфовых зонах.
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The paper discusses methods of the geoinformatics approaches and most appropriate cartographic tools and software while mapping marine and ocean areas. Various GIS software features are discussed and reviewed.
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The 'Object Based Image Analysis' approach (further, OBIA) becomes increasingly popular and is being used for classifying VHR remote sensing images. The use of this innovative approach for urban mapping is highly effective as it makes... more
The 'Object Based Image Analysis' approach (further, OBIA) becomes increasingly popular and is being used for classifying VHR remote sensing images. The use of this innovative approach for urban mapping is highly effective as it makes possible to include information about features, shapes and other characteristics of urban space and to interpret them for the studies of land cover types. Using very high resolution (VHR) image for mapping enables to identify land cover and land use types within urban environment. Hence, the OBIA approach for processing remote sensing data creates effective tools for urban studies. Furthermore, the application of the priori knowledge is necessary for the case studies where additional knowledge can implement detailed information into the existing databases, e.g. information on land cover and land use types, roads, buildings, vegetation units (parks)
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В работе подготовлены рекомендации для составлении оценочной карты экологического ранжирования акватории Баренцева моря по уровню антропогенной нагрузки и прогнозирования возможных изменений на основе ГИС. Разработаны методические... more
В работе подготовлены рекомендации для составлении оценочной карты экологического ранжирования акватории Баренцева моря по уровню антропогенной нагрузки и прогнозирования возможных изменений на основе ГИС. Разработаны методические указания к проведению районирования Баренцева моря с учетом риска возникновения кризисных экологических ситуаций, связанных с антропогенной деятельностью. Исходные материалы включают физико-географические особенности акватории, данные о распространении и химической активности загрязнителей, поступающих в пределы акватории, а также о масштабах их воздействия, которые интегрируются в среде GIS.
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В настоящее время существует высокий уровень экологического риска в прибрежной зоне Арктики. Бассейн Северного Ледовитого океана является не только уникальным географическим регионом, но имеет важные экологические и стратегические... more
В настоящее время существует высокий уровень экологического риска в прибрежной зоне Арктики. Бассейн Северного Ледовитого океана является не только уникальным географическим регионом, но имеет важные экологические и стратегические функции. Одновременно, Арктический бассейн является своего рода зоной географического буфера, границей, через которую проходит постоянный поток химических вществ, в т.ч. загрязнителей. Статья рассматривает современные экологические проблемы региона: уровни, основные тенденции загрязнения пестицидами и ПХБ, индикаторами высокого риска окружающей среды моря.
Research Interests:
Current MSc thesis focuses on the monitoring of seagrass P.oceanica along the northern coasts of Crete Island, Greece, and investigates the application of the remote sensing techniques for the seagrass mapping. This research was... more
Current MSc thesis focuses on the monitoring of seagrass P.oceanica along the northern coasts of Crete Island, Greece, and investigates the application of the remote sensing techniques for the seagrass mapping. This research was articulated in two parts, where the first one involves an ecological approach to the seagrass distribution in various regions around the globe and the experience of seagrass monitoring nowadays. The second part of this work has technical character and investigates the application of the remote sensing techniques towards seagrass mapping. It, furthermore, focuses on the optical properties of the P.oceanica and other seafloor cover types, and studies distinguishability of various seafloor cover types. Studies of the optical characteristics of separate seafloor cover types were made with purpose to clarify, whether their spectral properties change with varying environmental conditions. Special attention has been drawn on the role of environmental factors on the distribution of P.oceanica along the coasts of Crete, and in particular, how the optical properties of the seafloor cover types, i.e. spectral reflectance, are being changed under varying external conditions, e.g. water column, amount of suspended particles and sediments in the seawater, and water temperature. Fieldwork research sites were presented by separate locations on the northern coast of Crete region (Ligaria, Agia Pelagia, Xerocampos). The additional measurements of the reflectance spectra of the seawater with and without sediments have been made in aquarium tank in 2009 by means of Trios-RAMSES spectroradiometer. Parallel to the collection of spectra signatures, we captured the imagery for the seagrass mapping, which consists of the aerial images from the Google Earth website and the satellite Landsat TM and ETM+ scenes.
Research Interests:
Дипломная работа. В результате работы над дипломным проектом были созданы геоэкологические карты на акватории Баренцева и Печорского морей: Баренцево море: 1.Геоэкологическое районирование Баренцева моря; 2.Содержание Cs-137 в донных... more
Дипломная работа. В результате работы над дипломным проектом были созданы геоэкологические карты на акватории Баренцева и Печорского морей: Баренцево море: 1.Геоэкологическое районирование Баренцева моря; 2.Содержание Cs-137 в донных осадках Баренцева моря; 3.Распределение нефтеуглеводородов в донных осадках Баренцева моря; 4.Содержание пестицидов и тяжелых металлов в донных осадках Баренцева моря; 5.Содержание ПХБ в донных осадках Баренцева моря. Печорское море:1.Геоэкологическое районирование Печорского моря; 2.Распределение очагов нефтеобразования в донных отложениях Печорского моря; 3.Содержание Cs-137 в донных осадках Печорского моря; 4.Распределение суммарных биомасс диатомей в прибрежной части Печорского моря. При составлении данных карт были изучены общие географические условия акваторий, распространение и особенности отдельных элементов геосистем и процессы переноса вещества между элементами окружающей среды, а также проанализирована их значимость, степень их воздействия на общее экологическое состояние окружающей среды. При этом было акцентировано внимание не только на констатации самого факта загрязнения окружающей среды, но и изучены причины поступления загрязняющих веществ в Баренцево и Печорское моря из различных источников, возможные пути переноса и осаждения тяжелых металлов, пестицидов, нефтяных углеводородов и радионуклидов и других контаминантов по направлению с суши в реки, эстуарии, дельты и на континентальный шельф; в результате было проанализировано итоговое состояние экологической ситуации региона. На итоговых геоэкологических картах были определены зоны сосредоточения загрязняющих веществ (т.е. зоны схождения путей переноса контаминантов) и осаждения загрязняющих веществ в донные отложения. В результате, в рамках дипломной работы были составлены как аналитические и комплексные карты, отражающие взаимосвязи компонентов геосистем, так и карты геоэкологического районирования, которые являюся синтетическими по типологической классификации. Геоэкологические карты были созданы на завершающем этапе работы, являсь итоговой оценкой настоящей, сложившейся на данный этап ситуации изучаемых акваторий.
Research Interests:
Ускорение научно-технического прогресса, основанное на внедрении в учебный процесс в ВУЗах, науку и в производство компьютеров, автоматизированных систем, устройств программного управления и обрабатывающих центров, поставило перед... more
Ускорение научно-технического прогресса, основанное на внедрении в учебный процесс в ВУЗах, науку и в производство компьютеров, автоматизированных систем, устройств программного управления и обрабатывающих центров, поставило перед
современной педагогической наукой Высшей школы важную задачу в воспитании и подготовке студентов географических факультетов, которые способны активно включиться в качественно новый этап развития естественных наук (в частности,
географических дисциплин), связанный с информатизацией.
Решение вышеназванной задачи коренным образом зависит как от технической оснащенности ВУЗов компьютерами с соответствующим периферийным
оборудованием, учебным, демонстрационным оборудованием и программным обеспечением, так и от готовности студентов к восприятию постоянно возрастающего потока пространственной (гео-) информации, их осведомленности и профессионального владения средствами геоинформационных технологий – Географическими Информационными Системами (здесь и везде далее сокращенно - ГИС). Этим объясняется актуальность выбранной темы настоящей аттестационной работы.
современной педагогической наукой Высшей школы важную задачу в воспитании и подготовке студентов географических факультетов, которые способны активно включиться в качественно новый этап развития естественных наук (в частности,
географических дисциплин), связанный с информатизацией.
Решение вышеназванной задачи коренным образом зависит как от технической оснащенности ВУЗов компьютерами с соответствующим периферийным
оборудованием, учебным, демонстрационным оборудованием и программным обеспечением, так и от готовности студентов к восприятию постоянно возрастающего потока пространственной (гео-) информации, их осведомленности и профессионального владения средствами геоинформационных технологий – Географическими Информационными Системами (здесь и везде далее сокращенно - ГИС). Этим объясняется актуальность выбранной темы настоящей аттестационной работы.
Research Interests:
These slides present a case study on landslide risk assessment for National Civil Protection Management in Low Austria. The research has been performed using ArcGIS-based approach. Research goal consists in improving the national... more
These slides present a case study on landslide risk assessment for National Civil Protection Management in Low Austria. The research has been performed using ArcGIS-based approach. Research goal consists in improving the national landslide disaster control by evaluating the expected number of people affected by landslides. Research aim is to assess potential risk and estimate economic damage caused by landslides. Study area is focused on the Ybbs valley, Lower Austria. The research was done using Arc GIS-based spatial analysis and estimation of the potential monetary losses caused by landslides. The technical approach consists in the geospatial and economic data processing by Arc GIS using spatial and economic analysis. Methodology includes defining the elements at risk located in the risk zone of 100 m near landslides, and assessment of the potential consequences. The presented results included calculated possible losses caused by the destruction of immobility and transport, such as costs for buildings demolition, restoration, roads rebuilding, debris transport, excavation and removal in the study area.
Research Interests: Civil Engineering, Landscape Ecology, Cartography, Earth Sciences, Environmental Science, and 15 moreGeomorphology, Computer Science, Education, Remote Sensing, Sustainable Development, Geoinformatics, Natural Hazards, Financial Risk Management, Ecology, Risk Management, Environmental Sustainability, Landslides, Mapping, Geological Hazards, and Geographic Information Systems (GIS)
This work presents a case study of floods in Bangladesh using GIS analysis and deep learning. Floods are the natural hazard with the globe coverage and high frequency. Flood risk management involves segments of water use (potable water,... more
This work presents a case study of floods in Bangladesh using GIS analysis and deep learning. Floods are the natural hazard with the globe coverage and high frequency. Flood risk management involves segments of water use (potable water, industrial use, irrigation, recreation, energy production) and analysis. Flood risk analysis is computed in terms of the risk equation using parameters of hazard, vulnerability, exposure and capacity. Flood correlates with large-scale events and climate change which results in multi-hazard scenarios. The major reasons of flood include climate factors such as heavy rainfall. Second factor is hydrological and geological capacities of water permeability when land surface lacks the capacity to convey excess water. Flooding can also result from other phenomena, storm surge, tropical cyclone, tsunami, high tide. There are diverse flood types including riverine floods, flash floods, urban floods, glacial lake outburst floods and coastal floods (climatic and non-climatic processes cause these different types of floods).
Research Interests: Earth Sciences, Environmental Science, Computer Science, Artificial Intelligence, Education, and 15 moreRemote Sensing, Machine Learning, Flood Risk Management, Sustainable Development, Sustainable Water Resources Management, Flood Mitigation, Environmental Sustainability, Bangladesh, Remote sensing and GIS, Flood Forecasting, Flood modelling, Programming, Deep Learning, Flood Mangement, and Geographic Information Systems (GIS)
This project addresses the challenges of vectorising the old seismograms which revitalise the existing archives by R2V algorithms using ML methods. Challenge of big data in seismic studies: massif volumes of historical seismograms from... more
This project addresses the challenges of vectorising the old seismograms which revitalise the existing archives by R2V algorithms using ML methods. Challenge of big data in seismic studies: massif volumes of historical seismograms from ROB exist and present a source of information. Archive old data must be processed, digitised and ‘revitalised’. In this view, this research contributes to these goals by presenting the developed automated ML methods of vectorising seismograms with minimised human interaction and maximised programming approach in trace vectorisation.
Research Interests: Geophysics, Computer Science, Algorithms, Programming Languages, Computer Vision, and 15 moreImage Processing, Machine Learning, Signal Processing, Data Analysis, Digitization, Digital Signal Processing, Image Analysis, Seismology, Seismic Engineering, Computer Programming, Programming, Deep Learning, Classification, Earthquake Seismology, and Big Data
My professional portfolio briefly summarizes my skills in in Cartography and Remote Sensing. It includes the selected examples of my works on RS data processing, including satellite image processing, cartographic modelling using DEM and... more
My professional portfolio briefly summarizes my skills in in Cartography and Remote Sensing. It includes the selected examples of my works on RS data processing, including satellite image processing, cartographic modelling using DEM and terrain data, case studies on thematic mapping and modelling Earth Observation (EO) data. The illustrations are copied from my published papers.
Research Interests: Cartography, Earth Sciences, Computer Science, Programming Languages, Education, and 13 moreImage Processing, Remote Sensing, Spatial Analysis, Data Analysis, Geoinformatics, Satellite remote sensing, Python, Geo-spatial analysis with GIS and GPS, Remote sensing and GIS, Digital Image Processing, Programming, Earth Observation, and Geographic Information Systems (GIS)
This presentation shows the case of digitising old historical scanned seismograms into vector format. The original paper-based seismograms in TIFF format were obtained from the archives of Royal Observatory of Belgium (ROB), Department of... more
This presentation shows the case of digitising old historical scanned seismograms into vector format. The original paper-based seismograms in TIFF format were obtained from the archives of Royal Observatory of Belgium (ROB), Department of Seismology & Gravimetry. The data were recorded in 1954 by the Galitzine seismometer in Uccle station, Belgium. The aim was to digitise large archive of the old paper-based seismograms from ROB quickly, accurately and automatically. The data were processed using automatic computer-based methods of digitising and vectorising raster formats. The advantages of the machine learning (ML)/ deep learning (DL) methods are discussed and the case study is presented. Challenge of big data in seismic studies consists in the massif volumes of historical seismograms which exist in ROB and present a source of valuable information for geophysics. These archive old data must be processed, digitised and ‘revitalised’. This study contributed to the development of methods of signal processing by ML methods.
Research Interests: Mathematics, Earth Sciences, Geophysics, Computer Science, Algorithms, and 15 moreProgramming Languages, Computer Vision, Education, Machine Learning, Data Analysis, Seismology, Programming, Applied Geophysics, Automation, Deep Learning, Earthquake Seismology, Big Data, Data Structures, Seismic analysis and design, and Data Format
This presentation deas with the problem of careeer building and perspectives in Germany. The problem discussed is that today's working life is complex and complicated which makes it difficult to find a way in working life. The main... more
This presentation deas with the problem of careeer building and perspectives in Germany. The problem discussed is that today's working life is complex and complicated which makes it difficult to find a way in working life. The main question discussed is on existing dilemma for young people today - careers or training? The reviewed statistics revealed existing variety of careers in Germany. Sources of information of finding the possibilities for about possible careers are discussed. Besides, factors the that influence career choice are discussed (e.g., personal interests, talents, well-paid jobs, advice from parents/friends/teachers, advertising). The statistics on the career choices of girls and boys in Germany is compared. Quantitative importance of vocational training is illustrated in the statitstical tables (reported statistics for 15-year-old German young people). The conclusion includes questions on what profession do students want to work, which vocational training they prefer, e.g., social norms and young people's expectations, and how they build career path with the goal of a constant development.
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This presentation describes current state of tourism development in Belgium.
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This presentation proposes research on mapping landscapes of Africa using remote sensing data: detecting spatio-temporal environmental dynamics from the satellite images. The presentation is held on 13 June at the University of Salzburg.... more
This presentation proposes research on mapping landscapes of Africa using remote sensing data: detecting spatio-temporal environmental dynamics from the satellite images. The presentation is held on 13 June at the University of Salzburg. The presented research covers the problem of extracting knowledge and information from Earth Observation (EO) data which requires advanced technical cartographic tools. In particular, I presented the use of methods of machine learning (ML) and algorithms deep learning (DL) as well as scripting approaches to geospatial data handling. The concept of the study: Landscapes of Africa. Research focus: land surface of the African continent where diverse environmental processes interplay. Understanding landscape dynamics requires modelling and mapping the complexity of factors that affect the shape of the Earth using advanced methods of EO data processing. Landscape dynamics was analysed on several case study that demonstrate the evaluation of spatio-temporal changes caused by human and natural forces across various countries of Africa. Applications of landscape ecology and environmental monitoring of Africa were discussed on the example of landscape monitoring. Possible applications include land management (urban planning), diverse goals of sustainable development (food resources, agriculture) and theoretical issues of cartography and geoinformatics. Factors affecting formation of landscapes are reviewed in the published papers. These incldue geologic-tectonic setting, climate processes, anthropogenic activities in various countries across the African continent which is notable for different relief, soil and vegetation setting.
Research Interests: Geography, Cartography, African Studies, Earth Sciences, Environmental Science, and 14 moreGeophysics, Programming Languages, International Relations, Education, Remote Sensing, Climate Change, Africa, Geoinformatics, Environmental Sustainability, Remote sensing and GIS, Programming, Mapping, Geospatial Information Science, and Geographic Information Systems (GIS)
Accurate and rapid big spatial data processing by scripting cartographic algorithms: advanced seafloor mapping of the deep-sea trenches along the margins of the Pacific Ocean
Research Interests: Environmental Engineering, Geography, Cartography, Earth Sciences, Geology, and 15 moreOceanography, Computer Science, Education, Computer Engineering, Machine Learning, Remote Sensing (Earth Sciences), Environmental Sustainability, Big Data, Natural Sciences, Big Data Analytics, Computer Vision, Behaviour Modelling, Deep Learning, Big Data / Analytics / Data Mining, Big Data Visualisation, Machine Learning Big Data, and Big Data Technologies
Morphostructure features of the deep-sea trenches in the Pacific Ocean: the problem of their origin
Research Interests: Environmental Engineering, Ocean Engineering, Geography, Cartography, Geology, and 15 moreGeomorphology, Oceanography, Computer Science, Education, Machine Learning, Data Mining, Data Analysis, Tectonics, Mathematical Modelling, Environmental Sustainability, Machine Design, Scripting, Geological mapping, Big Data, and Oceanology
This research is presented at the job interview in the University of Rostock. Originally based on author's MSc thesis (2009-2011) summarizing research in marine observations using remote sensing and GIS methods. Study object is seagrass... more
This research is presented at the job interview in the University of Rostock. Originally based on author's MSc thesis (2009-2011) summarizing research in marine observations using remote sensing and GIS methods. Study object is seagrass Posidonia oceanic (P. oceanica) along the coast of Crete, Greece. The most important facts about seagrass: endemic Mediterranean seagrass, P. oceanica is a main species in marine coastal environment of Greece. P. oceanica is the largest, the most widespread, homogeneous, dense “mattes” forming meadows between 5-40 m in Mediterranean Sea. Seagrass is a component of coastal ecosystems of high importance for the marine life, playing important functions in the marine environment. Seagrasses are subjects to external factors and therefore have environmental vulnerability. The study area is located in General research area: Island of Crete, Greece. Seagrass sampling will be performed at three stations at a depth of 6-7 m: Heraklio, Agia Pelagia, Xerokampos, Crete Island, Greece. The general research objectives of the MSc research includes GIS and environmental analysis: 1) Mapping the extent of the spatial distribution of seagrass P. oceanica along the northern coast of Crete; 2) Monitoring environmental changes in seagrass meadows in the selected fieldwork sites (Agia Pelagia, Xerokampos) over the 10-year period (2000-2010). There are various multi-sources data proposed for using in spatial analysis. data of the previous measurements received during the last year fieldwork, to analyze whether P.oceanica is spectrally distinct from other sea floor types, using differences in the spectral signatures on the graphs in a WASI, the Water Color Simulator software. Other data include satellite images from the open sources (Landsat TM), aerial images, Google Earth; underwater videographic measurements of 3 cameras Olympus ST 8000 made during the ship route (20 total in the selected areas of the research places) resulting in series of consequent images, covering area under the boat path; in-situ measurements of the seagrass in selected spots, using measurement frame and other devices for marine biological research for the validation of the results. Arc GIS vector layers of Crete island and surroundings (.shp files). Hypothesis testis is performed by ANOVA, SPSS. The results of WASI spectral analysis illustrating graphs of the spectral reflectance of different sea floor types (sand, P.oceanica, rocky, etc) at various depths (0.5-4 m), based on the results of 20. Precise, correct and up-to-date information about the seagrass distribution over the coasts is necessary for the sustainable conservation of marine environment.
Research Interests: Environmental Engineering, Geography, Physical Geography, Environmental Science, Computer Science, and 15 moreComputer Vision, Education, Educational Technology, Remote Sensing, Spatial Analysis, Climate Change, Data Mining, Climate Change Adaptation, Environmental Studies, Sustainable Development, Energy and Environment, Environmental Sustainability, Geo-spatial analysis with GIS and GPS, Data Analytics, and Geographic Information Systems (GIS)
Geothermal energy is a clean, environmentally friendly, renewable resource that provides energy around the world. Heat flowing constantly from the interior of the Earth ensure to be an inexhaustible supply of energy. However, existing... more
Geothermal energy is a clean, environmentally friendly, renewable resource that provides energy around the world. Heat flowing constantly from the interior of the Earth ensure to be an inexhaustible supply of energy. However, existing traditional sources of energy, such as oil and gas are still popular nowadays. Current paper gives an example of environmentally danger of these sources of energy. The given example of oil and gas operations within the shelf and the coast of the Barents Sea and Pechora Sea causes contamination of waters by phenol and its accumulation in the bottom sediments and life tissues of the marine habitants. At the same time, ecosystems of the south-eastern part of the Barents Sea and Pechora Sea are characterized by their high biodiversity and high level of primary production. The last one is the fundamental biological characteristics for the marine ecosystems meaning the formation of the organic substance in the water by the chlorophyll-contains organisms: phytoplankton. The primary production plays an exceptional role in the functionality of the marine ecosystem's components. Therefore, presentation gives some brief ideas on the importance of the 'green', eco-friendly sources of energy and a need for the constant development in the environmental protection of our planet. The presentation was given at the International Conference 'Geoenergy' in Grozny (Chechnya), Russia, 19 June 2015.
Research Interests: Environmental Engineering, Geography, Environmental Science, Computer Science, Environmental Economics, and 15 moreEducation, Educational Technology, Environmental Education, Social Sciences, Climate Change, Science Education, Renewable Energy, Environmental Studies, Sustainable Development, Energy, Environmental Management, Energy and Environment, Sustainable Water Resources Management, Environmental Sustainability, and Geographic Information Systems (GIS)
Current presentation discusses question of the Chinese culture and among others, painting, calligraphy and opera. Painting and calligraphy are of the same origin and are regarded as two treasured arts in China. They are both liked with... more
Current presentation discusses question of the Chinese culture and among others, painting, calligraphy and opera. Painting and calligraphy are of the same origin and are regarded as two treasured arts in China. They are both liked with free movement and distribution of lines in expression. Together with music and chess, they formed the four skills for a learned scholar to pursue in ancient China. They have also been held as a good exercise to temper one’s character and cultivate one’s personality. Chinese painting has a long history and excellent tradition. Through thousands of years, it has developed its own style, its own techniques, and a complete system of art which expresses the aesthetics of the nation. Through its unique style and features, it has established supremacy in the world of art, Chinese painting emphasizes the point that “Inspiration comes from close observation and understanding of Nature.” Traditional Chinese painting is the art of painting on a piece of Xuan paper or silk with a Chinese brush that was soaked with black ink or colored pigments. It is regarded as one of the three “quintessence of Chinese culture”. Chinese paintings are usually in the form of hanging pictures or of horizontal scrolls, in both cases they are normally kept rolled up. The latter paintings, often of great length, are unrolled bit by bit and enjoyed as a reader enjoys reading a manuscript.There is no fixed or standard viewpoint or perspective. Chinese painting is far less concerned with notions of symmetry, balance and proportion than its European counterpart. Because it lacks a single focal point, Chinese artists are free to paint on long strips of paper (or silk) and can compose pieces of amazing complexity in a rather comic book-like manner.Artists could paint a whole chain of pictures to depict continuous scenery. Many pictures include objects that are both far away and near, but they are depicted as being of the same size. It is more likely that the artists were trying to paint life exactly as they saw it. The presentation was held at OUC, 2017.
Research Interests: History, Cultural History, Cultural Studies, Philosophy of Science, Art History, and 15 moreEducation, Performing Arts, Design, Social Sciences, Cultural Heritage, Visual Culture, Painting, Culture, China, History of Art, China studies, Contemporary China, Visual Arts, Chinese Calligraphy, and Calligraphy
This presentation introduces research on using geoinformation technologies for education at universities. A case study is ArcGIS 9.1. Specifically, it presents a methodology of effective teaching of a group of students based on ArcGIS.... more
This presentation introduces research on using geoinformation technologies for education at universities. A case study is ArcGIS 9.1. Specifically, it presents a methodology of effective teaching of a group of students based on ArcGIS. Several ArcGIS modules are presented and their functionality reviewed and highlighted: ArcGIS Spatial Analyst, ArcScene, ModelBuilder, ArcMap, ArcCatalog. Technical questions of how to better explain students data processing, data converting and modelling using ArcGIS are discussed and better pedagogical solutions are proposed. The presentation also briefly reviews the advantages of using ArcGIS by different groups of students studying at various specializations: geomorphology, cadaster, hydrology, economic geography. In this way it is stressed that using a highly functional GIS software such as ArcGIS should be learned not only by cartographers but also to wider audience of students. Presented at Lomonosov Moscow State University, Faculty of Educational Studies as a graduation works for additional qualification 'University Teacher', Moscow, Russia, 2007. The presentation is given in Russian language with a TOC summary in English.
Research Interests: Environmental Engineering, Geography, Human Geography, Environmental Science, Computer Science, and 15 moreEconomic Geography, Philosophy of Science, Education, Educational Technology, Social Sciences, Science Education, Data Mining, Database Systems, Higher Education, Educational Research, Political Science, ICT in Education, Environmental Sustainability, Remote sensing and GIS, and Geographic Information Systems (GIS)
Research points: to measure components and linkages of legal obligations undertaken by the actors involving cross-border gas supply chain; to investigate possibility to establish a legal structure for promoting security of gas supply... more
Research points: to measure components and linkages of legal obligations undertaken by the actors involving cross-border gas supply chain; to investigate possibility to establish a legal structure for promoting security of gas supply chain; to examine consequences of gas supply chain for government and companies; to analyze legal structures (international-domestic-contract law): entitlement vs. state responsibility as requirements for functioning/enforcing obligation chain.
Research Interests: Environmental Engineering, Geography, Computer Science, Education, Educational Technology, and 13 moreSocial Sciences, Science Education, Renewable Energy, Political Science, Sustainable Development, Energy, Oil and Gas Law, Energy and Environment, Oil and gas, Environmental Sustainability, Energy efficiency, Oil and Gas Drilling Engineering, and Sustainability
The seminar presentation demonstrates research on land cover analysis in western Estonia. Study area is Pärnu region located on the western part of the country, along the coasts of Baltic Sea. The region is a valuable environmental part... more
The seminar presentation demonstrates research on land cover analysis in western Estonia. Study area is Pärnu region located on the western part of the country, along the coasts of Baltic Sea. The region is a valuable environmental part and a unique recreational area of Estonia. The presentation consists of two parts. The fist part presents technical workflow of the image processing by means of GIS and Lansat TM satellite imagery. Methodology is base don Arc GIS 10.0 and IDRISI GIS Andes 15.0 for image processing. The aim is to detect land cover changes using image classification by 'ISOCLUST'. Raster images processing and classification was applied for Landsat TM two images. The ISOCLUST is an unsupervised classification method in IDRISI GIS. It performs image processing workflow in semi-automatically regime. Results include 16 land cover types typical for the study area classified and visualized on the images. In 2006 the urban area became larger than in 1992 (land cover class "3" on the histogram. This can be explained by various reasons. Changes in land cover types in selected Estonian landscapes are shown on the statistical histograms on 1992 and 2006. The second part presents social analysis of the current development of tourism and recreation on Baltic Sea coasts with discussion of new directions and perspectives. Notable natural settings include mild marine climate condition and precious coniferous forests. Presentation briefly discusses historical development of the tourism in the country and gives directions on its modern development caused by active socio-economic changes since 1990s. The research is methodologically based on the author's fieldwork in the study area, literature review and analysis of the statistical graphs of the socio-economic data. The study presents photos of the Estonian landscapes.
Research Interests: Geography, Cartography, Environmental Science, Computer Science, Philosophy of Science, and 15 moreTourism Studies, Education, Environmental Education, Social Sciences, Remote Sensing, Data Mining, Environmental Studies, Data Analysis, Political Science, Sustainable Development, Environmental Sustainability, Remote sensing and GIS, Tourism, Mapping, and Geographic Information Systems (GIS)
Current presentation summarizes spatial analysis studies of Taipei urban growth using ENVI GIS based image classification. The presentation consists in two parts. The first part describes the city, urban and social settings and gives a... more
Current presentation summarizes spatial analysis studies of Taipei urban growth using ENVI GIS based image classification. The presentation consists in two parts. The first part describes the city, urban and social settings and gives a brie history of the development in 20th century. The second part is focused don the GIS based technical description of the algorithms of image analysis: classification of the multi-temporal Landsat TM series of the selected stud area of Taipei, Taiwan. Methodology aims at spatio-temporal analysis of urban dynamics in study area during 15 years (1990-2005). Research objective: application of geoinformatic tools, remote sensing data and application of methodology to spatial analysis for urban studies, a case study of Taipei. Current presentation consists in 2 parts: 1) Overview of the environmental research problem, urbanization and characteristics of Taipei. Consequences of urban sprawl for the global cities, such as Taipei; 2) Detailed technical description of the GIS part: remote sensing data capture, pre-processing, algorithm processing, image classification and spatial analysis. The spatial analysis performed by means of GIS ENVI enabled to use satellite images for social and urban studies. The spatio-temporal analysis was applied to Landsat TM images taken at 1990 and 2005. Built-in functions of the mathematical algorithms (K-means) enabled to process raster Landsat TM images and to derive information from them.
Research Interests: Environmental Engineering, History, Geography, Human Geography, Urban Geography, and 15 moreEnvironmental Science, Computer Science, Education, Educational Technology, Social Sciences, Data Mining, Database Systems, Higher Education, Data Analysis, Political Science, Social History, Environmental Sustainability, Remote sensing and GIS applications in Landscape Research, Computational Mathematics, and Geographic Information Systems (GIS)
Current presentation introduces an analysis of the land use and current environmental situation of the Tian Shan region. Tian Shan (the ’Celestial Mountains’) is the largest high mountain systems (800,000 km2) in the World.... more
Current presentation introduces an analysis of the land use and current environmental situation of the Tian Shan region. Tian Shan (the ’Celestial Mountains’) is the largest high mountain systems (800,000 km2) in the World. geopolitically, Tian Shan is located in the heart of Central Asia. It crosses five densely populated countries: China, Kazakhstan, Kyrgyzstan, Uzbekistan and Tajikistan. Tian Shan regions has unique ecosystems, Shrenk mountain forests and endemic species. Tian Shan is composed by large, isolated mountains, surrounded by the Tarim desert basin of north-western China, Lake Issyk Kul and deserts of Uzbekistan and Kazakhstan. Tian Shan region is outstanding for the richness of natural resources, landscapes and ecosystems. Rare species: ca 70 % of species (both animal and plants) have specific south Asian distribution, typical for steppe and desert ecosystems. The ecosystems include numerous protected and rare species (over 4000 wild species), relicts and endemics, unique coniferous forests, rich biodiversity. The slopes of the Tian Shan mountains at altitudes 2000 to 3000m are mostly covered by precious coniferous forests of Schrenk’s Spruce (Picea schrenkiana), recorded in the International Union for Conservation of Nature (IUCN) Red List of Threatened Species. At the same time, the region has environmental problems such as overgrazing, deforestation, decreased species composition, soil depletion and erosion, desertification and land degradation. Current presentation demonstrates and discusses these problems.
Research Interests: Environmental Engineering, Landscape Ecology, Geography, Environmental Science, Computer Science, and 15 morePhilosophy of Science, Education, Forestry, Environmental Education, Social Sciences, Teacher Education, Data Mining, Environmental Studies, Data Analysis, Political Science, Environmental Management, Ecology, Biodiversity, Forest Ecology, and Environmental Sustainability
The presentation demonstrates a technical case study of the image processing by ILWIS GIS. Study area is located in the southwestern, agricultural part of Hungary (Mecsek Hills foothill area). The landscapes of the Mecsek region represent... more
The presentation demonstrates a technical case study of the image processing by ILWIS GIS. Study area is located in the southwestern, agricultural part of Hungary (Mecsek Hills foothill area). The landscapes of the Mecsek region represent a unique part of the Hungarian environment belonging to the Carpathian basin. However, changes in the land cover types were detected recently caused by various environmental reasons. Study aim was to compare changes in the land cover types and landscape dynamics. 3 Landsat TM images have a temporary gap of 14 years (1992-2006). The gap aimed to assess vegetation changes in the summer months (June). The study includes following methodological steps: 1) Data collection: 3 Landsat TM images; 2) Data import and conversion. 3) Data preprocessing: scenes of 1992, 1999 and 2006. 4) Making color composites from 3 Landsat TM spectral channels (multi-band layers). 5) Image segmentation and classification (clustering). 6) GIS mapping and spatial analysis. 7) Google Earth snapshot verification. 8) Results interpretation. Results analysis shown changes in the selected area detected by ILWIS GIS image classification.
Research Interests: Landscape Ecology, Geography, Computer Science, Philosophy of Science, Education, and 15 moreImage Processing, Social Sciences, Machine Learning, Data Mining, Data Analysis, Political Science, Sustainable Development, Geoinformatics, Ecology, Environmental Sustainability, Remote sensing and GIS, Digital Image Processing, Landsat TM, Surveying and Geoinformatics, and Geographic Information Systems (GIS)
The presentation introduces using LaTeX and GitHub for data sharing, distribution and updating in graduate research. The questions of using, advantages and functionality of GitHub, a web-service for hosting (i.e. serving and maintenance)... more
The presentation introduces using LaTeX and GitHub for data sharing, distribution and updating in graduate research. The questions of using, advantages and functionality of GitHub, a web-service for hosting (i.e. serving and maintenance) of IT-projects online, are discussed and screenshots of the projects are presented. The main advantages in using GitHub consists in the fact that Github allows control latest changes, discuss and discuss work with students, post comments into the text using syntax coloring add online comments. This enables to effectively collaborate for a group of students of to supervise a research thesis. Technical illustrations of the git config command of GitHub area presented. Command ’git init’ is an initiation of the project from scratch. Command ’git add files’ - selecting all files for the project. (texts, tables, graphs, maps, figures). Advantages of LaTeX for thesis writing consists in its a built-in flexible system of bibliographic cross-referencing in the list of references, which enables making automatic linking to the bib sources, as well as updating links. Examples of structuring text in a thesis by LaTeX and GitHub are presented. Mark up language was used to highlight text when writing codes with a high level of nesting, allowing to quickly navigate over the work. The presentation has a technical and methodological character and introduces using IT tools, GitHub and LaTeX in academic environments.
Research Interests: Geography, Physical Geography, Environmental Science, Computer Science, Computer Vision, and 15 moreEducation, Educational Technology, Computer Engineering, Machine Learning, Data Mining, Environmental Studies, Data Analysis, Energy and Environment, Environmental Sustainability, Educación, Computers, LaTeX, Big Data, Geographic Information Systems (GIS), and GitHub
Current presentation introduces a MSc thesis defense. The research focuses on the P. oceanica, an endemic species of the seagrass in Mediterranean Sea. Study area is Crete Island, Greece. The goal of this study is to analyse optical... more
Current presentation introduces a MSc thesis defense. The research focuses on the P. oceanica, an endemic species of the seagrass in Mediterranean Sea. Study area is Crete Island, Greece. The goal of this study is to analyse optical properties of the seagrass P. oceanica and other seafloor types (carbonate sand), and to apply remote sensing techniques for seagrass mapping in the selected locations of northern Crete. Analyzing spectral reflectance of the P. oceanica and other seafloor cover types by means of tools Radiative Transfer Model (RTM) using Water Color Simulator (WASI). Other technical tools included ArcGIS and Erdas Imagine GIS software, Gretle for plotting and statistical analysis, SPSS for ANOVA based Hypothesis testing. Data include spectral measurements of the seagrass optical properties by Trios-RAMSES (Hyperspectral radiometers for measuring optical properties of water), Google Earth aerial images, Landsat TM scenes. Fieldwork measurements were done using iPAQ data and GPS records, SCUBA equipment. Optical properties of the water columns were tested : spectral reflectance, radiance, irradiance. Characteristics reflect current chemical content and physical specifics of the water with and without sediments. Results of this research proved that P. oceanica is spectrally distinct from other seafloor types (carbonate sand) at varying environmental conditions, as well as from other seagrass species (Thalassia testudinum). The RTM software is a useful tool for analyzing spectral signatures of various seafloor types enabling simulations of data received from the broadband and narrowband remote sensors. Application of the RS data from the broadband sensors is highly advantageous for the seagrass mapping. Spectral discrimination of P. oceanica from other seafloor cover types is possible at diverse and changing environmental conditions (water column height). Maps, graphics and imagery are provided. Current presentation contains 72 slides. Defended at University of Twente, Faculty of Earth Observation and Geoinformation (ITC), Enschede, Overijssel Province, the Netherlands on March 8, 2011.
Research Interests: Environmental Engineering, Geography, Environmental Science, Computer Science, Education, and 15 moreSocial Sciences, Data Mining, Research Methodology, Qualitative methodology, Data Analysis, Sustainable Development, Geoinformatics, Ecology, Environmental Sustainability, Remote sensing and GIS, Seagrass, Thesis, Seagrass ecology, Digital mapping, and Geographic Information Systems (GIS)
This research proposal introduces MSc thesis research. Study object is seagrass Posidonia oceanic (P. oceanica) along the coast of Crete, Greece. The most important facts about seagrass: endemic Mediterranean seagrass, P. oceanica is a... more
This research proposal introduces MSc thesis research. Study object is seagrass Posidonia oceanic (P. oceanica) along the coast of Crete, Greece. The most important facts about seagrass: endemic Mediterranean seagrass, P. oceanica is a main species in marine coastal environment of Greece. P. oceanica is the largest, the most widespread, homogeneous, dense “mattes” forming meadows between 5-40 m in Mediterranean Sea. Seagrass is a component of coastal ecosystems of high importance for the marine life, playing important functions in the marine environment. Seagrasses are subjects to external factors and therefore have environmental vulnerability. The study area is located in General research area: Island of Crete, Greece. Seagrass sampling will be performed at three stations at a depth of 6-7 m: Heraklio, Agia Pelagia, Xerokampos, Crete Island, Greece. The general research objectives of the MSc research includes GIS and environmental analysis: 1) Mapping the extent of the spatial distribution of seagrass P. oceanica along the northern coast of Crete; 2) Monitoring environmental changes in seagrass meadows in the selected fieldwork sites (Agia Pelagia, Xerokampos) over the 10-year period (2000-2010). There are various multi-sources data proposed for using in spatial analysis. data of the previous measurements received during the last year fieldwork, to analyze whether P.oceanica is spectrally distinct from other sea floor types, using the differences in the spectral signatures on the graphs in a WASI, the Water Color Simulator software. Other data include satellite images from the open sources (Landsat TM), aerial images, Google Earth; underwater videographic measurements of 3 cameras Olympus ST 8000 made during the ship route (ca 20 total in the selected areas of the research places) resulting in series of consequent images, completely covering the area under the boat path; in-situ measurements of the seagrass in selected spots, using measurement frame and other devices for marine biological research for the validation of the results. Arc GIS vector layers of Crete island and surroundings (.shp files). Hypothesis testis is formulated for the proposed research, questions defined, methods prepared and planned. The research work is expected to have following results : Over the northern coasts of Crete: thematic maps showing seafloor types and seagrass P.oceanica spatial distribution along the coasts of Crete. Within the fieldwork locations, Ligaria beach: monitoring the environmental changes, based on the classification of the satellite and aerial imagery and fieldwork video camera footage. Within the fieldwork locations : maps of the sea floor cover types, based on the fieldwork measurements and UVM. Results of the WASI spectral analysis illustrating graphs of the spectral reflectance of different sea floor types (sand, P.oceanica, rocky, etc) at various depths (0.5-4 m), based on the results of 20.Precise, correct and up-to-date information about the seagrass distribution over the coasts is necessary for the sustainable conservation of marine environment.
Research Interests: Marine Biology, Geography, Earth Sciences, Oceanography, Computer Science, and 15 moreEducation, Image Processing, Social Sciences, Coastal Management, Computer Engineering, Data Mining, Marine Ecology, Political Science, Sustainable Development, Ecology, Environmental Sustainability, Remote sensing and GIS, Protected areas, Seagrass ecology, and Geographic Information Systems (GIS)
Research problem focuses on studying dynamics of spatial distribution of the seagrass meadows with a case study of P. oceanica, using aerial and satellite imagery over the 10-years period. Characteristics of the spectral reflectance of... more
Research problem focuses on studying dynamics of spatial distribution of the seagrass meadows with a case study of P. oceanica, using aerial and satellite imagery over the 10-years period. Characteristics of the spectral reflectance of seagrass enables its discrimination from other seafloor types. Raster images processing using RS methods is suitable for seagrass mapping. Current MSc research is based on various sources of data: fieldwork in-situ measurements, satellite imagery, aerial imagery and GIS layers (maps of Crete). Technically, research is based on using GIS and RS methods: ENVI and ArcGIS software.
Research Interests: Marine Biology, Geography, Oceanography, Computer Science, Computer Vision, and 15 moreEducation, Image Processing, Social Sciences, Remote Sensing, Data Mining, Marine Ecology, Geoinformatics, Marine Science, Environmental Sustainability, Remote sensing and GIS applications in Landscape Research, Digital Image Processing, Fieldwork, Seagrass, Seagrass ecology, and Geographic Information Systems (GIS)
The emphasis of this research is to demonstrate application of Landsat satellite imagery as a major resource for environmental research using ILWIS GIS. Landsat images are highly useful and strongly recommended for educational purposes as... more
The emphasis of this research is to demonstrate application of Landsat satellite imagery as a major resource for environmental research using ILWIS GIS. Landsat images are highly useful and strongly recommended for educational purposes as they are provided free of charge and timely regular geospatial data with 30-m resolution covering any places of the Earth. The case study describes mapping land cover types in ecosystems. It details how exactly satellite images can be used for geospatial research step by step. In the current research I used orthorectified Landsat Thematic Mapper (TM), MSS and Enhanced Thematic Mapper (ETM+) data in Geographic Tagged Image-File Format (GeoTIFF) acquired over the area of Bovanenkovo region, Yamal. The images cover study area for different time periods. The choice of Landsat data application for land cover mapping is explained by its 30-m high spatial resolution, well-known advantages of application of the Landsat scenes in research and cartography, almost 40 year old history of the image record, successful distribution and open availability. Landsat scenes were selected for the pair analysis: Landsat TM scenes for 1988-08-07 and 2011-07-14 and Landsat ETM+, 2001. The research methodology is based spatial analysis tools of the open source GIS software: Quantum GIS and ILWIS GIS. The images were georeferenced, preprocessed and imported to ILWIS from .img into ILWIS .mpr raster map format (ASCII) using GDAL (Geospatial Data Abstraction Library) in main ILWIS. Minimal Distance method was sued to classify images. After converting, each image contained collection of 7 Landsat raster bands, as well as theirs metadata stored in Map List (.mpl) file, information about georeference (.grf) and coordinate system in .csy file. To visualize spectral information from the Landsat image, a color composite map has been created using combination of three raster images of the individual bands. Supervised classification of the raster imagery includes image analysis aimed at recognizing class membership for each pixel. The respective pixels are selected in Sample Set Editor, ILWIS GIS. The research method used in current research is supervised classification, which enabled to assign land cover classes by adjusting classification parameters and thresholds in DN values of spectral signature of pixels. The principle of Minimum Distance method, used for pixels classification is based on the calculating of shortest straight-line distance in Euclidian coordinate system from each pixel’s DN to the pattern pixels of land cover classes.
Research Interests: Environmental Engineering, Landscape Ecology, Geography, Human Geography, Physical Geography, and 15 moreEnvironmental Science, Computer Science, Education, Educational Technology, Environmental Education, Social Sciences, Science Education, Higher Education, Environmental Studies, Data Analysis, Ecology, Environmental Sustainability, Land-use planning, Remote sensing and GIS, and Geographic Information Systems (GIS)
Current study is focused on the GIS based spatial analysis of the land cover changes in the Šumava National Park, Czech Republic. The presentation includes overview of the environmental and biogeographical settings of the Šumava National... more
Current study is focused on the GIS based spatial analysis of the land cover changes in the Šumava National Park, Czech Republic. The presentation includes overview of the environmental and biogeographical settings of the Šumava National Park and gives detailed technical description of the workflow (GIS part): remote sensing data capture, pre-processing, algorithm processing, image classification and spatial analysis. The research has been technically done using Quantum GIS (QGIS). Methodologically, current research highlighted technical questions of remote sensing data processing, mapping and classification by means of QGIS. Research steps included: 1. collecting, organizing and sorting data; 2. studying, reading and analyzing relevant literature; 3. develop a GIS project and methodology for spatio-temporal analysis of the land cover types and mapping change detection; 4. mapping data land cover types for 1991 and 2009. Spatial and temporal analysis of the Landsat TM scenes taken at 1991 and 2009 was used for detecting changes in the land cover types. Classification of the images was used to analyze changes in the ŠNP area that consist in different geobotanical land cover types. The results of image processing demonstrate that structure, shape and configuration of landscapes in ŠNP changed since 1991.
Research Interests: Environmental Engineering, Geography, Earth Sciences, Environmental Science, Computer Science, and 15 moreEducation, Image Processing, Social Sciences, Remote Sensing, Data Mining, Environmental Studies, Data Analysis, Remote Sensing (Earth Sciences), Environmental Sustainability, Data Modeling, Educación, Data Science, Qualitative data analysis, Data Processing, and Geographic Information Systems (GIS)
Current research presents application of the ILWIS GIS for satellite image processing and classification aimed at land cover types mapping. Two images were classified and analysed. Changes in land cover types were detected for the time... more
Current research presents application of the ILWIS GIS for satellite image processing and classification aimed at land cover types mapping. Two images were classified and analysed. Changes in land cover types were detected for the time 1988 - 2011. The study area covers selected example regions of North Russia. Supervised classification of the raster imagery aims at recognizing of the class membership for each pixel during image analysis. The results demonstrate application of the ILWIS GIS approach of technical processing of the raster images and recognizing classes of the land cover types. The The Minimal Distance Classifier was used as an approach. due to its applicability, logical methodology and precision. The supervised classification of the multi-spectral imagery has been performed using 'Classify' operator in ILWIS GIS applied to Landsat TM 1988, 2001 and 2011. This work has a technical character of GIS applications for remote sensing (RS) data processing. It reports ILWIS GIS approach of the RS data processing Landsat TM satellite image using unsupervised and supervised classification methods. The methods of ILWIS GIS are compared and the results described. Presented at the 8th International Conference 'Prospects for the Higher School Development', Grodno State Agrarian University (GGAU) Grodno, Belarus, May 28-29 2015.
Research Interests: Geography, Physical Geography, Earth Sciences, Computer Science, Philosophy of Science, and 15 moreEducation, Image Processing, Social Sciences, Remote Sensing, Teacher Education, Data Mining, Data Analysis, Political Science, Sustainable Development, Remote Sensing (Earth Sciences), Sustainable Water Resources Management, Environmental Sustainability, Remote sensing and GIS applications in Landscape Research, Remote sensing and GIS, and Geographic Information Systems (GIS)
The geospatial work has been performed using combination of the Google Earth imagery, Landsat TM images and Erdas Imagine GIS software. The advantage of utilizing Google Earth scenes with Landsat TM satellite imagery, along with GIS... more
The geospatial work has been performed using combination of the Google Earth imagery, Landsat TM images and Erdas Imagine GIS software. The advantage of utilizing Google Earth scenes with Landsat TM satellite imagery, along with GIS techniques and methods, for inventorying land cover types has been demonstrated for landscape studies. Combination of land cover type characteristics and landscape changes enabled to analyse landscape dynamics, as well as applicability of Google Earth service for thematic mapping. The used data included Landsat TM and ETM+ multi-band imagery covering area in Izmir, western Turkey. The image processing was per- formed using supervised classification in Erdas Imagine software. The Google Earth web service technologies were applied to test the accuracy of mapping via the available module of Erdas Imagine «Linking with Google Earth».
Research Interests: Geography, Earth Sciences, Environmental Science, Computer Science, Education, and 15 moreDevelopment Studies, Image Processing, Social Sciences, Computer Engineering, Data Mining, Data Analysis, Sustainable Development, Energy and Environment, Remote Sensing (Earth Sciences), Sustainable Water Resources Management, Environmental Sustainability, Remote sensing and GIS applications in Landscape Research, Remote sensing and GIS, Digital Image Processing, and Geographic Information Systems (GIS)
The presentation shows research focused on environmental monitoring of Izmir land cover types. Izmir is the 3rd largest and most populous city in Turkey, industrial city, significant center of trade and industry, major seaport of... more
The presentation shows research focused on environmental monitoring of Izmir land cover types. Izmir is the 3rd largest and most populous city in Turkey, industrial city, significant center of trade and industry, major seaport of strategic importance. Therefore, region is experiencing strong anthropogenic load. At the same time, Izmir area has high ecological significance. Research focused on satellite image processing using Erdas Imagine. Main research question is: did landscapes change within the test area of the Izmir region in the last 13 years (1987-2000)? Data include Landsat TM images for 1987 and 2000. Two Landsat TM images with a time difference of 13 years covering study area were classified and compared, changed in land cover types detected. Current research contributed towards methodological application of Erdas Imagine software for satellite image processing aimed at environmental monitoring and mapping.
Research Interests: Environmental Engineering, Geography, Environmental Science, Education, Environmental Education, and 14 moreImage Processing, Data Mining, Environmental Studies, Data Analysis, Environmental Management, Energy and Environment, Environmental Sustainability, Remote sensing and GIS applications in Landscape Research, Remote sensing and GIS, Digital Image Processing, Geosciences, Data Structures, Civil and Environmental Engineering, and Geographic Information Systems (GIS)
This work aimed to give an example of the effective use of the GitHub web service specifically in an academic environment. The case stud was given to a MSc thesis that was written completely using LaTeX and GitHub. The presentation... more
This work aimed to give an example of the effective use of the GitHub web service specifically in an academic environment. The case stud was given to a MSc thesis that was written completely using LaTeX and GitHub. The presentation illustrated how specifically one can apply new technologies and innovative approaches in the educational environment. Traditional for IT industry and programmers, GitHub offers great opportunities for effective collaboration such as 'student-supervisor' or 'group of students' or 'group of colleagues'. Unlike traditional programs, the use of innovative technologies of text editors, such as LaTeX and data archiving such as GitHub allows supervisor to monitor student’s research progress. A great advantage of GitHub consists in its color syntax and maintaining history of updates versions. This presentation demonstrated general conceptual principles of the Github and LaTeX. Some technical issues of running project, creating repositories, making updates, adding new files to the system are demonstrated with a series of screenshot illustrations of the process. Some important features and advantages of working with Github and LaTeX in the academic environment are listed and discussed. The possibilities for collaborative data sharing, research progress updating and creative works are illustrated. Current work is a technical illustration of using IT in education.
Research Interests: Information Systems, Environmental Science, Computer Science, Programming Languages, Information Science, and 15 moreHuman Computer Interaction, Information Technology, Education, Educational Technology, Social Sciences, Teacher Education, Science Education, Data Mining, Higher Education, Data Analysis, Information Communication Technology, ICT in Education, Data Security, IT Project Management, and Data Structures
The presentation reports testing Idrisi GIS methods of raster images processing using Idrisi GIS software. Supervised and unsupervised methods of image classification are tested and presented: Maximal Likelihood (MAXLIKE) algorithm and... more
The presentation reports testing Idrisi GIS methods of raster images processing using Idrisi GIS software. Supervised and unsupervised methods of image classification are tested and presented: Maximal Likelihood (MAXLIKE) algorithm and Minimal Distance (MINDIST) algorithm. The raster images cover period of 20 years 1984, 11 July, 1992 and 2003, 17 August. MAXLIKE approach evaluates the standard deviation of the reflectance values above the mean. The slowest technique but more accurate classification (provided the training sites are good). MINDIST approach is the simplest and fastest method of all classifiers. However, prone to incorrect classifications. The results show changes in the land cover types since 1984 in the test area of Sudetes, Poland. Current work reports detected changes in land cover types using Idrisi GIS and technical questions of satellite image analysis and processing.
Research Interests: Environmental Engineering, History, Landscape Ecology, Geography, Environmental Science, and 15 moreComputer Science, Education, Image Processing, Social Sciences, Data Mining, Research Methodology, Environmental Studies, Data Analysis, Sustainable Development, Ecology, Modeling and Simulation, Environmental Sustainability, Digital Image Processing, Data Processing, and Land Use/ Land Cover Dynamics and LULc Modeling
The emphasis of this research is to demonstrate application of Landsat satellite imagery as a major resource for student and educational research. Landsat images are highly useful and strongly recommended for educational purposes as they... more
The emphasis of this research is to demonstrate application of Landsat satellite imagery as a major resource for student and educational research. Landsat images are highly useful and strongly recommended for educational purposes as they are provided free of charge and timely regular geospatial data with 30-m resolution covering any places of the Earth. The case study describes mapping land cover types in ecosystems. It details how exactly satellite images can be used for geospatial research step by step. In the current research I used orthorectified Landsat Thematic Mapper (TM), MSS and Enhanced Thematic Mapper (ETM+) data in Geographic Tagged Image-File Format (GeoTIFF) acquired over the area of Bovanenkovo region, Yamal. The images cover study area for different time periods. The choice of Landsat data application for land cover mapping is explained by its 30-m high spatial resolution, well-known advantages of application of the Landsat scenes in research and cartography, almost 40 year old history of the image record, successful distribution and open availability. Landsat scenes were selected for the pair analysis: Landsat TM scenes for 1988-08-07 and 2011-07-14 and Landsat ETM+, 2001. The research methodology is based spatial analysis tools of the open source GIS software: Quantum GIS and ILWIS GIS. The images were georeferenced, preprocessed and imported to ILWIS from .img into ILWIS .mpr raster map format (ASCII) using GDAL (Geospatial Data Abstraction Library) in main ILWIS. Minimal Distance method was sued to classify images. After converting, each image contained collection of 7 Landsat raster bands, as well as theirs metadata stored in Map List (.mpl) file, information about georeference (.grf) and coordinate system in .csy file. To visualize spectral information from the Landsat image, a color composite map has been created using combination of three raster images of the individual bands. Supervised classification of the raster imagery includes image analysis aimed at recognizing class membership for each pixel. The respective pixels are selected in Sample Set Editor, ILWIS GIS. The research method used in current research is supervised classification, which enabled to assign land cover classes by adjusting classification parameters and thresholds in DN values of spectral signature of pixels. The principle of Minimum Distance method, used for pixels classification is based on the calculating of shortest straight-line distance in Euclidian coordinate system from each pixel’s DN to the pattern pixels of land cover classes.
Research Interests: Environmental Engineering, Geography, Earth Sciences, Environmental Science, Computer Science, and 15 moreEducation, Environmental Education, Social Sciences, Data Mining, Environmental Studies, Data Analysis, Regional development, Energy and Environment, Environmental Sustainability, Remote sensing and GIS applications in Landscape Research, Remote sensing and GIS, Data Modeling, Education for Sustaunable Development, Data Processing, and Geographic Information Systems (GIS)
The research focus is comparison of two environmental precious areas of Poland: first, Bialowieza, a World Heritage Site located in north east-central Poland; second, Sudety Mountains. Presentation discusses some environmental and... more
The research focus is comparison of two environmental precious areas of Poland: first, Bialowieza, a World Heritage Site located in north east-central Poland; second, Sudety Mountains. Presentation discusses some environmental and geographical issues of this unique region of Eastern Europe. Brief historical development of Belovezhskaya Pushcha is provided from 14th century when the areas was used as a hunting reserve until now, when the Bialowieza become internationally recognized as a Biosphere Reserve under UNESCO Man and the Biosphere Program. Examples of the dominant communities and precious vegetation types are provided. Karkonosze Mountains are a part of the Sudety Mountains, a Nature Protection (Karkonoski Park Narodowy, KPN), created in 1959. Karkonosze Mountains – the highest and largest area in Sudety. This mountainous region belongs to most valuable landscapes and natural regions in Central Europe. The presentation contains photos made by author during the fieldwork, part of GEM MSc studies at Warsaw University.
Research Interests: Environmental Engineering, History, Landscape Ecology, Geography, European Studies, and 15 moreEnvironmental Science, Computer Science, Education, Social Sciences, Conservation Biology, Conservation, Environmental Studies, Political Science, Sustainable Development, Heritage Conservation, Ecology, Biodiversity, Environmental Sustainability, Protected areas, and Geographic Information Systems (GIS)
This presentation gives a brief introduction to the Russia and Moscow, its capital. It describes the most important facts concerning culture, geography, cuisine, achievements in science and technologies and architecture. Specifically, it... more
This presentation gives a brief introduction to the Russia and Moscow, its capital. It describes the most important facts concerning culture, geography, cuisine, achievements in science and technologies and architecture. Specifically, it briefly describes achievements in space and polar exploration, shows beauty of various architectural styles in Moscow, demonstrates some examples of the Russian cuisine, arts (ballets, music). Presented at the local seminar at National Taiwan University, Taipei, China. The aim was to introduce Russian culture and geography to the students. The presentation shows and informs about some important facts on the Russian Federation and its capital, Moscow.
Research Interests: History, Geography, Social Geography, Russian Studies, Environmental Science, and 15 moreArt History, Education, Development Studies, Architecture, Dance Studies, Sustainable Development, Culture, Environmental Sustainability, Dance, Russia, Ballet, Moscow, Cuisine, Architecture and Public Spaces, and Subway
Current presentation demonstrates technical use of ENVI GIS for processing Landsat TM images. Spatial analysis performed by ENVI GIS enabled to process satellite images for urban studies. A case study is Taipei city, Taiwan, China.... more
Current presentation demonstrates technical use of ENVI GIS for processing Landsat TM images. Spatial analysis performed by ENVI GIS enabled to process satellite images for urban studies. A case study is Taipei city, Taiwan, China. Spatio-temporal analysis was applied to Landsat TM images taken at 1990 and 2005. Built-in functions of the mathematical K-means algorithm enabled to classify Landsat TM images and to derive information on land cover types. Image classification was used to analyse land cover changes in Taipei which includes built-up areas and natural green areas. Results of image processing and spatial analysis show changes in structure, shape and configuration of urban landscapes in Taipei since 1990. Areas occupied by human activities increased, while natural landscapes undergone modifications. Changes in urban landscapes of Taipei are caused by the increased relocation of population, urbanization and occupied lands for urban needs.
Research Interests: Geography, Cartography, Computer Science, Computer Vision, Education, and 15 moreEducational Technology, Image Processing, Social Sciences, Remote Sensing, Science Education, Geoinformatics, Environmental Sustainability, Remote sensing and GIS, Digital Image Processing, Mapping, Digital mapping, Surveying and Geoinformatics, Landsat-7 ETM +, Land Use/ Land Cover Dynamics and LULc Modeling, and Geographic Information Systems (GIS)
Current research is focused on analysis of the urban dynamics in Taipei urban landscapes, Taiwan. It describes recent trends and directions in the urban city sprawl, urban growth and city sprawl affects ecosystems. Consequences of human... more
Current research is focused on analysis of the urban dynamics in Taipei urban landscapes, Taiwan. It describes recent trends and directions in the urban city sprawl, urban growth and city sprawl affects ecosystems. Consequences of human impacts include various factors among others: landscape degradation, changes in land cover and land use types, decrease in biodiversity richness within the city, deforestation, urbanization, and wetlands destruction, decrease in species, losses of rare and extinct species. The research discussed land cover/use problem in the rapidly development city. Because of the concentrated population density and environmental pressure within the limited geographic space and resources, the city of Taipei deals with specific urban environmental problems.
Research Interests: Environmental Engineering, Landscape Ecology, Geography, Human Geography, Environmental Science, and 15 moreComputer Science, Education, Educational Technology, Environmental Education, Image Processing, Social Sciences, Environmental Studies, Sustainable Development, Environmental Management, Energy and Environment, Environmental Sustainability, Remote sensing and GIS applications in Landscape Research, Landscape, Land Use/ Land Cover Dynamics and LULc Modeling, and Geographic Information Systems (GIS)
Current presentation demonstrates environmental analysis of the landscapes in Estonia, Eastern Europe. Methods include the use of Arc GIS 10.0 and IDRISI GIS Andes 15.0 for image processing. Research aim is to detect land cover changes... more
Current presentation demonstrates environmental analysis of the landscapes in Estonia, Eastern Europe. Methods include the use of Arc GIS 10.0 and IDRISI GIS Andes 15.0 for image processing. Research aim is to detect land cover changes using method of image classification 'ISOCLUST'. The raster processing GIS approach and classification was applied towards Landsat TM two images. The ISOCLUST is an unsupervised classification method in IDRISI GIS performs the most of the image processing workflow in semi-automatically regime. The study also reports photos of the Estonian landscapes. Results include 16 land cover types typical for the study area classified and visualized on the images. In 2006 the urban area became larger than in 1992 (land cover class "3" on the histogram. This can be explained by various reasons. Changes in land cover types in selected Estonian landscapes are shown on the statistical histograms on 1992 and 2006.
Research Interests: Landscape Ecology, Geography, Environmental Science, Computer Science, Environmental Education, and 15 moreImage Processing, Social Sciences, Data Mining, Environmental Studies, Data Analysis, Sustainable Development, Environmental Management, Image Analysis, Ecology, Sustainable Tourism, Environmental Sustainability, Remote sensing and GIS, Digital Image Processing, Geographic Information Systems (GIS), and Sustainability
The presentation shows using Erdas Imagine software for processing remote sensing data with a case study of Landsa TM images classified to detected land cover types in Aegean region, west Turkey. Two images were processed using Erdas... more
The presentation shows using Erdas Imagine software for processing remote sensing data with a case study of Landsa TM images classified to detected land cover types in Aegean region, west Turkey. Two images were processed using Erdas Imageine, classified and changes in landscapes compared. The functionality of the 'connect to Google Earth' was activated in Erdas Imagine menu that enabled to visualize the same region of the current study on the Google Earth in a simultaneous way with Landsat TM. The selected areas with the most diverse landscape structure and high heterogeneity of the land cover types, have been verified by the overlapping of the Google Earth aerial images. Current paper has a technical contribution towards GIS/RS data processing, methods and algorithms. The presentation is demonstrated at Voronezh State University, Russia, 2015.
Research Interests: Landscape Ecology, Geography, Earth Sciences, Environmental Science, Computer Science, and 15 moreEducation, Educational Technology, Image Processing, Social Sciences, Data Mining, Environmental Studies, Data Analysis, Political Science, Sustainable Development, Ecology, Sustainable Water Resources Management, Environmental Sustainability, Remote sensing and GIS applications in Landscape Research, Digital Image Processing, and Geographic Information Systems (GIS)
Presented research is focused on the spatial analysis aimed at the assessment of the environmental changes in the landscapes of Izmir surroundings, Turkey. Methods include Landsat TM images classification using Erdas Imagine, clustering... more
Presented research is focused on the spatial analysis aimed at the assessment of the environmental changes in the landscapes of Izmir surroundings, Turkey. Methods include Landsat TM images classification using Erdas Imagine, clustering segmentation and classification, verification via the Google Earth and GIS Mapping. Tme span is 13-years (1987-2000). Images were taken from the Global Land Cover Facility (GLCF) Earth Science Data Interface. The selected area of Izmir has the most diverse landscape structure and high heterogeneity of the land cover types. Accuracy results computed. Kappa statistics for the image 2000: 0.7843, for the image 1987: 0.7923. The classification of the image 1987: accuracy 81.25%, 2000: 80,47%. The results indicate changes in land cover types affected by human activities, i.e. increased agricultural areas. Results include following findings. 1987: croplands (wheat) covered 71% of the today’s area (2000): 2382 vs. 3345 ha. Increase in barley cropland areas is noticeable as well: 1149 ha in 1987 vs. 4423 ha in 2000. Sparsely vegetated areas now also occupy more areas : 5914 ha in 2000 against 859 ha in 1987. Natural vegetation, decreased, which can be explained by the expansion of the agricultural lands. 1987: coppice areas covered 5500 ha while later on there are only 700 ha in this land type.
Research Interests: Landscape Ecology, Geography, Earth Sciences, Environmental Science, Computer Science, and 15 moreEducation, Image Processing, Social Sciences, Data Mining, Higher Education, Environmental Studies, Data Analysis, Sustainable Development, Ecology, Sustainable Water Resources Management, Environmental Sustainability, Remote sensing and GIS applications in Landscape Research, Remote sensing and GIS, Land Use/ Land Cover Dynamics and LULc Modeling, and Geographic Information Systems (GIS)
The presentation describes problem of flooding in Bangladesh: Bangladesh belongs the countries that are affected by flooding the most. The work presents natural hazards happening in Bangladesh, frequent natural disasters causing loss of... more
The presentation describes problem of flooding in Bangladesh: Bangladesh belongs the countries that are affected by flooding the most. The work presents natural hazards happening in Bangladesh, frequent natural disasters causing loss of life, damage to infrastructure and economic assets, impacts on lives and livelihoods. Floods, tropical cyclones, storm surges and droughts are likely to become more frequent and severe in the coming years. Bangladesh lies in the delta of three of the largest rivers in the world – the Brahmaputra, the Ganges and the Meghna and is notable for frequent floods. Social factors are compared. Hence, during the flood hazard the following population groups are at risk: 1) the poor, 2) poor-healthy, 3) women. These groups will suffer much more disproportionately than the group of well-being and healthy men, more so in the coastal and rural areas than elsewhere. The presentation is supported by illustrations, maps and graphs. Presented at the University of Southampton, 2009.
Research Interests: Geography, Environmental Science, Computer Science, Education, Southeast Asian Studies, and 15 moreEnvironmental Education, Social Sciences, Flood Risk Management, Environmental Studies, Political Science, Sustainable Development, Water resources, Southeast Asia, Environmental Management, Sustainable Water Resources Management, Flood Mitigation, Environmental Sustainability, Flood Forecasting, Flood modelling, and Geographic Information Systems (GIS)
Presentation shows an application of ILWIS GIS for RS data processing with a case study of detecting land cover changes during 20-year period (1988-2011) in Yamal Peninsula, Arctic. Research goals: Distribution of different types of... more
Presentation shows an application of ILWIS GIS for RS data processing with a case study of detecting land cover changes during 20-year period (1988-2011) in Yamal Peninsula, Arctic. Research goals: Distribution of different types of landscapes in the wetland tundra of the Yamal Peninsula; Monitoring changes in the landscapes of tundra; Analysis of the landscape dynamics for 2 decades (1988-2011). Data include 2 satellite images: Landsat TM for 1988 and 2011. Methods include clustering, segmentation and classification. Technical approach: Landsat TM data processing by ILWIS GIS. Methods: Supervised classification of Landsat TM images. Results demonstrated changes in selected land cover types. Study area: tundra landscapes in the wetlands of the Yamal Peninsula in the Far North of Russia. Statistical results of calculations of types of vegetation cover were obtained in a semi-automatic mode in ILWIS GIS. In 1988 ’willow shrubs’ type covered 412,292 pixels from the total part of the AOI, and ’high willow’ class is 823,430 pixels. 2011: willow increased to 651427 pixels, (’willow shrubs’), and 893092 pixels (’high willows’). Both combined classes of willows, typical for AOI with a high water content, cover total 1544519 pixels, which is 40.27 %. Area of grasses decreased compared to shrub and willow. Max area covered by class ’heather and dry grass’ is 933798 pixels
Research Interests: Environmental Engineering, Landscape Ecology, Geography, Human Geography, Cartography, and 15 morePhysical Geography, Environmental Science, Computer Science, Social Sciences, Visualization, Machine Learning, Data Mining, Database Systems, Environmental Studies, Data Analysis, Environmental Sustainability, Remote sensing and GIS applications in Landscape Research, Remote sensing and GIS, Digital mapping, and Geographic Information Systems (GIS)
Current presentation is an application of R programming language for geostatistical data processing. The impact of the geographic location and geological factors on its geomorphology has been studied by methods of statistical analysis and... more
Current presentation is an application of R programming language for geostatistical data processing. The impact of the geographic location and geological factors on its geomorphology has been studied by methods of statistical analysis and data visualization using R libraries. Research aim is to identify main impact factors affecting variations in the geomorphology of the Mariana Trench: steepness angle and structure of the sediment compression. Research focus is upon understanding variability of factors responsible for the deep ocean trench formation and comparative analysis of its geomorphic structure. It contributes towards investigations of the geology of the Pacific Ocean and the interplay between geomorphic, geological, tectonic and volcanic factors affecting submarine landform formation.To study a complex system as Mariana Trench, an objective method combining various approaches (statistics, R, GIS, descriptive analysis and graphical plotting) was performed.
The methodology includes following steps:
• Data capture in GIS, vector thematic data were processed in QGIS: tectonics, bathymetry, geomorphology and geology.
• Programming on R language • statistics
• descriptive analysis • graphical plotting
• Geospatial comparative analysis of variables by 4 tectonic plates
The methodology includes following steps:
• Data capture in GIS, vector thematic data were processed in QGIS: tectonics, bathymetry, geomorphology and geology.
• Programming on R language • statistics
• descriptive analysis • graphical plotting
• Geospatial comparative analysis of variables by 4 tectonic plates
Research Interests: Geography, Environmental Science, Geology, Oceanography, Computer Science, and 15 moreProgramming Languages, Artificial Intelligence, Education, Image Processing, Social Sciences, Remote Sensing, Machine Learning, Environmental Geology, Environmental Studies, Data Analysis, Political Science, Sustainable Development, Environmental Sustainability, Data Structures, and Geographic Information Systems (GIS)
GIS and RS application for environmental studies of Yamal Calculation of NDVI Monitoring vegetation changes in tundra landscapes Analysis of the vegetation dynamics in the past two decades (1988-2011). Data: Landsat TM scenes for 1988,... more
GIS and RS application for environmental studies of Yamal Calculation of NDVI Monitoring vegetation changes in tundra landscapes Analysis of the vegetation dynamics in the past two decades (1988-2011). Data: Landsat TM scenes for 1988, 2001 and 2011 Originality: Application of ILWIS GIS spatial analysis tools and Landsat imagery Area: Bovanenkovo region in Yamal Peninsula, Russian Extreme North.
Research Interests: Landscape Ecology, Sociology, Geography, Earth Sciences, Environmental Science, and 15 moreComputer Science, Education, Image Processing, Social Sciences, Data Mining, Data Analysis, Sustainable Development, Geoinformatics, Sustainable Water Resources Management, Environmental Sustainability, Remote sensing and GIS applications in Landscape Research, Land-use planning, Geo-spatial analysis with GIS and GPS, Remote sensing and GIS, and Geographic Information Systems (GIS)
Current work presents environment of the Masurian Lakeland and Biebrza National Park (BNP): wetland ecosystems of the North-Eastern Poland. Uniqueness of the biodiversity ii tne area, richness of species diversity and rare types of... more
Current work presents environment of the Masurian Lakeland and Biebrza National Park (BNP): wetland ecosystems of the North-Eastern Poland. Uniqueness of the biodiversity ii tne area, richness of species diversity and rare types of species are described. Special focus is given to beavers, example of rare species of the European environment. European beavers (Castor fiber) are particular examples of the Masurian ecosystems. Environmental problems are briefly discussed: changes of land cover types (encroachment of reeds, willows and birch), habitat drain. Uniqueness of the Masuria Lakeland is highlighted. Thus, the Red Bog is the 2nd biggest raised bog in Poland. The BNP is included into the European Ecological NATURA 2000 network & protecting system. For many of bird, mammals and vegetation species BNP is one of the last places for living that still exist in Europe. BNP has the biggest population of Elks (ca 600 individuals). more tan 1000 different types of vascular plants species (including rare orchids Lady’s Slipper). BNP is a precious environmentally protected region os Poland, Europe.
Research Interests: Environmental Engineering, Landscape Ecology, Geography, Earth Sciences, Environmental Science, and 15 moreComputer Science, Education, Social Sciences, Data Mining, Conservation Biology, Environmental Studies, Data Analysis, Sustainable Development, Biology, Ecology, National Parks, Sustainable Water Resources Management, Environmental Sustainability, Poland, and Nature
The presentation highlights current development of tourism and recreation on Baltic Sea coasts with discussion of new directions and perspectives. The region of Study area is Pärnu area located on the western part of the country, along... more
The presentation highlights current development of tourism and recreation on Baltic Sea coasts with discussion of new directions and perspectives. The region of Study area is Pärnu area located on the western part of the country, along the coasts of Baltic Sea. The region is a valuable environmental part and a unique recreational area of Estonia. Notable natural settings include mild marine climate condition and precious coniferous forests. Presentation briefly discusses historical development of the tourism in the country and gives directions on its modern development caused by active socio-economic changes since 1990s. The research is methodologically based on the author's fieldwork in the study area, literature review and analysis of the statistical graphs of the socio-economic data.
Research Interests: History, Sociology, Geography, Human Geography, Cultural Geography, and 15 moreEuropean Studies, Environmental Science, Computer Science, Economic Geography, Tourism Studies, Education, Social Sciences, Baltic Studies, Sustainable Development, Human Resource Management, Baltic Sea Region Studies, Sustainable Tourism, Environmental Sustainability, Tourism, and Estonia
Current presentation reports Mid-Term progress of the PhD research. Research Goals: Investigating the geology and submarine geomorphology of the Pacific trenches.Technical improving and testing of the advanced algorithms of geodata... more
Current presentation reports Mid-Term progress of the PhD research. Research Goals: Investigating the geology and submarine geomorphology of the Pacific trenches.Technical improving and testing of the advanced algorithms of geodata analysis. Applying innovative methods in cartographic data visualization and mapping. Developing techniques of the automatic digitizing of the cross-section profiles. Sequential data processing & modelling by QGIS, Python, R, GMT, AWK, Octave. Automatisation in geological data analysis aims at: precision and reliability of the results, increased speed of the data processing, accuracy and precision of the data modelling, crucial for the big data processing common for geological field marine observations. Geospatial analysis to identify variations and to highlights correlations between the geomorphic shape of the trenches (slope steepness gradient, depth ranges). Research Object: Deep-sea trenches of the Pacific Ocean. Research Focus. Submarine geomorphology of the trenches: comparative analysis of their structure. Seafloor bathymetry of the trenches: modelling spatial variations of their patterns. Impact factors affecting trench formation: highlighting their variability. Research Techniques. Methods: data analysis, processing, visualization, statistical modelling, cartographic mapping, 3D and 2D simulation models, graphical plotting. Tools: Generic Mapping Tools (GMT); QGIS plugins; statistical libraries of the programming languages: Python, R, Matlab/Octave and AWK. Presentation includes visulaized maps, preliminary statistical results and discussions.
Research Interests: Environmental Engineering, Mining Engineering, Geography, Cartography, Physical Geography, and 15 moreEarth Sciences, Geology, Computer Science, Statistics, Education, Educational Technology, Spatial Analysis, Visualization, Machine Learning, Data Mining, Higher Education, Environmental Sustainability, Remote sensing and GIS, Big Data, and Geographic Information Systems (GIS)
Presentation reports current research progress. Specifically, it shows an application of R programming language for geostatistical data processing and other methods (QGIS, Python, etc). The impact of the geographic location and geological... more
Presentation reports current research progress. Specifically, it shows an application of R programming language for geostatistical data processing and other methods (QGIS, Python, etc). The impact of the geographic location and geological factors on its geomorphology has been studied by methods of statistical analysis and data visualization using R libraries. Research aim is to identify main impact factors affecting variations in the geomorphology of the Mariana Trench: steepness angle and structure of the sediment compression. Research focus is upon understanding variability of factors responsible for the deep ocean trench formation and comparative analysis of its geomorphic structure. It contributes towards investigations of the geology of the Pacific Ocean and the interplay between geomorphic, geological, tectonic and volcanic factors affecting submarine landform formation.
Research Interests: Geography, Physical Geography, Earth Sciences, Geology, Oceanography, and 14 moreComputer Science, Artificial Intelligence, Education, Educational Technology, Science Education, Machine Learning, Marine Geology, Statistical Analysis, Geoinformatics, Statistical machine learning, R programming language, Statistical Techniques in Spatial Analysis, Geographic Information Systems (GIS), and Computer Science and Engineering
Methods of GIS mapping of environmental of the Barents and Pechora Seas under the influence of both natural and anthropogenic factors have been devised. For integrated GIS project of the Russian Artic Seas several thematic layers have... more
Methods of GIS mapping of environmental of the Barents and Pechora Seas under the influence of both natural and anthropogenic factors have been devised. For integrated GIS project of the Russian Artic Seas several thematic layers have been created. These layers characterize the natural conditions of the Seas, the information on income of pollutants from different sources, possible ways of their transfer and deposition in bottom sediments. The analysis of the maps of geoecological situation of the Barents and Pechora Seas allows picking out the next geoecological regions: relatively safe, potentially dangerous and of high ecological stress.
Research Interests:
The presentation focuses on the monitoring changes in Russian tundra landscapes and distribution of various land cover types in Yamal Peninsula, Russia, during the past two decades. Specific climate and environmental settings of the study... more
The presentation focuses on the monitoring changes in Russian tundra landscapes and distribution of various land cover types in Yamal Peninsula, Russia, during the past two decades. Specific climate and environmental settings of the study area facilitate seasonal flooding, active erosion processing, permafrost distribution and local landslide formation. Technically, the research has been performed using ILWIS GIS applied for satellite images comparative analysis using GIS supervised classification methods.
Research Interests:
Research focuses on monitoring landscapes downgrading in specific conditions of Arctic ecosystems with cold climate conditions (marshes, permafrost, high humidity and moisture). Specific case study: cryogenic landslides typical for cold... more
Research focuses on monitoring landscapes downgrading in specific conditions of Arctic ecosystems with cold climate conditions (marshes, permafrost, high humidity and moisture). Specific case study: cryogenic landslides typical for cold environments with permafrost. Area: Yamal Peninsula. Aim: analysis of the environmental changes caused by cryogenic landslides in northern land- scapes affecting sensitive Arctic ecosystems. Thaw of the permafrost layer causes destruction of the ground soil layer and activates cryogenic landslide processes. After disaster, vegetation coverage needs a long time to recover, due to the sensitivity of the specific northern environment, and land cover types change. ILWIS GIS was used to process 2 satellite images Landsat TM taken at 1988 and 2011, to assess spatiotemporal changes in the land cover types. Research shown ILWIS GIS based spatial analysis for environmental mapping.
Research Interests: Geography, Physical Geography, Earth Sciences, Environmental Science, Computer Science, and 15 moreInformation Science, Education, Educational Technology, Image Processing, Social Sciences, Remote Sensing, Climate Change, Teacher Education, Science Education, Data Mining, Environmental Studies, Science, Environmental Sustainability, Remote sensing and GIS, and Geographic Information Systems (GIS)
Current poster presents an example of Landsat TM image processing using ENVI GIS. Research area: Taipei, Taiwan. Located on the north of the island, Taipei is Taiwan’s core urban, political and economic center; population >2.6 M... more
Current poster presents an example of Landsat TM image processing using ENVI GIS. Research area: Taipei, Taiwan. Located on the north of the island, Taipei is Taiwan’s core urban, political and economic center; population >2.6 M continuing to expand affecting urban landscapes. Research aim: spatio- temporal analysis of urban dynamics in study area during 15 years (1990- 2005) Research objective: application of GIS methodology and remote sens- ing data to spatial analysis for a case study of Taipei. Data: Landsat TM images taken from the USGS. Software: ENVI GIS. Workflow includes following steps: 1) Preliminary processing 2) Creation color composites 3) Classification using K-means algorithm 4) Mapping using classification results 5) Accuracy assessment. The preliminary data processing includes image contrast stretching, which is useful as by default, ENVI displays images with a 2\% linear contrast stretch. For better contrast the histogram equalization contrast stretch was applied to the image in order to enhance the visual quality. The analysis of landscape changes was performed by geospatial analysis. 2 satellite images Landsat TM were processed and classified using ENVI GIS. Result of classification: areas occupied by different land cover types were calculated and analyzed. It has been detected that different parts of the city of Taipei were developing with different rate and intensity. 3 different residential types of the city were recognized and mapped. The results demonstrated following outcomes: 1) intensive urban development of the city of Taipei; 2) decline of green areas and natural spaces and, on the contrary, increase in anthropogenic urban spaces; 3) not parallel urban development in different districts of the city of Taipei during the 15-year period of 1990-2005.
Research Interests: Environmental Engineering, Earth Sciences, Environmental Science, Computer Science, Information Technology, and 15 moreEducation, Image Processing, Social Sciences, Teacher Education, Science Education, Data Mining, Environmental Studies, Data Analysis, Science, Energy and Environment, Environmental Sustainability, Remote sensing and GIS applications in Landscape Research, Remote sensing and GIS, Digital Image Processing, and Geographic Information Systems (GIS)
The study focuses on the semi-automatic detection of the vegetation on the satellite panchromatic image covering area of Brussels, Belgium. Using functions of the Normalized Difference Vegetation Index (NDVI) and spectral reflectane... more
The study focuses on the semi-automatic detection of the vegetation on the satellite panchromatic image covering area of Brussels, Belgium. Using functions of the Normalized Difference Vegetation Index (NDVI) and spectral reflectane parameters of the image, the vegetation was identified on the satellite scene. The research question was to assess, how NDVI measurements can be used for urban studies using remote sensing data. The aim is to distinguish and separate on the map built-up areas from the green spaces (parks, gardens, etc) within the urban landscape. The research is supported by the raster imageand the eCognition software for image analysis. The results show detected vegetation areas in eastern part of Brussels. The research demonstrated methodological applicability of eCognition software for GIS-based urban mapping and ecological assessment (areas and sizes of vegetation coverage).
Research Interests: Environmental Engineering, Geography, Human Geography, Earth Sciences, Environmental Science, and 15 moreComputer Science, Information Science, Education, Educational Technology, Environmental Education, Image Processing, Social Sciences, Higher Education, Environmental Studies, Political Science, Science, Environmental Sustainability, Remote sensing and GIS, Digital Image Processing, and Geographic Information Systems (GIS)
This poster is a student assignment for a course 'GISA 02 GIS: Geographical Information Systems - Advanced Course 0701', a part of the MSc studies. It presents an ArcGIS based spatial analysis of the Victoria Lake region including... more
This poster is a student assignment for a course 'GISA 02 GIS: Geographical Information Systems - Advanced Course 0701', a part of the MSc studies. It presents an ArcGIS based spatial analysis of the Victoria Lake region including environmental, biological, social and economic characteristics of the region. The methodology includes data organizing and management in ArcGIS 9.3. Operations and technique: ArcGIS Spatial Analyst. Project architecture: ArcCatalog. Spatial referencing and re-projection: ArcToolbox. Data include DEMs: elevations (USGS). 2 tiles of the USGS DEM, Land cover data (raster), Population data: UNEP, ArcGIS vector.shp files of administrative boundaries fof Uganda, Tanzania, Kenya. Data preprocessing include following data preparation. Initial vector data: UNEP .shp. Spatial reference properties: Africa Albers Equal Area Conic projection, standard parallels 20 and -23, central meridian 25 and Datum WGS-84, Projection GEOGRAPHIC, Spheroid CLARKE1866. Data conversion from ASCII text data format to raster using ArcToolbox / Conversion Tools / ASCII to Raster (Climate precipitation data). Data were projected, processed and several layer formatting and overlays were created. Mapping was created using ArcMap. Victoria Lake has unique environment, important role in the economy of countries supporting 25 M people through fish catchment reaching up to 90-270$ per capita per annum. Kenya, Tanzania and Uganda control 6%, 49% and 45% of the lake surface. Lake catchment provides livelihood of 1/3 of the population of 3 countries with agricultural economy supported by fishing and agriculture (tea and coffee plantations). Quality of the environment is a fundamental factor in maintaining and increasing living standards of the population. Main problem is sustainable development, well-balanced between using natural resources and human economic progress. Essential factors in this problem are population and natural resources management. Following research tasks are performed: Computing how much cropland is needed by 2030. Areas of cropland were estimated using statistics of the raster layer Land cover. Amount of crop per capita was computed by dividing total cropland in each country and total population. Estimation of cropland needed in 2030: multiplying crop per capita needed for the total population by 2030. How much forest can be converted to cropland from protected areas ? Clipped vector layer of the protected areas was converted to raster using Spatial Analyst / Vector to Raster. New raster was re-classified to one class. Land cover raster layer was multiplied to the Protected areas layer. After calculation, raster of Land Cover for the territory of protected area zones was received. Areas for each country were calculated. Outside and inside located areas were estimated by subtraction those areas from the total for each country: Tanzania, Kenya and Uganda. Results: computed areas of cropland needed in 2030: Kenya – 248,778 km2. Tanzania – 991,469km2; Uganda - 153,992 km2. Percentage converted to cropland in 2030 (from the total forest area): Kenya – 370%; Tanzania – 148%; Uganda - 618%. Amount of forests can be converted to cropland from the protected zones: Inside protected areas: Kenya: 9km2; Tanzania –1025 km2; Uganda - 15km2; Outside protected areas: Kenya – 795km2; Tanzania – 6484km2; Uganda - 242km2. Conclusion. Sustainable development: prerequisite for successful environmental monitoring in the Victoria Lake. Economic development model: 1) resource-saving technologies; 2) planting and protecting forests areas; 3) environmental policy and conservation.
Research Interests: Environmental Engineering, Geography, Cartography, African Studies, Environmental Science, and 15 moreComputer Science, Education, Educational Technology, Social Sciences, Environmental Studies, Political Science, Sustainable Development, Ecology, Environmental Sustainability, Remote sensing and GIS applications in Landscape Research, Remote sensing and GIS, Mapping, Digital mapping, Geographic Information Systems (GIS), and Sustainability
Current poster presents a student assignment for the CHRIS/PROBA image processing by ENVI GIS. Study Area: Thorney Island, Chichester harbour (UK): unique wetland environment, a place for rare bird colonies. Quality of CHRIS images is... more
Current poster presents a student assignment for the CHRIS/PROBA image processing by ENVI GIS. Study Area: Thorney Island, Chichester harbour (UK): unique wetland environment, a place for rare bird colonies. Quality of CHRIS images is affected by two types of noises: vertical noise (vertical stripes; can be corrected by comparing values of neighbouring pixels) and horizontal noise (easy to detect and correct using the horizontal profile of each file. Correction of noises can be made through DIELMO 3D Methodology. PROBA (Project for On-Board Autonomy) and CHRIS (Compact High Resolution Imaging Spectrometer) image was taken with characteristics: 18 bands, 07/10/2004, 17m ground resolution. To obtain a good-quality natural-coloured image of wetlands a need: nadir-taken colour CHRIS image with bands combination of corresponding spectral channels was selected and processed. Comparing images taken at +55° dgr (47A2_41) and nadir images (479F_41) right Images taken at the nadir are of good quality, while those at different angles have defects: Images taken at +36° dgr (47A0_41), left and nadir images (479F_41) right. Images taken at +36° and-36° (CHRIS 47A0_41 and CHRIS 47A1_41) both have inverted direction. Several bands were tried, processed and visualized. Spectral bands assessed and visually compared. This is a student poster as a part of MSc studies, University of Southampton.
Research Interests: Geography, Physical Geography, Earth Sciences, Environmental Science, Computer Science, and 15 moreComputer Vision, Education, Image Processing, Social Sciences, Remote Sensing, Science Education, Machine Learning, Data Mining, Data Analysis, Science, Energy and Environment, Remote sensing and GIS, Digital Image Processing, Earth and Environmental Sciences, and Geographic Information Systems (GIS)
Current poster presents a student assignment on Course: 'GEOG6038 Calibration and Validation of Earth Observation Data'. Study aim is image classification using ENVI GIS and remote sensing data aimed at national park area classification.... more
Current poster presents a student assignment on Course: 'GEOG6038 Calibration and Validation of Earth Observation Data'. Study aim is image classification using ENVI GIS and remote sensing data aimed at national park area classification. Study area is Páramo National Park in Ecuador is known for its unique natural resources in high altitude grasslands. The ecosystems of Páramo consist mostly of rare species and are the key protected area for exceptionally high endemism. ENVI software enablesd to make an analysis of the area in 9 (nine) working steps and to produce a map based on 2 criteria: vegetation amount and altitude. Methodology includes following steps: 1) True-colour composite of the ETM+ image, bands 3,2,1; 2) Image contrast enhancement (Enhance-Gaussian); 3) SRTM-Data Upload to derive elevation model; 4) 3D surface visualization; 5) Calculating Greenness Index; 6) Creation Vegetation Layer ROI; 7) Creating Altitude Layer Zones by “Intersect Regions” for each pair of ROIs. Final altitude zones are: Lowland Vegetation (1-2500m), Subparamo Vegetation (2501-3500), Paramo Vegetation (3501-4100) and Superparamo Vegetation (4101 – 5000). These zones are shown on the map in different colors (yellow, beige, two greens) ; 8) Mapping and Design; 9) 3D-Mapping and DEM. The research was done as part of MSc studies at the University of Southampton, UK, autumn 2009.
Research Interests: Geography, Geomorphology, Computer Science, Education, Educational Technology, and 15 moreImage Processing, Social Sciences, Remote Sensing, Computer Engineering, Science Education, Higher Education, Data Analysis, Sustainable Development, Image Analysis, Energy and Environment, Remote Sensing (Earth Sciences), Environmental Sustainability, Remote sensing and GIS, Data Structures, and Geographic Information Systems (GIS)
Current research has been performed at Eötvös Loránd University, Institute of Cartography. - RESEARCH EMPHASIS: application of clustering spatial analysis of the open source ILWIS GIS. - RESEARCH AIM: agricultural mapping of land cover... more
Current research has been performed at Eötvös Loránd University, Institute of Cartography. - RESEARCH EMPHASIS: application of clustering spatial analysis of the open source ILWIS GIS. - RESEARCH AIM: agricultural mapping of land cover types: south-west Hungary, Mecsek Hills. - RESEARCH PROCESS: Landsat TM scenes were classified into different land use types: natural vegetation coverage, anthropogenic areas and agricultural fields, sub-divided to various crop types. - RESEARCH OUTPUT: three independent agricultural thematic maps of land cover types for years 1992, 1999 and 2006, created in ILWIS GIS.
Research Interests: Cartography, Image Processing, Remote Sensing, Remote sensing and GIS applications in Landscape Research, Geo-spatial analysis with GIS and GPS, and 11 moreRemote sensing and GIS, Digital Image Processing, Image Classification, Land use/ land cover change studies, Mapping, Digital mapping, Ilwis, Landsat, Landsat-7 ETM +, Geographic Information Systems (GIS), and Land-use/ Land-cover Change
This research focuses on landscapes studies with selected research area located in central Slovakia, Sitno area. The research purpose is to perform spatial analysis of the landscapes and patches within the landscapes, in order to assess,... more
This research focuses on landscapes studies with selected research area located in central Slovakia, Sitno area. The research purpose is to perform spatial analysis of the landscapes and patches within the landscapes, in order to assess, which parts of the selected study area have the highest environmental quality and value, for further environmental monitoring and management. This paper presents quantitative ecological assessment of the landscapes within the natural protected area located in Slovakia, central Europe. It contributes to the sustainable development and environmental management of the environmentally protected zones.
The Patch density (PD) shows distribution and concentration of patches in the landscape, with values 11,22 patches per 1000 ha. It is very small value, which indicates large and compact patches. The study area is not fragmented too much, though, notably, as shown in Table 2: A) Number of categories and subcategories, B) Number of patches, C) Patch density and D) Class area (CA) and TA. The Mean patch size (MPS) was determined from the Number of patches and their area.The study area of Sitno Natura 2000 Sites is located in Slovakia, central Europe.
This area belongs to the pan-European Natura 2000 network of ecologically protected areas. Natura 2000 sites are defined as pan- European reserved nature zones, which meet the requirements of high environmental criteria and belong to natural heritage of Europe. These landscapes are under strict environmental protection due to their high ecological value, unique species, rich biodiversity and other characteristics. Selected under Natura 2000 programme, habitats and endangered species of high ecological value and significance are considered as primary targets of nature conservation. Sitno Natura 2000 Sites include unique landscapes with rare and endangered species. Therefore, they have high environmental and natural value, as important part of the Slovakian and European natural heritage. At the same time, there are detected anthropogenic impacts on Sitno Natura 2000 Sites, caused by the uncontrolled tourism and other factors.
The Patch density (PD) shows distribution and concentration of patches in the landscape, with values 11,22 patches per 1000 ha. It is very small value, which indicates large and compact patches. The study area is not fragmented too much, though, notably, as shown in Table 2: A) Number of categories and subcategories, B) Number of patches, C) Patch density and D) Class area (CA) and TA. The Mean patch size (MPS) was determined from the Number of patches and their area.The study area of Sitno Natura 2000 Sites is located in Slovakia, central Europe.
This area belongs to the pan-European Natura 2000 network of ecologically protected areas. Natura 2000 sites are defined as pan- European reserved nature zones, which meet the requirements of high environmental criteria and belong to natural heritage of Europe. These landscapes are under strict environmental protection due to their high ecological value, unique species, rich biodiversity and other characteristics. Selected under Natura 2000 programme, habitats and endangered species of high ecological value and significance are considered as primary targets of nature conservation. Sitno Natura 2000 Sites include unique landscapes with rare and endangered species. Therefore, they have high environmental and natural value, as important part of the Slovakian and European natural heritage. At the same time, there are detected anthropogenic impacts on Sitno Natura 2000 Sites, caused by the uncontrolled tourism and other factors.
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The research focuses on the monetary estimation of the possible losses caused by landslides. Estimation of the economic damages is performed using existing simplified methodologies. Calculations were based on real estate and market price... more
The research focuses on the monetary estimation of the possible losses caused by landslides. Estimation of the economic damages is performed using existing simplified methodologies. Calculations were based on real estate and market price of the elements at risk. While assessing potential damage of landslides confusion arises due to these factors. 1. First, the temporal probability of the landslides occurrence is highly difficult to assess: it can only be estimated based on the reliable and obtainable data. This includes historical data continuously reporting the occurrence of the landslides. 2. Secondly, difficulties arise by estimation of the indirect losses and partially damaged objects. The amount of the damages can be assessed based on elements vulnerability, which is very uncertain to estimate exactly. Thus, the vulnerability may differ depending on object location, individual characteristics and external factors. 3. The term “landslide” is not differentiated between debris flows and shallow or rotational landslides. This is an important source for uncertainty, as movement characteristics of these landslides are different. 4. Confusing over different method approaches in the risk assessment may generate various results: difference in magnitude and occurrence of landslides, risk perception and vulnerability assessment. The estimation of landslide risk should be based on complex investigations. The data about landslide probability should be gained from monitoring programmes. The elements at risk are defined based on spatial analysis and infrastructure inventory. The vulnerability estimation should include census data and social questionnaire. The real-life situations may vary depending on the exact price of the individual object.
Research Interests: Spatial Analysis, Risk and Vulnerability, Risk assessment, Landslides, Environmental Risk Assesment, and 8 moreRisk Assessment & Risk Management, Slope Stability and Landslides, Austria, Natural Resource Economics, Risk Assessment, Land Valuation, Geospatial Information, Landslide hazard and risk assessment, Landslide Susceptibility and Hazard Modeling, and Geographic Information Systems (GIS)
This paper details changes in land cover types in tundra landscapes (Yamal) during since 1988. The research method is supervised classification (Minimal Distance) of the Landsat TM scenes. The new approach of the current work is... more
This paper details changes in land cover types in tundra landscapes (Yamal) during since 1988. The research method is supervised classification (Minimal Distance) of the Landsat TM scenes. The new approach of the current work is application of ILWIS GIS and RS tools for Bovanenkovo region.
Research Interests: Image Processing, Remote sensing and GIS applications in Landscape Research, Geo-spatial analysis with GIS and GPS, Remote sensing and GIS, Digital Image Processing, and 8 moreImage Classification, Arctic, Satellite Remote Sensing & Image Processing, Landsat TM, Landsat-7 ETM +, Remote Sensing and GIS applications in Forestry, Arctic Tundra, and Geographic Information Systems (GIS)
Swath sonar bathymetry during Polarstern cruise ANT-XXIII/4 (PS69) with links to multibeam raw data files.
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Authors: Polina Lemenkova, Steffen Gauger, Thomas Feigl. Multibeam System: Hydrosweep DS-2. Technical results of the bathymetric survey.
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Authors: Polina Lemenkova, Steffen Gauger, Thomas Feigl. Multibeam System: Hydrosweep DS-2. Technical results of the bathymetric survey.
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Authors: Polina Lemenkova, Steffen Gauger, Thomas Feigl. Multibeam System: Hydrosweep DS-2. Technical results of the bathymetric survey.
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Authors: Polina Lemenkova, Steffen Gauger, Thomas Feigl. Multibeam System: Hydrosweep DS-2. Technical results of the bathymetric survey.
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Authors: Polina Lemenkova, Steffen Gauger, Thomas Feigl. Multibeam System: Hydrosweep DS-2. Technical results of the bathymetric survey.
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Authors: Polina Lemenkova, Steffen Gauger, Thomas Feigl. Multibeam System: Hydrosweep DS-2. Technical results of the bathymetric survey
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Authors: Polina Lemenkova, Steffen Gauger, Thomas Feigl. Multibeam System: Hydrosweep DS-2. Technical results of the bathymetric survey.
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Authors: Polina Lemenkova, Steffen Gauger, Thomas Feigl. Multibeam System: Hydrosweep DS-2. Technical results of the bathymetric survey.
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Authors: Polina Lemenkova, Steffen Gauger, Thomas Feigl. Multibeam System: Hydrosweep DS-2. Technical results of the bathymetric survey.
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Authors: Polina Lemenkova, Steffen Gauger, Thomas Feigl. Multibeam System: Hydrosweep DS-2. Technical results of the bathymetric survey.
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Authors: Polina Lemenkova, Steffen Gauger, Thomas Feigl. Multibeam System: Hydrosweep DS-2. Technical results of the bathymetric survey.
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Authors: Polina Lemenkova, Steffen Gauger, Thomas Feigl. Multibeam System: Hydrosweep DS-2. Technical results of the bathymetric survey.
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Authors: Polina Lemenkova, Steffen Gauger, Thomas Feigl. Multibeam System: Hydrosweep DS-2. Technical results of the bathymetric survey.
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Authors: Polina Lemenkova, Steffen Gauger, Thomas Feigl. Multibeam System: Hydrosweep DS-2. Technical results of the bathymetric survey.
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Authors: Polina Lemenkova, Steffen Gauger, Thomas Feigl.
Multibeam System: Hydrosweep DS-2. Technical results of the bathymetric survey.
Multibeam System: Hydrosweep DS-2. Technical results of the bathymetric survey.
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Authors: Polina Lemenkova, Steffen Gauger, Thomas Feigl. Multibeam System: Hydrosweep DS-2. Technical results of the bathymetric survey.
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Authors: Polina Lemenkova, Steffen Gauger, Thomas Feigl.
Multibeam System: Hydrosweep DS-2. Technical results of the bathymetric survey.
Multibeam System: Hydrosweep DS-2. Technical results of the bathymetric survey.
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Authors: Polina Lemenkova and Steffen Gauger and Thomas Feigl.
Multibeam System: Hydrosweep DS-2. Technical results of the bathymetric survey.
Multibeam System: Hydrosweep DS-2. Technical results of the bathymetric survey.
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Authors: Polina Lemenkova and Steffen Gauger and Thomas Feigl.
Multibeam System: Hydrosweep DS-2. Technical results of the bathymetric survey
Multibeam System: Hydrosweep DS-2. Technical results of the bathymetric survey
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Authors: Polina Lemenkova and Steffen Gauger and Thomas Feigl.
Multibeam System: Hydrosweep DS-2. Technical results of the bathymetric survey.
Multibeam System: Hydrosweep DS-2. Technical results of the bathymetric survey.
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Authors: Polina Lemenkova and Steffen Gauger and Thomas Feigl.
Multibeam System: Hydrosweep DS-2. Technical results of the bathymetric survey.
Multibeam System: Hydrosweep DS-2. Technical results of the bathymetric survey.
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Authors: Polina Lemenkova and Steffen Gauger and Thomas Feigl.
Multibeam System: Hydrosweep DS-2. Technical results of the bathymetric survey.
Multibeam System: Hydrosweep DS-2. Technical results of the bathymetric survey.
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Authors: Polina Lemenkova and Steffen Gauger and Thomas Feigl.
Multibeam System: Hydrosweep DS-2. Technical results of the bathymetric survey,.
Multibeam System: Hydrosweep DS-2. Technical results of the bathymetric survey,.
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Authors: Polina Lemenkova and Steffen Gauger and Thomas Feigl.
Multibeam System: Hydrosweep DS-2. Technical results of the bathymetric survey
Multibeam System: Hydrosweep DS-2. Technical results of the bathymetric survey
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Authors: Polina Lemenkova and Steffen Gauger and Thomas Feigl.
Technical results of the bathymetric survey
Technical results of the bathymetric survey
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Authors: Polina Lemenkova and Steffen Gauger and Thomas Feigl.
Multibeam System: Hydrosweep DS-2. Technical results of the bathymetric survey.
Multibeam System: Hydrosweep DS-2. Technical results of the bathymetric survey.
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Authors: Polina Lemenkova and Steffen Gauger and Thomas Feigl. Multibeam System: Hydrosweep DS-2. Technical results of the bathymetric survey
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Authors: Polina Lemenkova and Steffen Gauger and Thomas Feigl. Multibeam System: Hydrosweep DS-2. Technical results of the bathymetric survey
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Authors: Polina Lemenkova and Steffen Gauger and Thomas Feigl.
Multibeam System: Hydrosweep DS-2. Technical results of the bathymetric survey
Multibeam System: Hydrosweep DS-2. Technical results of the bathymetric survey
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Authors: Polina Lemenkova and Steffen Gauger and Thomas Feigl.
Multibeam System: Hydrosweep DS-2. Technical results of the bathymetric survey
Multibeam System: Hydrosweep DS-2. Technical results of the bathymetric survey
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Authors: Polina Lemenkova, Steffen Gauger, Thomas Feigl. Multibeam System: Hydrosweep DS-2. Technical results of the bathymetric survey
Authors: Polina Lemenkova and Steffen Gauger and Thomas Feigl.
Multibeam System: Hydrosweep DS-2. Technical results of the bathymetric survey. Mercator True Scale: 65°S. Raster Cell Size: 50 m
Multibeam System: Hydrosweep DS-2. Technical results of the bathymetric survey. Mercator True Scale: 65°S. Raster Cell Size: 50 m
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Authors: Polina Lemenkova and Steffen Gauger and Thomas Feigl.
Multibeam System: Hydrosweep DS-2. Technical results of the bathymetric survey
Multibeam System: Hydrosweep DS-2. Technical results of the bathymetric survey
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Authors: Polina Lemenkova and Steffen Gauger and Thomas Feigl.
Multibeam System: Hydrosweep DS-2. Technical results of the bathymetric survey
Multibeam System: Hydrosweep DS-2. Technical results of the bathymetric survey
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Authors: Polina Lemenkova and Steffen Gauger and Thomas Feigl.
Multibeam System: Hydrosweep DS-2. Technical results of the bathymetric survey
Multibeam System: Hydrosweep DS-2. Technical results of the bathymetric survey
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Authors: Polina Lemenkova and Steffen Gauger and Thomas Feigl.
Multibeam System: Hydrosweep DS-2. Technical results of the bathymetric survey
Multibeam System: Hydrosweep DS-2. Technical results of the bathymetric survey
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Authors: Polina Lemenkova and Steffen Gauger and Thomas Feigl.
Multibeam System: Hydrosweep DS-2. Technical results of the bathymetric survey
Multibeam System: Hydrosweep DS-2. Technical results of the bathymetric survey
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Authors: Polina Lemenkova and Steffen Gauger and Thomas Feigl.
Multibeam System: Hydrosweep DS-2. Technical results of the bathymetric survey
Multibeam System: Hydrosweep DS-2. Technical results of the bathymetric survey
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Authors: Polina Lemenkova and Steffen Gauger and Thomas Feigl.
Multibeam System: Hydrosweep DS-2. Technical results of the bathymetric survey
Multibeam System: Hydrosweep DS-2. Technical results of the bathymetric survey
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Authors: Polina Lemenkova and Steffen Gauger and Thomas Feigl.
Multibeam System: Hydrosweep DS-2. Technical results of the bathymetric survey
Multibeam System: Hydrosweep DS-2. Technical results of the bathymetric survey
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LaTeX code for the MSc Thesis 'Seagrass mapping & monitoring along the coasts of Crete, Greece'. Defended in 2011 in Netherlands, Enschede.
The main file is MScDiplom_Lemenkova.tex
The main file is MScDiplom_Lemenkova.tex
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Creating bathymetric profiles after data capture by Hydrosweep DS
Caris HIPS methodology
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Vertical exaggeration: automated
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Multibeam System: Hydrosweep DS-2. Technical results of the bathymetric survey, ANT-XXIII/4 cruise, R/V Polarstern, Pacific Ocean, Amundsen Sea, 10/02/2006-11/04/2006
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# ЧАСТЬ 1: делаем data.frame # ЧАСТЬ 2: сшиваем все колонки типа "профиль№" в единую группу "профили". # ЧАСТЬ 3: делаем множественный фасетный график из 25 профилей по QQ-статистике, рисуем график
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# совмещает множество графиков. Подписывает ярлыки. Совместную легенду не делает.
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Here I create an output as a histogram for 25 bath profiles with one common legend using ggpubr package in R.
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Treemap shows constitutional parts of the Mariana Trench project: bathymetric, tectonic and geological parts of the systems ordered according to their hierarchical parts within the project (importance of the factors).
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Waffle chart shows percentage distribution of the observation points according to the aspect class of the basement angle, Mariana Trench, Pacific Ocean.
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Showing residuals vs fitted values, check the normality assumption, normal QQ and standardized residuals: Mariana Trench, Pacific.
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Сreate the correlation matrix using Pearson method
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Creating a wordcloud for visual presentation of the ideas of the Mariana Trench project.
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Creating strip plots showing distribution of various environmental parameters by four tectonic plates, Mariana Trench
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Silhouette plot of pam(x = MarianaTrench_DF, k = 6)
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Plotting correlation between angle steepness and bathymetry by 25 profiles, Mariana Trench.
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Ranking 2 Dot Plots: 1) Distribution of Observation Points across Igneous Volcanic Areas 2) Variation of Steepness Angles
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k-means pairwise analysis
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k-means cluster analysis for 25 bathymetric profiles (Mariana Trench)
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Hexagonal plot showing frequency distribution of bathymetric data by 25 profiles, according to the depth values for the Mariana Trench, Pacific Ocean.
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# шаг-1. вчитываем таблицу с данными. делаем из нее исходный датафрейм. чистим датафрейм от NA # шаг-2. сшиваем группы категорий по классам (здесь: тектоника, глубины, углы) # шаг-3 создаем короткий датафрейм всего из 3 значений (value -... more
# шаг-1. вчитываем таблицу с данными. делаем из нее исходный датафрейм. чистим датафрейм от NA # шаг-2. сшиваем группы категорий по классам (здесь: тектоника, глубины, углы) # шаг-3 создаем короткий датафрейм всего из 3 значений (value - длина лепестка круга) # шаг-4 делаем пустую колонку чтобы было расстояние между группами /Set a number of 'empty bar' to add at the end of each group # шаг-5 создаем ярлычки-лейблы для каждого лепестка круга - из датафрейма берем информацию для ярлыков // Get the name and the y position of each label # шаг-6. prepare a data frame for base lines # шаг-7. prepare a data frame for grid (scales)
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Scatter 3D basic plot for 3 categories: sediment thickness, slope angle and bathymetric profiles, Mariana Trench, Pacific Ocean.
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Slope Angle(tg(A/H)) in 25 Profiles by Tectonic Plates, Sediment Thickness in 25 Profiles by Tectonic Plates Maximal Depth in 25 Profiles by Tectonic Plates, Igneous Volcanic Zones Distribution in 25 Profiles by Tectonic Plates
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R script for regression analysis, for one bathymetric profile (here: Profile Nr. 11)
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Three plots for regression analysis plotted together on one layout.
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Distribution of the observation points along 25 bathymetric profiles within four tectonic plates, Mariana Trench.
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Mariana Trench: mosaic plot for plate tectonics (Mariana, Caroline, Pacific and Philippine).
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Mariana Trench project: ridgeline plot on bathymetry; density distribution of depth observation points; ridgeline plot on tectonics: density distribution of the observation points by plates
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# ЧАСТЬ 1: делаем data.frame # ЧАСТЬ 2: сшиваем все колонки типа "профиль№" в одну группу профилей. # ЧАСТЬ 3: делаем регрессионный анализ и рисуем его график. (Мат. метод вкл. 3 вида кривой лесса с доверительными интервалами и квантилями()
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R script for notched boxplot
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R code for creating whisker boxplot Делаем диаграмму распределения данных "whisker boxplot"
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Hierarchical Clustering with P-Values via Multiscale Bootstrap Resampling; creating dendrogramms; sorting two dendrograms; visualizing results of dendrograms: pvclust and dendextend;
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# Doing Principal Component Analysis (PCA) using following libraries: 'factoextra', 'FactoMiner' ‘zip’, ‘openxlsx’, ‘carData’, ‘pbkrtest’, ‘rio’, ‘car’, ‘flashClust’, ‘leaps’, ‘scatterplot3d’, ‘FactoMineR’, ‘ca’, ‘igraph’
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Generating plots for Factor Analysis, Parallel Analysis Scree Plots and Omega bi-factors, to analyse impact of various factors for Mariana Trench geomorphology.
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Hierarchical network for the Mariana Trench project: constitutional parts of the project and their logical inter-relationships
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Correlation ellipses between various environmental determinants, Mariana Trench, Pacific Ocean.
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马里亚纳海沟。剖面1-25。Mariana Trench, Profiles 1-25. 统计图表。小提琴的图表。Violin plot of the Mariana Trench: a hybrid of a Box plot and a Kernel probability density estimation plot (rotated). Median and Quantiles (0.25, 0.5, 0.75)
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Categorywise Bar Chart for Mariana Trench 25 bathymetric profiles. Distribution of Observation Points across Tectonic Plates: Mariana, Philippine, Pacific and Caroline
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Show correlation of the sediment thickness, trench slope angle by 25 bathymetric profiles and depth, Mariana Trench, Pacific Ocean.
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Shows percentage distribution of the aspect degree in the basement according to the observation data pool. Mariana Trench, bathymetric profiles 1:25.
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On this plot we can see how the data are distributed according to the bathymetric profiles (here: angle slopes and depths).
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Geomorphological landforms of the oceanic trenches, their formation and variation of the geometric shapes is a question of special importance to the scientific community in marine geology. The actuality of this question has significantly... more
Geomorphological landforms of the oceanic trenches, their formation and variation of the geometric shapes is a question of special importance to the scientific community in marine geology. The actuality of this question has significantly increased since the beginning of the rapid development of the IT tools and methods of the advanced data analysis, yet its understanding remains patchy. Since the majority of the oceanic trenches are located along the margins of the Pacific Ocean, it plays a central role for their analysis and understanding their formation oceanic trenches. Specific geological conditions, presence of the tectonic subduction zones, vast territory of the Pacific Ocean with complex circulation system, extension of the ’Ring of Fire’, a seismically active belt of the earthquakes and volcanic, make the trenches of the Pacific Ocean highly sensitive to the factors affecting their formation which cause variations in their geomorphic shape forms. In this context, the most representative indicators of the variations in the deep-sea trenches are geological and tectonic factors, such as dynamics of lithosphere crust affecting speed and intensity of plates subduction, magnitude and frequency of the submarine volcanoes causing active sedimentation. Nowadays, studying marine geological phenomena and complex processes by programming and scripting has been a powerful method. Rapid development of the advanced methods of data analysis presented such effective tools as GMT, Octave/MATLAB, R and Python. It is particularly efficient when applied to the massive amounts of marine geological data. Big data processing by advanced scripting is a crucial approach, as algorithms of libraries give access to the accurate and rapid data analysis. Specific information about distant and hard-to-reach deep-sea trenches can be gained for precise visualization and analysis of their submarine geomorphology from local to regional and global scales. However, there is a lack of uniformity in studying deep-sea trenches, a shortage of systematic mapping of the Pacific trenches and a lack of understanding of the geomorphological variation between the trench profiles in different parts of the ocean: southern and northern, eastern and western, and their response to the geological and tectonic local settings in the places of formation. Therefore, this study develops a systematic approach to monitoring and comparative analysis of the geomorphological shape forms of the deep-sea trenches formed under specific geological and tectonic conditions along the margins of the Pacific Ocean. The study area encompasses Pacific Ocean, and more specifically, includes 20 selected target trenches: Aleutian, Mariana, Philippine, Kuril-Kamchatka, Middle America, Peru-Chile, Palau, Japan, Kermadec, Tonga, Izu-Bonin, New Britain, San Cristobal, Manila, Yap, New Hebrides, Puysegur, Hikurangi, Vityaz and Ryukyu. These are the major trenches of the Pacific Ocean and, therefore, the most representative for the geomorphological modelling. This study identifies tectonic plates formation, slab subduction, historical geological development, earthquakes and submarine volcanoes as the primary types of impact factors affecting trenches formation. Secondary factors include ocean currents, sedimentation and biota contributing to the sedimentation. Seafloor geomorphology in hadal trenches is strongly affected by a variety of factors that necessarily affect the shape of their landforms. Using data modelling, the shapes of the profiles transecting the trenches in an orthogonal direction were compared and analyzed in order to highlight the differences and variations in their geomorphology. The objective of this study is to perform a geomorphological classification of the shape forms of the trenches through ordering them into groups based on the common characteristics of the trenches’ landforms in plan and attaching labels to these groups. Following geomorphological profile shape types have been identifies and trenches are classified into seven types: U-formed (in plan), V-formed (in plan), asymmetric, crescent-formed, sinuous-formed, elongated, cascade-formed. For each type (U, V, asymmetric and so on) characteristic steepness sub-types are identified: strong, very strong, extreme, steep, very steep. Valley slopes are classified as follows: very high, high, moderate, low, based on the curvature degree. Size and valley slope classes are analyzed in the context of physical environment and tectonic and geological development of the area of trench formation. Technical aim of this research was to experiment with and extend current methods of geospatial modelling for geomorphological classification of the submarine landforms of the trenches. Using methods of the advanced data analysis is crucial for the precise and reliable data processing, since understanding seafloor landforms can only be based on the computer-based data modelling due to their unreachable location. The selection of the methodology, tools and algorithms is explained by research objectives and goals. The specifics of the marine geology consists in the high requirements towards data processing. Datasets were processed, computed and analyzed in semi-automatic regime by Machine Learning (ML) approaches, using advanced algorithms of data analysis and effective visualization through application of the advanced programming tools and Generic Mapping Tools (GMT) scripting toolsets. This study presents an automated workflow enabling large-scale profile cross-sectioning aimed at transect geomorphological mapping, quantitative comparative analysis and classification of the 20 trenches of the Pacific Ocean. The methodology of the GMT includes algorithms of sequential scripting for the cartographic visualization and mapping, automatic digitizing of the cross-section transect profiles, and geomorphic modelling of the trenches. In total 50 modules of GMT scripting toolset were trained on extensive datasets collected from 20 trenches across the whole region of the Pacific Ocean. Using high-resolution bathymetric datasets (General Bathymetric Chart of the Oceans (GEBCO), ETOPO1 and Shuttle Radar Topographic Mission (SRTM)), sample transects of the trenches were modeled, analyzed and compared. Variations in shape forms, steepness and curvature were analyzed by computed models for each trench. The tables were converted from QGIS plugins to Python libraries and R packages, and from GMT to Octave via AWK languages. The results revealed significant variation in the shape and steepness of the submarine geomorphology in 20 trenches of the Pacific Ocean. A strong correlation between the geomorphic profile shapes with geological factors and level of tectonic activities (earthquakes, volcanism, speed of tectonic plate subduction) and the scale of trench steepness, curvature and shape unevenness is confirmed and analyzed. Geomorphological structure of the trenches and dynamics of the tectonic plates subduction are analyzed and assessed at each trench regionally (north, south, west and east Pacific). The novelty of the study consists in presented systematic classification and comparative modelling of the geomorphic profiles of the deep-sea trenches by means of the sequential usage of the advanced scripting toolsets. Technical innovativeness consists in a combination of GIS, GMT, Python, AWK, R. The actuality of this research consists in its strongly multi-disciplinary nature demonstrating a combination of the following approaches: 1) systematic multi-source geospatial data analysis; 2) statistical data modelling and processing by libraries of the Python and R, AWK and Octave/Matlab; 3) geological literature analysis; 4) cartographic mapping and modelling by GMT shell scripts and visualization in QGIS. The research contributes to the studies on the seafloor of the Pacific Ocean. Technical scripts used for advanced statistical analysis are presented in full in the Appendix A for future replication and reproducible analysis in other trenches of the world ocean.
Research Interests: Cartography, Earth Sciences, Geology, Geomorphology, Computer Science, and 15 moreProgramming Languages, Artificial Intelligence, Statistics, Education, Science Education, Machine Learning, Data Mining, Sustainable Development, Modeling and Simulation, Environmental Sustainability, Remote sensing and GIS applications in Landscape Research, R programming language, Big Data, Python Programming, and Geographic Information Systems (GIS)
The report presents an overview of the classification of morphological structures of the trenches of the Pacific Ocean, performed using advanced methods of data analysis, machine learning, modeling and mapping based on GMT. The study,... more
The report presents an overview of the classification of morphological structures of the trenches of the Pacific Ocean, performed using advanced methods of data analysis, machine learning, modeling and mapping based on GMT. The study, aimed at analyzing the variability of morphological structure in the 20 deep-sea trenches of the Pacific Ocean, is an interdisciplinary approach that combines cartographic modeling and statistical data analysis.
Research Interests: Cartography, Earth Sciences, Geology, Geomorphology, Oceanography, and 15 moreComputer Science, Programming Languages, Artificial Intelligence, Education, Spatial Analysis, Computer Engineering, Machine Learning, Data Mining, Data Analysis, Modeling and Simulation, Risk and Vulnerability - Natural Hazards, Remote sensing and GIS, Big Data, Geographic Information Systems (GIS), and Computer Science and Engineering
This work presents the student technical report of the participant at Bathymetry group at the R/V ’Polarstern’ cruise, AWI. The expedition is organized to the western sector of Antarctica, the South Pacific (Bellingshausen Sea, Amundsen... more
This work presents the student technical report of the participant at Bathymetry group at the R/V ’Polarstern’ cruise, AWI. The expedition is organized to the western sector of Antarctica, the South Pacific (Bellingshausen Sea, Amundsen Sea). The main goal of the Bathymetry group was to conduct high-resolution multispectral surveys of the seafloor topography along the ship's route, map sampling points of the geological sampling, interpret gravimetric measurements and expand the World database of the seafloor mapping, in particular, updating seafloor topography data for an international map GEBCO. As a result of the work, the seafloor topography on selected areas of the Amundsen and Bellingshausen seas was surveyed and maped using Hydrosweep DS-2, Caris HIPS, GMT, ArcGIS. Technological workflow, research methodology and geological description of the study area are presented in the report. The report is written in Russian language.
Research Interests: Environmental Engineering, Geography, Cartography, Environmental Science, Geology, and 15 moreComputer Science, Education, Social Sciences, Climate Change, Science Education, Machine Learning, Data Mining, Environmental Studies, Data Analysis, Environmental Sustainability, Remote sensing and GIS, Antarctic Geology, Digital mapping, Big Data, and Geographic Information Systems (GIS)
Gohl K., Uenzelmann-Neben G., Eagles G., Fahl A., Feigl T., Grobys J., Just J., Leinweber V., Lensch N., Mayr C., Parsiegla N., Rackebrandt N., Schluter P., Suckro S., Zimmermann K., Gauger S., Bohlmann H., Netzeband G., Lemenkova P.... more
Gohl K., Uenzelmann-Neben G., Eagles G., Fahl A., Feigl T., Grobys J., Just J., Leinweber V., Lensch N., Mayr C., Parsiegla N., Rackebrandt N., Schluter P., Suckro S., Zimmermann K., Gauger S., Bohlmann H., Netzeband G., Lemenkova P. 2006. Deep crustal refraction and reflection seismics; Crustal & sedimentary structure & geodynamic evolution of the West Antarctic continental margin & Pine Island Bay. In: Berichte zur Polar- und Meeresforschung // Reports on Polar and Marine Research, 557: 117, p.20-30. ISSN: 1618-3193. Expeditionsprogram No75 of ANT-XXIII/4 Cruise. AWI fu ̈r Polar- und Meeresforschung, Bremerhaven, 11-12.
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The reconstruction of the paleoclimatic and paleoceanographic development of the late Quaternary south polar ocean and adjacent continental areas in high temporal and spatial resolution is the main goal of our long-term study. During this... more
The reconstruction of the paleoclimatic and paleoceanographic development of the late Quaternary south polar ocean and adjacent continental areas in high temporal and spatial resolution is the main goal of our long-term study. During this expedition the sedimentary budget of biogenic and terrigenous components and their variability will be investigated. One objective of this leg is to continue the studies of former expeditions to gather more detailed paleoceanographic information on the eastern Pacific sector of the Southern Ocean for reconstruction of the distribution of water masses, frontal systems and sea ice, as well as information on high export productivity areas and their impact on global climate evolution. Thus, it will help us to broaden our understanding of the impact of environmental processes in the Southern Ocean on global climate. The second objective is to investigate the response of the West Antarctic Ice Sheet (WAIS) to Quaternary climatic changes. This ice sheet represents the most instable portion of Antarctic ice. The distribution pattern of the WAIS and its development can be deciphered from the sediment deposition in the study area. Previous investigations indicated that the WAIS collapsed once or multiple times during the past 0.75 million years. However there are also controversial findings. Since marine-geological records of glaciomarine deposition proximal to the WAIS are sparse, the exact timing and boundary conditions for such an event, which would result in a rise of the sea level of 5-6 m, are not yet known. The reconstruction of environmental conditions based on a multiproxy approach (this includes the investigations of sediment composition, microfossil assemblages and isotopic measurement of biogenic components) and its stratigraphic dating should substantially add to the knowledge of the WAIS history and its stability during a possibly warmer climate in the future.
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The RV Polarstern expedition ANTARKTIS-XXIII/4 (ANT-XXIII/4) began on 10 February 2006 from Punta Arenas returning on 11 April 2006. The main goal of the expedition was to study glaciomarine sedimentation and the evolution of the... more
The RV Polarstern expedition ANTARKTIS-XXIII/4 (ANT-XXIII/4) began on 10 February 2006 from Punta Arenas returning on 11 April 2006. The main goal of the expedition was to study glaciomarine sedimentation and the evolution of the tectonic-geodynamic setting of the southern Amundsen Sea and Pine Island bay. Crustal and sedimentary structures on the West Antarctic continental margin and Pine Island were surveyed using deep crustal refraction and reflection seismic geophysical methods.
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Current research details methodological framework for the land planning of the recreational activities based on ecologic approach. Human impacts on landscapes caused by touristic activities should be in accordance with sustainability... more
Current research details methodological framework for the land planning of the recreational activities based on ecologic approach. Human impacts on landscapes caused by touristic activities should be in accordance with sustainability level, i.e. without changing natural landscape elements, their function and processes, as well as environmental quality. Region of Štiavnické Bane in Slovakia represents a case study area that is completely under nature and landscape conservation. The methodological framework for the planning of recreational activities is based on the methodology of ecologic carrying capacity which is implemented by the Landscape ecological planning. The main result from this work is suitable tourism activities determined by the ecological approach. Methodological steps include spatial analysis, interpretation, evaluations and propositions which were suggested for recreational activities. The most suitable activities for winter periods are downhill skiing, cross-country skiing and winter tourism. For the summer period the best activities are the following ones: hiking, water sports and recreational activities linked to watering and sport fishing.
The most suitable activities for the year-round period are service facilities and therapeutic recreational facilities. This sum of the activities represents the level of the land using that has not any negative environmental impact.
The most suitable activities for the year-round period are service facilities and therapeutic recreational facilities. This sum of the activities represents the level of the land using that has not any negative environmental impact.
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Редакторы: Котляков В.М. Том 2 «Природа. Экология» является составной частью Национального атласа России, создаваемого как официальное государственное издание в соответствии с поручением Правительства Российской Федерации от 26 мая 2000... more
Редакторы: Котляков В.М. Том 2 «Природа. Экология» является составной частью Национального атласа России, создаваемого как официальное государственное издание в соответствии с поручением Правительства Российской Федерации от 26 мая 2000 г. № АГ — П 9 — 14991 . Том 2 предназначен для широкого использования в экономической, управленческой, научной, образовательной и других видах деятельности. Объектом картографирования тома являются природные условия, природные ресурсы и состояние окружающей среды Российской Федерации. Том 2 содержит 495 страниц карт, текстового и иллюстративного материала, которые сгруппированы в 15 разделов: 1. Вводный раздел. 2. Эволюция природной среды. 3. Геологическое строение и ресурсы недр. 4. Рельеф. 5. Климат. 6. Воды суши. 7. Снег. Лед. Мерзлота. 8. Моря. 9. Почвенный покров и земельные ресурсы. 10. Растительность. 11. Животный мир. 12. Ландшафты. 13. Состояние окружающей среды. 14. Охрана природы. 15. Справочный раздел
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The seagrasses, a unique aquatic plants, are the most important component in the environmental food chain of the coastal ecosystems. The P.oceanica seagrass is an endemic for the Mediterranean region, and a main species in the marine... more
The seagrasses, a unique aquatic plants, are the most important component in the environmental food chain of the coastal ecosystems. The P.oceanica seagrass is an endemic for the Mediterranean region, and a main species in the marine coastal environment of Greece. Meadows of P.oceanica are subjected to the human activities, since they occur in coastal areas, where they are affected both by anthropogenic and by natural (climatic and environmental) factors. Nowadays P.oceanica is in the alarming state of regression, because of the deterioration of the environment in the Mediterranean Sea. Current work focuses on the methods of monitoring and mapping of P.oceanica along the northern coasts of Crete Island, Greece, and investigates the application of the remote sensing techniques for the seagrass mapping. Particularly, the optical properties of the P.oceanica and carbonate sand are reviewed and compared, in order to study distinguishability of various seafloor cover types with varying environmental conditions. The thesis provides contribution to the saving and protecting the environment of Mediterranean region.
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The project focuses on the analysis of Central Asian hydro-energetic system and water usage in Tian Shan region. Tian Shan system is important water resource in Central Asia: mountains river waters are intensely taken for hydropower... more
The project focuses on the analysis of Central Asian hydro-energetic system and water usage in Tian Shan region. Tian Shan system is important water resource in Central Asia: mountains river waters are intensely taken for hydropower energy, urban systems, irrigation. But geopolitics in Tian Shan is diicult: it crosses ve densely populated countries. Current problem consists in water delivery between territories located in the highlands with excellent water supply and those located in valleys with water shortage. Tajikistan and Kyrgyzstan control river basins, and Kazakhstan and Uzbekistan depend on water supply. The problem of water use causes debates among these countries. Besides, climate warming aaects glaciers and causes water deecit. Altogether, this leads to dii-culties in hydro-energetics. A multidisciplinary analysis was performed in research: geopolitical problems of water supply in Tian Shan, spatial distribution of hydro-energetic resources and climate impact on hydro-energetics.
Research Interests: Environmental Engineering, Geography, Environmental Science, Computer Science, Education, and 15 moreEnvironmental Education, Social Sciences, Spatial Analysis, Science Education, Environmental Studies, Political Science, Sustainable Development, Water resources, Science, Environmental Management, Ecology, Energy and Environment, Sustainable Water Resources Management, Environmental Sustainability, and Sustainability
Das Ziel der Forschung ist die Herstellung eines geoökologischen Geoinformationssystems und digitaler geoökologischer Karten für das Gebiet der Arktis. Als Resultat sind geoökologische Karten der Arktis herzustellen, die den jetzigen... more
Das Ziel der Forschung ist die Herstellung eines geoökologischen Geoinformationssystems und digitaler geoökologischer Karten für das Gebiet der Arktis. Als Resultat sind geoökologische Karten der Arktis herzustellen, die den jetzigen Zustand des Polargebiets zeigen. Forschungsschritte: 1) Bearbeitung der vorhandenen bathymetrischen Karten; 2) Datenanalyse (geomorphologische, geologische, ozeanographische und klimatische, biologische, physisch-chemische Daten); 3) Modellierung; 4) Geoökologische Kartierung.
Research Interests: Environmental Engineering, Geography, Earth Sciences, Environmental Science, Geodesy, and 15 moreGeology, Computer Science, Education, Educational Technology, Remote Sensing, Computer Engineering, Machine Learning, Geotechnical Engineering, Marine Ecology, Sustainable Development, Geoinformatics, Environmental Sustainability, Remote sensing and GIS, Arctic, and Geographic Information Systems (GIS)
Detaillierter Forschungsplan. Das primäre Ziel der geplanten Forschungsarbeit ist: Forschung zu Folgen von Klimawandel auf den glaziologischen Zustand der Oberfläche des grönländischen Eisschilds, besonders im Bereich... more
Detaillierter Forschungsplan. Das primäre Ziel der geplanten Forschungsarbeit ist: Forschung zu Folgen von Klimawandel auf den glaziologischen Zustand der Oberfläche des grönländischen Eisschilds, besonders im Bereich Reflektionseigenschaften, deren Veränderung und Konsequenzen für die fernerkundliche Erfassung der Veränderungen des Eisschilds. Die Herstellung thematischer Karten der glaziologischen, klimatischen, geomorphologischen und ökologischen Bedingungen im südlichen Grönland und deren Veränderung in den letzten 80 Jahren. Die geoökologische Kartierung und Herstellung thematischer Karten für ausgewählter Gletschervorfelder in den Schweizerischen Alpen. Weitere Arbeiten befassen sich der geostatistischen Analyse von Bodenkohlenstoffdaten eines Transekts. Im Anschluss an die Digitalisierung und Kartenerstellung findet ein Vergleich der gewonnenen Daten zu Schnee und Eisverhältnissen. Dies ermöglicht die Identifikation von Trends des Eisobetflächenzustands seit 1928. Neben Hinweisen auf die Folgen von Klimawandel für Zustand und Mächtigkeit des Eises ergibt sich hieraus die Möglichkeit der Kalibrierung fernerkundlicher Sensoren. Die durch die den jeweiligen Obetflächenverhältnissen angepassten Klassifikationen des Eiszustands werden mit einer nichtangepassten Klassifikation verglichen um die Genauigkeit der fernerkundlich erfassten glaziologischen Daten zu überprüfen. Diese Arbeit wird mit der Erdas lmagine und Ar- cGlS durch geführt. Kartografische Darstellung der geoökologischen Veränderungen auf Gletschervorfeldern in den Schweizer Alpen und entlang eines Süd-Nord Transekts. Zusät- zlich werden analoges und digitales Kartenmaterial sowie Luft- und Satellitenbilder für die digitale kartographische Darstellung der geoökologischen Bedingungen in den Arbeitsgebieten verwandt. Als Software wurde IDRlSl Andes gewählt, da es die einfache Verarbeitung von Vektor- und Rasterdaten, einschliesslich Satellitenbilder, und die Erstellung komplexer Kartenherstellung, inklusive Visualisierung, ermöglicht. Arktis spielt eine Hauptrolle im Klimasystem der Erde. Die Entwicklung von Modellen zur Prognose die zukünftigen Veränderungen der Umwelt in der Arktis ist von vorrangiger Bedeutung für das Verständnis und Management des globalen Umweltwandels.
Research Interests: Environmental Engineering, Geography, Human Geography, Earth Sciences, Environmental Science, and 15 moreComputer Science, Artificial Intelligence, Education, Image Processing, Social Sciences, Machine Learning, Research Methodology, Environmental Studies, Educational Research, Political Science, Sustainable Development, Environmental Sustainability, Remote sensing and GIS, Alpine and Arctic Research, and Geographic Information Systems (GIS)
The research describes methodological synopsis and theoretical principles for the geoecological mapping of the Russian Arctic Seas. A case study is provided for the Barents and Pechora Seas. The proposal describes approaches and methods... more
The research describes methodological synopsis and theoretical principles for the geoecological mapping of the Russian Arctic Seas. A case study is provided for the Barents and Pechora Seas. The proposal describes approaches and methods of data classification for the environmental mapping of the Arctic Seas on the Russian shelf area, classifies contaminants of the marine ecology. Special focus is given to the complex structure of the Arctic Seas as a unique system with interrelated components of the marine ecosystems. The integrated use of the remote sensing data, GIS and analysis of the environmental processes in Arctic are proposed.
Research Interests: Environmental Engineering, Geography, Human Geography, Cartography, Earth Sciences, and 15 moreEnvironmental Science, Computer Science, Education, Environmental Education, Spatial Analysis, Data Mining, Database Systems, Higher Education, Environmental Studies, Ecology, Energy and Environment, Environmental Sustainability, Digital Library, Digital mapping, and Geographic Information Systems (GIS)
Research Proposal: Addendum pour le dossier ’l’équipe Archéologie des Milieux et des Ressources. Ce thèse se situe au contact pluridisciplinaire: d’une part, l’histoire de la société et l’occupation humaine des territoires, et d’autre... more
Research Proposal: Addendum pour le dossier ’l’équipe Archéologie des Milieux et des Ressources. Ce thèse se situe au contact pluridisciplinaire: d’une part, l’histoire de la société et l’occupation humaine des territoires, et d’autre part, la dynamique des phénomènes naturels (géographie) et la transformation des paysages visualisée par des méthodes cartographique (l’application de SIG pour l’analyse géospatial). La zone d’étude se situe à la sud de Languedoc-Roussillon. Le but de cette étude est de caractériser les relations qui se sont établies entre la nature et les sociétés humaines en développent une méthode pour visualiser la dynamique d’occupation des côtières de Moyen Âge jusqu’à aujourd’hui. L’étude propose l’utilisation de don- nées massives SIG pour l’investigation de développement des zones côtières de sud Languedoc. La solution pour atteindre cet but est le développement d’une approche intégrée et perspective, récemment beaucoup discuté, le Big Data en Archéologie, en utilisant le SIG pour le traitement des données massives: pluridisciplinaire, multi-temporelles, multi-sources, en diffèrent format et d’échelle spatial, même fragmentaires. Le projet contribuera aussi a conservation du patrimoine naturel et historique.
Research Interests: History, Geography, Human Geography, Archaeology, Computer Science, and 15 moreArtificial Intelligence, Education, Image Processing, Social Sciences, Machine Learning, Data Mining, Database Systems, Data Analysis, Political Science, Sustainable Development, Modeling and Simulation, Environmental Sustainability, Data Visualization, Big Data, and Geographic Information Systems (GIS)
The aim of the work is to analyse and classify existing methods of GIS based environmental mapping of the ecosystems in the Arctic seas. The existing GIS methods were summarized. Currently there is lack in the common principles for... more
The aim of the work is to analyse and classify existing methods of GIS based environmental mapping of the ecosystems in the Arctic seas. The existing GIS methods were summarized. Currently there is lack in the common principles for systematic mapping of the Arctic, no universal approaches for integrating multi-source thematic data exist so far. Current work aims to contribute to wards the development of the methodology of the environmental mapping in the marine areas. The proposed principles of the integration and collection of various thematic data in the marine areas of Arctic basin, heterogeneous data, in various formats, scales and territorial coverage, multidimensional and irregular in a common database. Methods propose analysis of the existing materials, assessment of their reliability and suitability, their classification, structural generalization and organization. The theoretical principles of the integrated GIS mapping of the Arctic ecosystems are proposed.
Research Interests: Information Systems, Environmental Engineering, Geography, Computer Science, Information Technology, and 15 moreEducation, Informatics, Social Sciences, Spatial Analysis, Science Education, Data Mining, Database Systems, Higher Education, Data Analysis, Environmental Sustainability, Remote sensing and GIS, Databases, Big Data, Data Structures, and Geographic Information Systems (GIS)
Research plan for the National Scholarship Programme (NSP) of the Slovak Republic, for the research stay at the Matej Bel University, Faculty of Natural Science, Department of Geography, Geology and Landscape Ecology. Research Topic:... more
Research plan for the National Scholarship Programme (NSP) of the Slovak Republic, for the research stay at the Matej Bel University, Faculty of Natural Science, Department of Geography, Geology and Landscape Ecology. Research Topic: Application of remote sensing data & GIS methods for spatial analysis of land cover changes in environment of Tatra Mountains. Region of Interest: Tatra Mountains, Slovakia. Research Aims: 1. Environmental mapping of highlands in Tatra Mountains 2. Analysis of land cover changes in mountain ecosystems. Detailed research plan is scheduled on two-week periods for two months. Main research goal: Analysis of the landscape and land cover changes in Tatra region, in the past 10-20 years, Slovakia.
Research Interests: Landscape Ecology, Geography, Human Geography, Urban Geography, Environmental Science, and 15 moreComputer Science, Philosophy of Science, Tourism Studies, Education, Image Processing, Social Sciences, Science Education, Data Mining, Research Methodology, Ecology, Environmental Sustainability, Research, Remote sensing and GIS, Databases, and Geographic Information Systems (GIS)
Research Proposal for the environmental monitoring of the Šumava Mountains, Czech Republic. Research aims: 1) Ecoregions of Šumava mountains and other mountain ranges in Czech Republic: comparison and brief overview; 2) Environmental... more
Research Proposal for the environmental monitoring of the Šumava Mountains, Czech Republic. Research aims: 1) Ecoregions of Šumava mountains and other mountain ranges in Czech Republic: comparison and brief overview; 2) Environmental mapping of mountainous landscapes (Šumava district); 3) Spatial analysis of land cover types in Šumava mountains. The study area is Šumava mountains region located on the southwestern border of the Czech Republic. The research is focused on the multidisciplinary project which requires investigation of mountain ecosystems using technical GIS analysis and physical-geographic analysis of regional biodiversity, geomorphological-ecological and climatic settings of the area.
Research Interests: Environmental Engineering, Geography, Earth Sciences, Environmental Science, Computer Science, and 15 moreHuman Computer Interaction, Education, Climate Change, Science Education, Research Methodology, Higher Education, Environmental Studies, Sustainable Development, Ecology, Sustainable Tourism, Environmental Sustainability, Remote sensing and GIS applications in Landscape Research, Research, Remote sensing and GIS, and Geographic Information Systems (GIS)
Central Asian region is one of the most complex regions of the world due to the difficult geopolitical situation, complex boundaries pattern and concentration of densely populated countries with high demand for energy resources. The... more
Central Asian region is one of the most complex regions of the world due to the difficult geopolitical situation, complex boundaries pattern and concentration of densely populated countries with high demand for energy resources. The project focuses on the environmental analysis of Central Asian energetic system and usage of waters from Tian Shan mountain glaciers. A multidisciplinary analysis of the current work includes two aspects: 1) discussion of the geopolitical problems of water supply in Central Asia; 2) analysis of climate impact on hydro-energetic resources in Tian Shan. The irregular distribution of water resources in Central Asia leads to regional conflicts of interest among key water providers and major customers. As a result, water supply is a point of discussions among neighboring countries. The situation is redoubled by natural factors (climate warming) and anthropogenic aspects. The non-diplomatic, one-sided energy policy of energy-rich countries leads to the difficulties in the geopolitical relationships. The optimal suggestion is based on the well-balanced sustainable water usage considering interests of all countries.
Research Interests: Environmental Engineering, Landscape Ecology, Geography, Human Geography, Physical Geography, and 15 moreComputer Science, Economic Geography, Education, Remote Sensing, Spatial Analysis, Climate Change, Data Analysis, Sustainable Development, Statistical Analysis, Ecology, Environmental Sustainability, Algorithm, Research Proposal, Geographic Information Systems (GIS), and GIS
Research plan for the application at TÜBİTAK Scholarship. Host organization: Ege University, Faculty of Geography, Izmir, Turkey. Study area: Izmir, Turkey. The study region of Izmir and its surroundings is known for the unique and rich... more
Research plan for the application at TÜBİTAK Scholarship. Host organization: Ege University, Faculty of Geography, Izmir, Turkey. Study area: Izmir, Turkey. The study region of Izmir and its surroundings is known for the unique and rich physical geography and environmental settings. The physical geography of the region combines diverse landforms, various geomorphological and natural landscapes, species and vegetation richness. research aims: Environmental mapping of mountainous landscapes (western Anatolia); Spatial analysis of land cover types in western Anatolian province. The research is technically based on Quantum GIS and ILWIS software using remote sensing data (Landsat TM) for image processing and classification. The research is proposed for two months.
Research Interests: Environmental Engineering, Geography, Human Geography, Environmental Science, Computer Science, and 15 moreArtificial Intelligence, Human Computer Interaction, Education, Image Processing, Social Sciences, Remote Sensing, Climate Change, Machine Learning, Environmental Studies, Sustainable Development, Ecology, Energy and Environment, Environmental Sustainability, Remote sensing and GIS, and Geographic Information Systems (GIS)
Project synopsis for Erasmus Mundus FONASO Programme. The research aim is to apply methods of GIS-based spatial analysis for modelling, quantitative estimation of the crucial thresholds for losses and changes in the mangrove ecosystems of... more
Project synopsis for Erasmus Mundus FONASO Programme. The research aim is to apply methods of GIS-based spatial analysis for modelling, quantitative estimation of the crucial thresholds for losses and changes in the mangrove ecosystems of north-eastern Australia, Queensland, as well as qualitative analysis of the impact of coastal changes on the mangrove sustainable development, and forecasting the possible scenarios in their future dynamics. Spatial analysis includes the classification of the research area into different zones by means of the environmental conditions and dynamics of the coastal areas to investigate the spatial patterns of the species diversity in the mangrove ecosystems. Mangroves, tropical plants growing in tropical climate with roots sub- merged in sea water, create unique ecosystems in the transitional intertidal zones between marine and terrestrial areas which give them special environmental characteristics. The highly productive mangrove forests, rich in species and genera diversity, have extremely ecological importance for the world ecology. Besides precious ecological function as habitats for tropical wildlife species, perfect protectors against coastal erosion and green belt increasing local carbon fixation, mangroves are important economic sources of food and firewood timber. The research is suggested to be technically based on ArcGIS 9.3 software as a major tool for spatial analysis and cartographic presentation; ENVI software will be used for processing and analysing geospatial imagery. GIS-based spatial analysis is suggested to detect close to water zones for depicturing mangrove areas, afterwards the raster processing techniques will be applied. The research data will include scenes from Landsat TM and ETM+ for several years in the same periods. The spatial analysis is based on the classification and investigation of the distribution of mangrove trees, which is necessary for the forecasting and prognosis of the future situation of mangrove ecosystems, and analysis of their response towards the environmental changes.
Research Interests: Environmental Engineering, Geography, Environmental Science, Computer Science, Computer Vision, and 15 moreEducation, Educational Technology, Image Processing, Remote Sensing, Machine Learning, Research Methodology, Environmental Studies, Sustainable Development, Mangroves, Mangrove Ecology, Environmental Sustainability, Remote sensing and GIS applications in Landscape Research, Research, Remote Sensing and Mangrove, and Geographic Information Systems (GIS)
Research Proposal for the TÜBİTAK Scholarship aimed at research stay at the Eurasia Institute of Earth Sciences, Istanbul Technical University. Research focus is GIS based analysis of the land cover changes in the Anatolian Plateau,... more
Research Proposal for the TÜBİTAK Scholarship aimed at research stay at the Eurasia Institute of Earth Sciences, Istanbul Technical University. Research focus is GIS based analysis of the land cover changes in the Anatolian Plateau, Turkey. Special objective is assessment of the adaptation of the ecosystems to climate change by means of spatial analysis. Spatial analysis of the thematic layers is supposed to be performed using Quantum GIS and ILWIS GIS. Spatial analysis of the geodata is aimed to perform physical-geographical overview and landscapes of the Anatolian Plateau using techniques of the satellite images classification. Images are taken at different time, classified and compared. Research is aimed to analyze distribution of various land use types over regions of Eastern Turkey. The proposal is scheduled at two months.
Research Interests: Environmental Engineering, Geography, Physical Geography, Earth Sciences, Environmental Science, and 15 moreComputer Science, Education, Image Processing, Social Sciences, Climate Change, Machine Learning, Resilience, Environmental Studies, Sustainable Development, Ecology, Remote Sensing (Earth Sciences), Environmental Sustainability, Remote sensing and GIS applications in Landscape Research, Remote sensing and GIS, and Geographic Information Systems (GIS)
Research plan for the application at Technische Universität (TU Dresden), Institut für Kartographie. Supervisor: Prof. Dr. Manfred Buchroithner. Current work focuses on GIS based monitoring of the environmental changes in the Tian Shan... more
Research plan for the application at Technische Universität (TU Dresden), Institut für Kartographie. Supervisor: Prof. Dr. Manfred Buchroithner. Current work focuses on GIS based monitoring of the environmental changes in the Tian Shan ecosystems: 1) temporal dynamics of glaciers distribution using remote sensing imagery, based on the spatial analysis of the satellite and aerial images using classification techniques. Temporal dynamics covers time span of 30 years (since 1980); 2) spatial analysis of the land cover types in Tian Shan to detect, visualize and map landscapes changes over the past 30 years. The research aims to apply methods of spatial analysis based on open source GIS: GRASS GIS, GMT, Idrisi GIS. Research objective is mapping land cover types and their quantitative estimation in Tian Shan region, with special attention towards coniferous forests areas as the most precious ecosystems of Tian Shan. It is also intended to investigate glacier melting, losses in coniferous forests, and to perform biodiversity change detection as qualitative analysis of the impact of the environmental changes. Spatial analysis includes classification of the research area into ecozones by means of the GIS based geomorphic and environmental analysis using GIS based satellite image processing. The proposed research is intended for 3 years.
Research Interests: Landscape Ecology, Geography, Human Geography, Earth Sciences, Environmental Science, and 15 moreComputer Science, Algorithms, Economic Geography, Education, Remote Sensing, Science Education, Research Methodology, Higher Education, Sustainable Development, Ecology, Environmental Sustainability, Natural Science, Remote sensing and GIS applications in Landscape Research, Remote sensing and GIS, and Geographic Information Systems (GIS)
Research proposal for the application at DoRa Scholarship. Host organization: University of Tartu, Faculty of Science and Technology, Institute of Ecology and Earth Sciences, Department of Geography, Chair of Geoinformatics and... more
Research proposal for the application at DoRa Scholarship. Host organization: University of Tartu, Faculty of Science and Technology, Institute of Ecology and Earth Sciences, Department of Geography, Chair of Geoinformatics and Cartography, Tartu, Estonia. Research Topic: Spatial analysis of urban dynamics: effects of sociopolitical changes on landscape structure in Estonia. Region of Interest: Estonia, selected test sites (urban and sub-urban areas). Research aims: 1) Multiscale mapping of land use patterns using remote sensing data; 2). Spatial analysis of changes in landscape structure and urban sprawl. Research purpose: Application of the advanced GIS technologies and remote sensing data to study changes in the selected landscapes of Estonia, during the 3 decades (1980-2010). Technical background: GIS tools (ArcGIS and Erdas Imagine). Research proposal is scheduled on two months.
Research Interests: Landscape Ecology, Geography, Human Geography, Earth Sciences, Computer Science, and 15 moreHuman Computer Interaction, Tourism Studies, Education, Image Processing, Social Sciences, Data Mining, Research Methodology, Database Systems, Educational Research, Political Science, Sustainable Development, Environmental Sustainability, Digital Image Processing, Tourism, and Geographic Information Systems (GIS)
Application of remote sensing data & GIS methods for spatial analysis of land cover changes in urban environment: case study of Brussels, Belgium. Research purpose: application of the open source GIS technologies & RS data (Landsat TM) to... more
Application of remote sensing data & GIS methods for spatial analysis of land cover changes in urban environment: case study of Brussels, Belgium. Research purpose: application of the open source GIS technologies & RS data (Landsat TM) to study changes in land cover patterns and urban landscapes in the Bruxelles area during the last two decades (1990-2010). The results of the study will be visualized as (1-2) maps detecting changes in land use. GIS Open source geodata sources: geodata sources for the analysis of the landscape changes include aerial and satellite images from different time period (10-20 years). The available open sources will include some from the following: satellite imagery from USGS, The Earth Science Data Interface , GloVis, aerial images (Google Earth), free Digital Elevation Models. The research plan is scheduled for 2 months.
Research Interests: Geography, Human Geography, Cartography, Physical Geography, Computer Science, and 15 moreHuman Computer Interaction, Education, Educational Technology, Image Processing, Remote Sensing, Spatial Analysis, Research Methodology, Data Analysis, Environmental Sustainability, Algorithm, Digital Image Processing, Mapping, Research Proposal, Geographic Information Systems (GIS), and GIS
Application of the remote sensing data (Landsat TM satellite images) and GIS methods for spatial analysis of the land cover changes and environmental monitoring of the landscapes in Hungary. The landscape has been changed in Hungary in... more
Application of the remote sensing data (Landsat TM satellite images) and GIS methods for spatial analysis of the land cover changes and environmental monitoring of the landscapes in Hungary. The landscape has been changed in Hungary in recent years due to the environmental change, amended agricultural practices and housing development. The Google Earth aerial photographs and Landsat TM scenes provide an important record of the landscape at the current moment as well as giving a retrospective assessment for the past, against which future changes can be analysed, monitored and possible development discussed. The proposed research work is suggested to be technically based on the following instruments and data. The main software that will be used is GIS. The spatial analysis includes classification of the research area into different ecozones by means of the analysis of geomorphological and environmental conditions. Spatial analysis of the landscape structure in Hungary will help to highlight adaptation of its dif- ferent ecoregions towards the changing environment: which regions undergone any changes and are, therefore, most environmentally vulnerable and have lesser resistance capability towards global climate change. The detection of the land cover expansion or reduction will display areas with the most rapid changes in the landscape structure of Hungary. Time schedule: 6 (six) months.
Research Interests: Environmental Engineering, Landscape Ecology, Geography, Environmental Science, Computer Science, and 15 moreAlgorithms, Education, Image Processing, Social Sciences, Science Education, Machine Learning, Research Methodology, Environmental Studies, Political Science, Sustainable Development, Ecology, Sustainable Water Resources Management, Environmental Sustainability, Remote sensing and GIS, and Geographic Information Systems (GIS)
La zone d'études est situé dans le sud de la France, en province de Languedoc, France. Cette région comprend une grande variété des paysages: plaines basses sédimentaires avec des vignobles ou des céréales, des plateaux calcaires sèches... more
La zone d'études est situé dans le sud de la France, en province de Languedoc, France. Cette région comprend une grande variété des paysages: plaines basses sédimentaires avec des vignobles ou des céréales, des plateaux calcaires sèches avec des zones arbustives et les forêts à feuilles persistantes de chêne, les pentes des montagnes du Paléozoïque couvertes de forêts, et hauts plateaux volcaniques et granitiques avec prairies. Les questions de recherche: Identifier les factors principales et les actions qui influence développement du territoire côtières méditerranéens de sud de la France. Les zones côtières sont-ils développée plutôt en période contemporaine ou de période Néolithique? Comparer la dynamique général. Quelle facteurs parmi les autres sont le plus important pour le changement de territoire (géomorphologique, climatiques, humaine) ? Quels régions du territoire sont à plus fort potentiel de dynamique ? Sur les prospects environnementaux, comment les paysages va évoluer à très court terme (20-30 ans) ? Utiliser les images satellites, e.g. Landsat TM. Quels sites nécessitent une prospection archéologique prioritaire afin d’éviter la perte ou changement inévitable de paysages ? Visualiser les zones «en risque», «d'attention prioritaire». Zoner le territoire en utilisant les méthodes d'analyse spatial de SIG. L'analyse spatiale en utilisant le GRASS SIG: changements du paysage par l'analyse d’images satellites Landsat, SPOT, leurs traitements quantitatifs. La méthode combine analyse spatiale, simulation numérique de dynamique environnemental et preuves historiques (Petit Age Glaciaire) et archéologiques de changement fluviaux du territoire.
Research Interests: History, Landscape Ecology, Geography, Human Geography, Cultural Geography, and 15 moreArchaeology, Computer Science, Human Computer Interaction, Economic Geography, Education, Educational Technology, Image Processing, Teacher Education, Geoarchaeology, Science Education, Machine Learning, Sustainable Development, Environmental Sustainability, Geoarchaeology and Paleoenvironmental Reconstructions, and Geographic Information Systems (GIS)
Research aim is to detect trends in geographical and environmental conditions of the northern ecosystems during the past 40 years (since 1970-s). Research objectives are spatial analysis and mapping of the land cover classes in northern... more
Research aim is to detect trends in geographical and environmental conditions of the northern ecosystems during the past 40 years (since 1970-s). Research objectives are spatial analysis and mapping of the land cover classes in northern Finland in the context of the protection and monitoring of the northern environment in Lappish ecosystems. Technical implementation of the research is based on the following: 1) ArcGIS 9.3 software as a major tool for spatial analysis and cartographic presentatio; 2) ENVI software for the raster processing and analyzing geospatial imagery; 3) DIVA-GIS freeware for biodiversity assessment and mapping. Research objective of the raster analysis is the investigation of the distribution of different land cover classes in Lappish landscapes over period of 30-40 years (depending on availability of suitable satellite images). The dynamics in trends of changes will be used for the forecasting and prognosis of the probable future situation in northern ecosystems, as well as analysis of their response towards the environmental and climate changes in the high North. research proposal is scheduled in 6 (six) month for author's research stay at Arctic Centre, University of Lapland.
Research Interests: Environmental Engineering, Geography, Human Geography, Earth Sciences, Environmental Science, and 15 moreAlgorithms, Education, Educational Technology, Image Processing, Remote Sensing, Science Education, Machine Learning, Sustainable Development, Ecology, Sustainable Tourism, Environmental Sustainability, Remote sensing and GIS, Digital Image Processing, Geographic Information Systems (GIS), and Sustainability
Research Proposal for the CIMO Scholarship Application at Department of Environmental Science, University of Kuopio, Finland. The proposed research aims at the environmental monitoring of the Finnish ecosystems through database... more
Research Proposal for the CIMO Scholarship Application at Department of Environmental Science, University of Kuopio, Finland. The proposed research aims at the environmental monitoring of the Finnish ecosystems through database management. Research objective is to systematically collect, analyze and manage geographic and environmental data. Organizing data from previous GIS projects into one database is done using MS Access and cartographic database management: ArcGIS 9.1, ArcCatalogue. Work aims at facilitating access for multi-temporal data. The bioecological and chemical data include flux concentrations of the environmental pollutants: heavy metals, pesticides, gases (H2SO4 CO2, CH4, N2O, NO). The data are measured during University fieldwork. The data are organized and fieldwork measurements georeferenced using ArcCatalog and ArcGIS.
Research Interests: Environmental Engineering, Landscape Ecology, Geography, Human Geography, Cartography, and 15 morePhysical Geography, Earth Sciences, Computer Science, Economic Geography, Education, Social Sciences, Machine Learning, Data Mining, Database Systems, Political Science, Ecology, Environmental Sustainability, Geo-spatial analysis with GIS and GPS, Remote sensing and GIS, and Geographic Information Systems (GIS)
Detaillierter Arbeitsplan für das Forschungsaufenalt) for the application at ÖAD Scholarship. Host organization: Universität Wien, Fakultät für Geowissenschaften, Geographie und Astronomie, Institut für Geographie und Regionalforschung,... more
Detaillierter Arbeitsplan für das Forschungsaufenalt) for the application at ÖAD Scholarship. Host organization: Universität Wien, Fakultät für Geowissenschaften, Geographie und Astronomie, Institut für Geographie und Regionalforschung, Geomorphologische Arbeitsgruppe. Forschungsschwerpunkten: 1). Risikoeinschätzung und naturlichen Gefahren in Alpen 2). Dynamik der Menschensiedlungen in Alpen. Risikoeinschätzung und Analyse der naturlichen Gefahren Analyse der Risiko- forschung der Menschensiedlungen in Alpen: Bergstürze, Gletscherschwund, Schlammlawinen oder Überschwemmungen. Einschätzung der von Gletscher ausgehenden Gefahren in Gebirgen. Analyse der Auswirkungen der globale Klimawandel auf die natürliche Dynamik der Gletscherschwund in den Österreichischen Hochgebirgen, nutzend Satellitenbilder und Karten. GIS-Projekts in Arc GIS. Research Proposal (Detaillierter Arbeitsplan für das Forschungsaufenalt) for the application at ÖAD Scholarship. Host organization: Universität Wien, an der Universität Wien, Fakultät für Geowissenschaften, Geographie und Astronomie, Institut für Geographie und Regionalforschung, Geomorphologische Arbeitsgruppe, under the supervision of Univ.-Prof. Dr. T. Glade. Zeitraum: von 01.März 2011 bis 01.Juli 2011.
Research Interests: Environmental Engineering, Landscape Ecology, Geography, Human Geography, Physical Geography, and 15 moreEnvironmental Science, Geology, Computer Science, Education, Educational Technology, Social Sciences, Science Education, Machine Learning, Higher Education, Sustainable Development, Ecology, Sustainable Water Resources Management, Environmental Sustainability, Remote sensing and GIS applications in Landscape Research, and Geographic Information Systems (GIS)
Das Ziel der Forschung ist die Herstellung eines geoökologischen Geoinformationssystems und digitaler geoökologischer Karten für das Gebiet der Arktis. Als Resultat sind geoökologische Karten der Arktis herzustellen, die den jetzigen... more
Das Ziel der Forschung ist die Herstellung eines geoökologischen Geoinformationssystems und digitaler geoökologischer Karten für das Gebiet der Arktis. Als Resultat sind geoökologische Karten der Arktis herzustellen, die den jetzigen Zustand des Polargebiets zeigen. Forschungsschritte: 1) Bearbeitung der vorhandenen bathymetrischen Karten; 2) Datenanalyse (geomorphologische, geologische, ozeanographische und klimatische, biologische, physisch-chemische Daten); 3) Modellierung; 4) Geoökologische Kartierung.
Research Interests: Environmental Engineering, Geography, Physical Geography, Earth Sciences, Environmental Science, and 15 moreGeology, Computer Science, Education, Educational Technology, Social Sciences, Spatial Analysis, Computer Engineering, Research Methods and Methodology, Research Methodology, Qualitative methodology, Sustainable Development, Ecology, Environmental Sustainability, Digital mapping, and Geographic Information Systems (GIS)
The seagrasses, a unique group of aquatic plants growing submerged in sea water, create unique, complex, extremely diversified and productive ecological systems in the littoral coastal zones between 0-50 meters in shallow waters all over... more
The seagrasses, a unique group of aquatic plants growing submerged in sea water, create unique, complex, extremely diversified and productive ecological systems in the littoral coastal zones between 0-50 meters in shallow waters all over the world (Hogarth, 2007), and serve as a valuable environmental indicators for the marine ecosystems health. The seagrasses contribute significantly to the balance of littoral ecosystems and are referred to as the “constructors” of ecosystems, being a component of marine ecosystems of high importance. The seagrass Posidonia oceanica is a key species to inhabit littoral of the Mediterranean Sea and is widely spread along the coasts of Crete (Dumay, 2002). P. oceanica plays an important role in a number of geomorphological and ecological processes such as followings: nutrient recycling through the reducing the degree of water movements and thus providing sediments stability, provision of food for herbivorous fauna as well as helter zones for fish and other marine organisms (Francour et al, 1999). The purpose of this MSc thesis to focus on a seagrass mapping (case study of Posidonia oceanica meadows) along the Cretan coasts, Greece. The current research aims to apply methods of remote sensing and GIS-based spatial analysis
for environmental monitoring of marine ecosystems. The technical
implementation is based on ENVI, Erdas Imagine and ArcGIS software using broadband RS data.
for environmental monitoring of marine ecosystems. The technical
implementation is based on ENVI, Erdas Imagine and ArcGIS software using broadband RS data.
Research Interests: Remote Sensing, Coastal Management, Sustainable Development, Coastal Geomorphology, Satellite remote sensing, and 10 moreRemote Sensing (Earth Sciences), Sustainable Water Resources Management, Remote sensing and GIS applications in Landscape Research, Remote sensing and GIS, Seagrass, Seagrass ecology, Integrated Coastal Zone Management, Seagrass and Coral Reef Restoration Projects, GIS & RS Applications, and Geographic Information Systems (GIS)
Research Interests:
Student Assignment 1 'Check Points for the GIS Project: Investigation of the Lake Victoria Region' for the module ’Geographical Information Systems: Advanced Course (GISA02)’. Current report presents a preparation for the GIS project... more
Student Assignment 1 'Check Points for the GIS Project: Investigation of the Lake Victoria Region' for the module ’Geographical Information Systems: Advanced Course (GISA02)’. Current report presents a preparation for the GIS project Victoria Lek, African region. An ArcGIS based spatial analysis of the Victoria Lake region was performed including environmental, biological, social and economic characteristics of the region. The methodology includes data organizing and management in ArcGIS 9.3. Operations and technique: ArcGIS Spatial Analyst. Project architecture: ArcCatalog. Spatial referencing and re-projection: ArcToolbox. Data include DEMs: elevations (USGS). 2 tiles of the USGS DEM, Land cover data (raster), Population data: UNEP, ArcGIS vector.shp files of administrative boundaries fof Uganda, Tanzania, Kenya. DEM catalogue: there are two available data of GTopo30 - E020N40.DEM and E020S10.DEM. E020N40.DEM covers territory of Kenya and Uganda, and E020S10.DEM shows south-eastern part of Tanzania. DEM files contain horizontal grid spacing of 30 arc seconds (approximately 1 km).
Minimum and Maximum latitude-longitude for the two DEM tiles and how these values relate to the name of the file. The name of the file E020S10.DEM means that the northern latitude in 10◦S and southern latitude reaches to the 60◦S; in east-west direction it stretches from 60 grad. E to the 20 grad. E. The total North-South extent is 50 grades. For the file E020N40.DEM its name means that the northern border is located on the 40grad. N and reaches 10 grad. S in the south.
According to the information from the Spatial Data Description/ Raster dataset information, in the metadata, number of bits per cell = 16 for both DEM tiles. Number of cells on x-axis is 250, 291 on y-axis and 1 on Z for DEM_N40. Initial Geographic reference was WGS84, projection - Lambert Azimuthal Equal Area, which is common for each DEM USGS tile. The metadata with geo-referencing information for the images is available in .prj files. Spatial analysis: CON([in_grid] >= 32768,[in_grid] − 65536,[in_grid]). We used this expression to define correctly the diapason of the attribute values and check it up. In our case condition is that pixel values are more of equal than 32768 ([in_grid] >= 32768), in this case we pick up all the pixels with too high value and subtract 65536 from them, to receive negative values and thus, to indicate water areas exactly. First I merged both tiles of DEM file into one. Then I used CON-function to set all under-sea elevation data as negative. Then I collected all pixels with negative values by using ”V ALUE” <= 0 expression in function “select by attributes”. The total number of negative values (above -9999, below 0) is 26.696.796 pixels for the merged DEMs, located in 22.257 rows. In raster GRID Landuse we have 16 unique attribute classes representing different types of land use. The difference between the two methods is that the converting through GRID is more detailed way. Min/Max method has more values of cells ranging from 0 to 345487, while the “add data” method is changing from 0 till 16332. Visually, GRID looks more detailed as well
Minimum and Maximum latitude-longitude for the two DEM tiles and how these values relate to the name of the file. The name of the file E020S10.DEM means that the northern latitude in 10◦S and southern latitude reaches to the 60◦S; in east-west direction it stretches from 60 grad. E to the 20 grad. E. The total North-South extent is 50 grades. For the file E020N40.DEM its name means that the northern border is located on the 40grad. N and reaches 10 grad. S in the south.
According to the information from the Spatial Data Description/ Raster dataset information, in the metadata, number of bits per cell = 16 for both DEM tiles. Number of cells on x-axis is 250, 291 on y-axis and 1 on Z for DEM_N40. Initial Geographic reference was WGS84, projection - Lambert Azimuthal Equal Area, which is common for each DEM USGS tile. The metadata with geo-referencing information for the images is available in .prj files. Spatial analysis: CON([in_grid] >= 32768,[in_grid] − 65536,[in_grid]). We used this expression to define correctly the diapason of the attribute values and check it up. In our case condition is that pixel values are more of equal than 32768 ([in_grid] >= 32768), in this case we pick up all the pixels with too high value and subtract 65536 from them, to receive negative values and thus, to indicate water areas exactly. First I merged both tiles of DEM file into one. Then I used CON-function to set all under-sea elevation data as negative. Then I collected all pixels with negative values by using ”V ALUE” <= 0 expression in function “select by attributes”. The total number of negative values (above -9999, below 0) is 26.696.796 pixels for the merged DEMs, located in 22.257 rows. In raster GRID Landuse we have 16 unique attribute classes representing different types of land use. The difference between the two methods is that the converting through GRID is more detailed way. Min/Max method has more values of cells ranging from 0 to 345487, while the “add data” method is changing from 0 till 16332. Visually, GRID looks more detailed as well
Research Interests: Environmental Engineering, Geography, Earth Sciences, Environmental Science, Computer Science, and 15 moreInformation Science, Environmental Education, Social Sciences, Science Education, Data Mining, Environmental Studies, Data Analysis, Science, Environmental Management, Energy and Environment, Remote Sensing (Earth Sciences), Environmental Sustainability, Materials Science and Engineering, Data Structures, and Geographic Information Systems (GIS)
MSc Student Assignment Nr. 9 'Map Accuracy' on module ’Geographical Information Systems: Advanced Course (GISA02)’ Lund University, GIS Centre. The work details issues of the map accuracy: types, special features and differences.... more
MSc Student Assignment Nr. 9 'Map Accuracy' on module ’Geographical Information Systems: Advanced Course (GISA02)’ Lund University, GIS Centre. The work details issues of the map accuracy: types, special features and differences. Overall/Total Accuracy is calculated using the formula: SUM A/N , where A is number of correctly mapped points (422) and N is the total number of points (490). Overall accuracy=84\%. User/Object Accuracy is the probability of a point on the Newmap map to belong to the same class in the class on Idrisi map. It is calculated as SUM of correctly points divided by the total SUM of the map points. Total number of points: 490 Total number of corrected points: 412. Producer/Classification Accuracy shows the probability of a chosen point on the Newmap to have the same class on the Idrisi map. Therefore, it is measured as SUM of correctly mapped points of each class divided by the SUM of the points on the Idrisi map. Mean Accuracy Mean accuracy is computed as the following expression: It is a (number of correctly mapped points) ∗2/ SUM (points at Newmap + points at Idrisi map) for each class. Areal difference is a difference between the number of new map points and the Idrisi Map points divided by the number of Idrisi Map points for each class. Kappa coefficient of agreement. Kappa coefficient (κ) of agreement for individual classes is calculated as the following expression: kappa=(N ∗ di − qi)/(N ∗ Bi − qi), where N- total number of points d- SUM of correctly mapped points q- SUM of the Idrisi points and the new map points B- number of Idrisi points. According to the final results of the current work on the map accuracy estimations, the new map is 84\% better than the one generated by random.
Research Interests: Information Systems, Earth Sciences, Environmental Science, Computer Science, Information Science, and 15 moreInformation Technology, Philosophy of Science, Social Sciences, Science Education, Data Mining, Data Analysis, Political Science, Science, Archaeological GIS, Remote sensing and GIS applications in Landscape Research, Geo-spatial analysis with GIS and GPS, Remote sensing and GIS, Data Structures, Datastructures and Algorithms, and Geographic Information Systems (GIS)
MSc Student Assignment Nr. 8 'Data Types' on module ’Geographical Information Systems: Advanced Course (GISA02)’ Lund University, GIS Centre. The work reports several transformations of data in binary system: Big-Endian, Little-Endian,... more
MSc Student Assignment Nr. 8 'Data Types' on module ’Geographical Information Systems: Advanced Course (GISA02)’ Lund University, GIS Centre. The work reports several transformations of data in binary system: Big-Endian, Little-Endian, Decimal, 2-bytes. Also, the exercise on minimizing computer storage is performed.
Research Interests: Information Systems, Environmental Engineering, Earth Sciences, Environmental Science, Computer Science, and 15 moreInformation Science, Information Technology, Philosophy of Science, Social Sciences, Science Education, Data Mining, Database Systems, Environmental Studies, Data Analysis, Political Science, Science, Environmental Sustainability, Databases, Data Structures, and Geographic Information Systems (GIS)
MSc Student Assignment Nr. 7 'GPS Measurements and Transformations' on module ’Geographical Information Systems: Advanced Course (GISA02)’ Lund University, GIS Centre. The work reports a workflow on GPS measurements and coordinate... more
MSc Student Assignment Nr. 7 'GPS Measurements and Transformations' on module ’Geographical Information Systems: Advanced Course (GISA02)’ Lund University, GIS Centre. The work reports a workflow on GPS measurements and coordinate transformations (a case study is Falsterbo peninsula, Southern Sweden). Misplaced coordinates are updated using ArcGIS. The displacement between the two points represented the same location in two different coordinate systems is 166.23 m. Sample points are located in the main territory of the Lund University. The coinciding layers are RT90 and Svenskt coordinate system: the coordinates there are very similar, and in the medium-scale representation of the map (more than 1:4000) they coincide completely. In large-scale representation (>1:4000) we can observe the little discrepancy between the layers. These layers (RT90 and RT90 2.5 gonV) almost coincide because they use the same Datum RT90, while the WGS 84 measurements are based on the different Datum, which is not identical to the RT90. The layers having biggest difference are measurements made using WGS84 datum and RT90 and RT2.5gonV, respectively. Exact discrepancy between the measurements from the Svenskt coordinate system and two other points is the following: Point 1:24.59 m towards WGS84 and 13.35 m towards RT90; Point 2: 19.50 m towards WGS 84; Point 3: 5.21 m to RT90 and 24.40 m to WGS84; Point 4: 4.72 meters to RT90 and 22.40m to WGS84; Point 5: 16.04 m from the Svenskt coordinate to the WGS 84; RT90 and Svenskt coordinate coincide in this case. The gap between the layers occurs due to the different Datums (WGS 84 and RT90) used in the coordinate systems which place the points slightly differently.
Research Interests: Cartography, Earth Sciences, Environmental Science, Computer Science, Information Science, and 15 morePhilosophy of Science, Social Sciences, Science Education, Data Analysis, Political Science, GPS Applications, Science, Geo-spatial analysis with GIS and GPS, Mapping, Digital mapping, GPS and civil engineering, Digital cartography, GNSS and GPS, Geodesy and Global Positioning System (GPS) and Their Applications In Earth Sciences, and Geographic Information Systems (GIS)
MSc Student Assignment Nr. 6 'Coordinates and Map Projections' on module ’Geographical Information Systems: Advanced Course (GISA02)’ Lund University, GIS Centre. The work briefly reviews the main types of projections, the differences... more
MSc Student Assignment Nr. 6 'Coordinates and Map Projections' on module ’Geographical Information Systems: Advanced Course (GISA02)’ Lund University, GIS Centre. The work briefly reviews the main types of projections, the differences between them, particular features and characteristics. The study case is Canadian territory. Several projection types are reviewed: Canada Albers Equal Area Conic, Lambert Conformal Conic, Mercator - cylindrical, UTM – cylindrical transverse, Ortographic – azimuthal. UTM Zone 10 is suitable and accurate for the Yukon Territory. According to the assignment, various projections are selected for different purposes: Canada Albers Equal Area Conic projection for the area calculations; Lambert Conformal Conic projection – for routes and roads mapping (preserves angles); Mercator projection – for navigation purposes around Canada in the coastal waters; UTM projection – for general topographic or thematic mapping in each Zone; Ortographic projection – for visual representation of Canada’s location in the Earth planet; Area calculation of Canadian forests will be done best using Canada Albers Equal Area Conic projection. In case if we need to make local calculations within districts or regions, it is also reasonable to use relevant Zone of the UTM projection. Standard parallels for the Canada Albers Equal Area Conic projection are 50 grd N and 70 grd N.
Research Interests: Environmental Engineering, Geography, Cartography, Earth Sciences, Environmental Science, and 15 moreComputer Science, Information Technology, Philosophy of Science, Environmental Education, Social Sciences, Computer Engineering, Data Mining, Environmental Studies, Political Science, Geoinformatics, Environmental Sustainability, Remote sensing and GIS, Earth and Environmental Sciences, IT Project Management, and Geographic Information Systems (GIS)
MSc Student Assignment Nr. 3 on module ’Geographical Information Systems: Advanced Course (GISA02)’ Lund University, GIS Centre. The work presents a research on using datasets, working with databases in ArcGIS environment: creating... more
MSc Student Assignment Nr. 3 on module ’Geographical Information Systems: Advanced Course (GISA02)’ Lund University, GIS Centre. The work presents a research on using datasets, working with databases in ArcGIS environment: creating connections, exporting results, adding new field containing reclassification using Spatial Analyst extension, making logical SQL-queries for different available attributes. “Select by Location” and “Select by Attributes” functions were used for data analysis which creates following relationships: intersect, are within, touch the boundary of, ’are crossed by the outline of, contain, share a line segment with, are within distance.
Research Interests: Earth Sciences, Environmental Science, Computer Science, Information Science, Information Technology, and 15 morePhilosophy of Science, Computer Vision, Social Sciences, Science Education, Data Mining, Database Systems, Political Science, Geoinformatics, Science, Remote sensing and GIS, Databases, Applications of Geoinformatics in Earth science, Surveying and Geoinformatics, Geographic Information Systems (GIS), and Database
MSc Student Assignment Nr. 2 'Interpolation' on module ’Geographical Information Systems: Advanced Course (GISA02)’ Lund University, GIS Centre. The work presents a research on interpolation of data in Arc GIS. Local and global... more
MSc Student Assignment Nr. 2 'Interpolation' on module ’Geographical Information Systems: Advanced Course (GISA02)’ Lund University, GIS Centre. The work presents a research on interpolation of data in Arc GIS. Local and global interpolations are compared and differences highlighted. 3 interpolation methods are tested: Kriging, Spline and IDW. The IDW, Nearest Neighbor and Spline method are local interpolations: they value distances between the interpolating point and its neighborhood based on the neighbor measured values. Trend Surfaces Interpolation method is a global interpolation method and it is based on general assessing the trends in the surface. Spline gives very smooth surface of the area when interpolating. It minimizes overall roughness and extremities in the relief of the surface. Resulting values of Spline are varying from -2,051.259033 until 6,934.932617. In the practical 9 classes as the most representative are made. The best results are represented by the lowest values of the RMSE (Kriging by Cross-Validation). Method of spatial autocorrelation is tested to measure and to analyze the how much the variables are dependent with each other in a space. It means that the values of the variables are compared with each other and estimated the degree of dependency among the values. Points-based and line-based interpolations are both used for interpolation of the surfaces. Global interpolation methods are more sensible to the outliners, because they are indifferent to the local nuances of the surface, which is not the case with local interpolation methods: the last ones are very sensitive to the neighborhood, can good assess local relief characteristics, and therefore interpolate good a surface for the small outliner-area.
Research Interests: Environmental Engineering, Geography, Earth Sciences, Environmental Science, Computer Science, and 15 morePhilosophy of Science, Social Sciences, Computer Engineering, Science Education, Data Mining, Environmental Studies, Data Analysis, Political Science, Geoinformatics, Environmental Sustainability, Interpolation (Geostatistics), Remote sensing and GIS, Interpolation, Spline Interpolation, and Geographic Information Systems (GIS)
Student Assignment Nr. 5 'Topographic Modelling' for the for the module ’Geographical Information Systems: Advanced Course (GISA02)’. Several exercises on ArcGIS for topographic modelling are performed. Slopes for the 3D model were... more
Student Assignment Nr. 5 'Topographic Modelling' for the for the module ’Geographical Information Systems: Advanced Course (GISA02)’. Several exercises on ArcGIS for topographic modelling are performed. Slopes for the 3D model were calculated using ArcGIS Spatial Analyst module, which is based on mathematic calculations of the maximum rate of change between cell and its neighbours. Each cell has its place in the matrix of the cells, and is surrounded by the neighbouring cells. To calculate the slope ArcGIS was used to computes the difference between the values of the cells (8 neighbouring cells). Estimation of aspect was donefor searching of slope direction (north-facing or south-facing slopes on a mountain). To estimate aspect, ArcGIS was used Surface Analyst, which includes Map Algebra, i.e. estimation of the maximum rate of change in value from each cell to its neighbors in the cell values matrix. Results include computed and visualized aspect criteria (only north facing, from 2700 W to 900E) fill 462424 cells. Slope criteria (flat ground up to 50) fill 259643 cells. Reclassification method was used to create one raster filling both criteria was following: Surface Analyst was used to create Slopes and Aspect rasters from the initial DEM raster. The calculated area of the potential plant growing sites based on the Slope and Aspect criteria is 863095500 m2, which is 106555 cells times 8100 (cell resolution). To receive this result I multiplied both rasters of Slope and Aspect conditions using ArcGIS Raster Calculator and received new raster filling both criteria. The overlay operator is Spatial Analyst – Raster Calculation – Multiplication (*).
Research Interests: Geography, Human Geography, Environmental Science, Computer Science, Information Science, and 15 morePhilosophy of Science, Education, Educational Technology, Social Sciences, Remote Sensing, Spatial Analysis, Teacher Education, Science Education, Data Mining, Mathematics Education, Data Analysis, Political Science, Science, Remote sensing and GIS, and Geographic Information Systems (GIS)
Student Assignment 4 'Fuzzy Logic' for the module ’Geographical Information Systems: Advanced Course (GISA02)’. A fuzzy modelling is based on the calculation of values of a membership function of each land class. It means that we assess... more
Student Assignment 4 'Fuzzy Logic' for the module ’Geographical Information Systems: Advanced Course (GISA02)’. A fuzzy modelling is based on the calculation of values of a membership function of each land class. It means that we assess each parcel of the study area, whether it is suitable land or not, using the chemical, soil, moisture and physical characteristics. This probability lies in the values between 0 and 1 for each land variable. These fuzzy membership values were computed using convex combination technique, both using equal weights and weighted values. Fuzzy membership function are analyzed and graphs presented. Using fuzzy logic method, raster layers were analyzed in ArcGIS for the land suitability assessment. In terms of suitability, the lower the fuzzy value, the less suitable is that parameter. The Convex combination function was calculated with weighted values or with equal values of fuzzy parameters. One with weighted values gives more detailed results of land suitability than that with equal values, as it takes into account values of soil characteristics according to their importance (land use cases). Results: The total areas of the grid cells with fuzzy values above 0.5 (which is above 6th class in new classification) are 46651 for the weighted convex combination and 47636 for the equal weights convex. The total area of sells with fuzzy values above 0.75 (which is above 8th class in new classification) is 36424 for the weighted convex combination and 42716 for the equal weights convex combination. Land-suitability maps illustrating assessment of the suitability of land class for wet paddy cropping. The technical part of our calculations included a convex combination, which allows trade-offs between criteria of the raster layer “texture” or “drainage”, and a min-max AND function, with no compensation between groups.
Research Interests: Information Systems, Earth Sciences, Environmental Science, Computer Science, Information Science, and 15 moreInformation Technology, Philosophy of Science, Education, Logic, Educational Technology, Informatics, Social Sciences, Teacher Education, Science Education, Higher Education, Mathematics Education, Fuzzy Logic, Data Analysis, Political Science, and Geographic Information Systems (GIS)
Student assignment report for GIS Project: Investigation of the Lake Victoria. Advanced GIS Course, MSc GEM Course 2009/2010. Region: the study area encompasses region of Victoria Lake and 3 adjoining countries: Tanzania, Kenya and... more
Student assignment report for GIS Project: Investigation of the Lake Victoria. Advanced GIS Course, MSc GEM Course 2009/2010. Region: the study area encompasses region of Victoria Lake and 3 adjoining countries: Tanzania, Kenya and Uganda. Lake Victoria is the second largest fresh water body on the Earth with unique environment giving origin of the Nile waters. methodology includes following steps: 1) Administrative data preparation; 2) Climatic precipitation data conversion; 3) DEM raster processing; 4) Land Cover Map preparation and processing; 5) Population data processing; 6) Areas Calculations. The environmental GIS Project of the Victoria Lake region was based on the ArcGIS processing and modelling thematic data, both in raster and vector formats. Results include the following issues: Main Results 1. Computed prognosis of total population of countries by 2030: Kenya - 67,032,221; Tanzania - 86,375,938; Uganda - 44,202,232. 2. Computed cropland needed in 2030 to maintain population in 2030 the following areas of : Kenya – 248,778 km2; Tanzania – 991,469 km2; Uganda - 153,992 km2. 3. Calculations: from the total forest area the following percentage has to be converted to cropland in 2030: Kenya – 370\%; Tanzania – 148\%; Uganda - 618\%. The needs for the cropland exceed the existing areas of forests available 4. From the area of protected zones the following amount of forests can be converted to cropland inside and outside protected areas: Inside protected areas: Kenya – 9km2; Tanzania –1025 km2; Uganda - 15km2. Outside protected areas: Kenya – 795km2; Tanzania – 6484km2; Uganda - 242km2. ArcGIS analysis enabled to perform correlation of spatial distribution of cropland areas with precipitation and topography in Uganda, Tanzania and Kenya. Created DEM and classified the total area into land cover types (16 classes). Mapping include map of population (by population statistics) with selected land classes in protected areas. This is a student assignment, a part of the MSc studies, Lund University.
Research Interests: Environmental Engineering, Geography, Human Geography, African Studies, Environmental Science, and 15 moreEducation, Educational Technology, Environmental Education, Teacher Education, Science Education, Data Mining, Higher Education, Environmental Studies, Educational Research, Sustainable Development, Africa, Sustainable Water Resources Management, Environmental Sustainability, Africana Studies, and Geographic Information Systems (GIS)
Exercise 2: Critical Reading, based on the publication: Cayuela L., Benayas J.M.R., Echeverria C. 2006. Clearance and fragmentation of tropical montane forests in the Highlands of Chiapas, Mexico (1975-2000). Forest Ecology and Management... more
Exercise 2: Critical Reading, based on the publication: Cayuela L., Benayas J.M.R., Echeverria C. 2006. Clearance and fragmentation of tropical montane forests in the Highlands of Chiapas, Mexico (1975-2000). Forest Ecology and Management 226, 208-218.
Research Interests: Earth Sciences, Environmental Science, Computer Science, Information Science, Information Technology, and 15 moreEducation, Sociology of Education, Educational Technology, Social Sciences, Teacher Education, Science Education, Higher Education, Training and Development, Educational Research, Learning and Teaching, Science, ICT in Education, Reading, Teacher Training, and Reading Comprehension
This work is a student assignment for the Module 12A: ’Environmental Management and Policy in Central Europe’. Environmental Management Project based on GIS-Analysis, University of Warsaw, MSc GEM Course. Brudzeń Landscape Park (BLP) is... more
This work is a student assignment for the Module 12A: ’Environmental Management and Policy in Central Europe’. Environmental Management Project based on GIS-Analysis, University of Warsaw, MSc GEM Course. Brudzeń Landscape Park (BLP) is an environmentally protected area located in the centre of Poland in Masovian Voivodeship (Województwo Mazowieckie) near the historical city of Płock. It includes forests, numerous little lakes and famous Vistula River and very beautiful surroundings. The unique nature of the park as well as its location in the centre of Poland enables perfect conditions for the construction of the S PA-hotel resort within the BLP Park. The main purpose of the hotel is to let guests enjoy the nature, recover their health and explore Poland. Current research focuses on the GIS analysis of the most optimal place location for the hotel within the BLP Park. The alternative environmental analysis of three possible locations has been used for the final decision. Spatial analysis was implemented using ArcGIS 9.2 (ArcMap and ArcCatalog).
Research Interests: Environmental Engineering, Geography, Human Geography, Social Geography, Physical Geography, and 15 moreEnvironmental Science, Tourism Studies, Education, Tourism Marketing, Tourism Management, Educational Technology, Teacher Education, Higher Education, Environmental Studies, Data Analysis, Travel & Tourism, Sustainable Tourism, Environmental Sustainability, Tourism, and Travel and Tourism Industry
This is a student assignment work (part of the MSc GEM studies), for module 12A: 'Environmental Management and Policy in Central Europe'. Essay focuses on the environmental problems of the Taseko Mines Gold-Copper Mine, located in Canada,... more
This is a student assignment work (part of the MSc GEM studies), for module 12A: 'Environmental Management and Policy in Central Europe'. Essay focuses on the environmental problems of the Taseko Mines Gold-Copper Mine, located in Canada, British Columbia, 125 km south-west of Williams Lake. The project is running by the mining company Taseko which focuses on operating and developing copper and gold metals. Since 2009 the company Taseko started the provincially led Environmental Assessment (EA) project. The purpose of the proposal focuses on the following aims: 1. Utilization of the proven mineral reserve of the Prosperity deposit to create value and opportunity for the people of British Columbia and Canada and for the shareholders of Taseko; 2. Alternative assessment of environmental effects of the company’s activities and analysis of Project planning; 3. Environmental protection within the mining area and surroundings; maintenance of the sustainable development of the region. To compensate for the loss of fish in a Fish Lake and upstream and downstream spawning habitat, fish compensation works will be developed to be consistent environmental policies and legislation. The EA report also includes careful analysis of the hard rock large-scale mining in Taseko which may cause ecological threats and disrupt environment, such as: mining waste acid mine drainage as a result of sulphide oxidation, erosion and sedimentation, chemical and toxic constituents released into groundwater, dust emissions and water pollution. the Essay presents a student assignment on environmental assessment course.
Research Interests: Geography, Human Geography, Physical Geography, Environmental Science, Geology, and 15 moreEnvironmental Economics, Education, Educational Technology, Environmental Education, Science Education, Economic Geology, Higher Education, Environmental Studies, Educational Research, Sustainable Development, Environmental Management, Mining, Environmental Sustainability, Engineering Geology, and Canada
This student essay focuses on the technical description of the remote sensing techniques and their advantages for environmental monitoring aimed at investigating speed of invasion of the bracken (Pteridium aquilinum) in the selected study... more
This student essay focuses on the technical description of the remote sensing techniques and their advantages for environmental monitoring aimed at investigating speed of invasion of the bracken (Pteridium aquilinum) in the selected study area (New Forest, New Hampshire, UK). Tools and data include ENVI GIS software and Landsat Imagery. Using classification of the satellite imagery the exact area where the spread of bracken took place was highlighted. The research include following steps: 1) satellite images were geometrically corrected; 2) images were enhanced by stressing vegetation areas and making the nuances of green color; 3) NDVI was calculated: a ratio of difference and sum of the values in spectral reflectance in NIR and red bands: NDVI=(NIR-Red)/(NIR + Red); 4) supervised classification performed; 5) thematic mapping. Comparative analysis of bracken change during the years was performed, spatio-temporal analysis is performed: speed of bracken's spreading year (change of bracken coverage in percents). This technique is useful for environmental decisions making and protecting unique ecosystem of the National Park of the New Forest, New Hampshire, UK.
Research Interests: Environmental Engineering, Landscape Ecology, Geography, Earth Sciences, Computer Science, and 15 moreEducation, Social Sciences, Science Education, Research Methodology, Higher Education, Data Analysis, Geoinformatics, Ecology, Quantitative Methods, Environmental Sustainability, Remote sensing and GIS applications in Landscape Research, Remote sensing and GIS, Geoinformation, Earth and Environmental Sciences, and Geographic Information Systems (GIS)
1 Model 1. Description of the Brief Conceptual Model of the Database Preparation 1.1 Description of the Source Data Used For the Victoria Lake region GIS Project we have following available thematic data: → Shape files of administrative... more
1 Model 1. Description of the Brief Conceptual Model of the Database Preparation 1.1 Description of the Source Data Used For the Victoria Lake region GIS Project we have following available thematic data: → Shape files of administrative boundaries (ArcGIS compatible format .shp), separately for Uganda, Tanzania and Kenya. Each .shp file has also additional supporting files like as .shx and .prj, which show additional information about projection, metadata etc. Also available UNEP grids for the same territories → Precipitation climatic data in .txt format, containing meteorological data in digital format: precipitation values in different months and years. → Digital Elevation Models (DEMs) showing relief characteristics and elevation of the research area. Data are taken from USGS website. There are two available data of GTopo30-E020N40.DEM covering territory of Kenya and Uganda, and E020S10.DEM showing southeastern part of Tanzania. DEM files contain horizontal grid spacing of 30 arc seconds (approximately 1 km). → Land Cover data in raster format which is stored in .bsq format: IGBP.bsq. This file is a part of the global land cover characteristics database. The pixel values correspond to class numbers defined in the appropriate land cover classification scheme legend. The data projected in the Lambert Azimuthal Equal Area projection for the Africa land cover characteristics. → Population data were downloaded from the UNEP website. They contain raster data for the whole Africa continent. We have chosen two years for our research-data for 1990 and 2000 years. Each dataset had two different files-population density (popd00 and popd90 respectively) and population total. → As an additional data set we need miscellaneous data containing Landsat ETM+ images in MrSid formatS -36-00_2000.sid. i
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Empirical atmospheric correction techniques, like EML or RELM methods, use measurements of re- flectance on the ground using ground targets. The purpose of the ground targets in atmospheric correc- tion of Earth observation data is to set... more
Empirical atmospheric correction techniques, like EML or RELM methods, use measurements of re- flectance on the ground using ground targets. The purpose of the ground targets in atmospheric correc- tion of Earth observation data is to set a clear, single, well-characterized targets that will serve as model, standard examples of these types of Earth surface. The ground targets are stable, unchanging temporarily and spectrally flat, that’s why they are important for the atmospheric correction of the airborne images. The uniform special-temporal stability of the GCP’s is necessary for the calibration and atmospheric cor- rection of the EO data. Provision of spectral ground target data for the image classification is therefore a technique which is widely used in radiometric calibration and quantitative analysis (Rollin et al). The tar- get size is related to the sensor spatial resolution, radiometric quality and also to other site-specific factors such as atmospheric conditions and the contrasting reflectance of surrounding surfaces. The ground data are important key element in the techniques of the atmospheric correction both in ELM and in RELM meth- ods for accurate results in image interpretation, because the empirical line method for the atmospheric correction is only possible when calibration ground target are available. Important is to choose targets ranged from dark reflectance targets (like asphalt) until those having bright reflective (e.g. concrete, sand, or light soils). Using correctly chosen ground targets allows to receive highly satisfactory results in the atmospheric correction process of the EO data.
Research Interests: Geography, Environmental Science, Computer Science, Education, Image Processing, and 15 moreSocial Sciences, Remote Sensing, Science Education, Data Mining, Research Methodology, Qualitative methodology, Data Analysis, Image Analysis, Quantitative Methods, Geo-spatial analysis with GIS and GPS, Remote sensing and GIS, Image Classification, Data Security, Data Structures, and Geographic Information Systems (GIS)
The paper introduces a student report on using ENVI GIS software for image processing and spatial analysis. Research goal: applying and testing two algorithms of the image classification: Isodata and K-means, for unsupervised... more
The paper introduces a student report on using ENVI GIS software for image processing and spatial analysis. Research goal: applying and testing two algorithms of the image classification: Isodata and K-means, for unsupervised classification by means of ENVI GIS for airborne CASI image processing. This paper focuses on the technical aspects of using imaging spectrometry for monitoring coastal and hydrological environment of the Test River (southern England, UK). In this case study it is impossible using usual satellite images due to the shallow and clear waters. The hydrological characteristics of the river (its clearness and shallowness) make it di fficult to use visible region bands for a good results, due to wavelength-dependence of absorption clear water absorbs more wavelengths in the red spectrum than the blue region. Shallowness of the river bed makes the absorption by the water in the visible region not sufficient to measure changes of value with water depth. Finally, the narrowness of the river causes some diffi culties as well: in the period of the algae blooming river can be blocked up by the weeds. The images were modeled by Band Math tool of ENVI, to highlight relationship of water depth and natural logarithm of reflectance. The point collection was loaded from the ground data measurements. The coefficient k544/k703 was computed using MS Excel. For k544/k703 calculation we received firstly variance (spread) and then the covariance (joint relationship) between the two spectral bands - 544dn and 703dn. After calculations we received the final value of the coefficient k544/k703 equal to 0.644705. We tried both Isodata and K-means algorithms of unsupervised classification with the following results: while using the Isodata we found out that the result of classes is better at splitting the area into four and five classes: the areas are become more refined and look visually better. While splitting into three classes the K-means algorithm is also suitable enough, and it makes the classes more uniform and homogeneous within the single class. Overlay of the original image in grey scale was done by the new-created classified image of river Task to show representatively picture of surroundings and classified image. We tried classification using four and five classes as well, which, however, make the image more detailed and therefore, less representative and visual, so that three classes are optimal in this case. Final cartographic grid and map layout were added for new thematic map from the image showing different regions within water area. Using this map we can clearly distinguish different-coloured regions with in-stream habitats in water of the Test River. Airborne imaging spectrometry has a very good effect in investigating the river channel habitats in the shallow and clear waters where usual satellite imagery are ineffective. Airborne spectrometry has great potential as an excellent tool for estimating water depth and environment in shallow rivers.
Research Interests: Geography, Physical Geography, Earth Sciences, Environmental Science, Computer Science, and 15 moreEducation, Educational Technology, Image Processing, Remote Sensing, Science Education, Data Mining, Mathematics Education, Data Analysis, Remote Sensing (Earth Sciences), Remote sensing and GIS applications in Landscape Research, Geo-spatial analysis with GIS and GPS, Remote sensing and GIS, Data Security, Data Structures, and Geographic Information Systems (GIS)
Current assignment is a report on sediment particle size analysis: report on grain size experiment. Methodology includes software Mastersizer and R programming for statistical analysis. Mastersizer is a laser diffraction particle size... more
Current assignment is a report on sediment particle size analysis: report on grain size experiment. Methodology includes software Mastersizer and R programming for statistical analysis. Mastersizer is a laser diffraction particle size analyzer from Malvern Instruments company. Mastersizer enables to perform the analytical workload associated with developing robust particle sizing methods for industrial applications. Different size sediment grains form different types of rocks and can reveal information about the landform and environment of an area from millions of years prior. Sediments are classified by their method of erosion as either clastic or chemical. Clastic sediments are broken down through mechanical means, like abrasion from wind, water or ice. They are what most people think of when mentioning sediment; things like sand, silt, and clay. Several physical properties are used to describe sediment, like shape (sphericity), roundness and grain size. Of these properties, grain size is the most important. It can help to interpret the geomorphic setting (both present and historical) of a site, as well as whether the sediment was transported there from regional or local settings. Grain size determines how far a piece of sediment can travel before coming to a halt. Clastic sediments form a wide range of rocks, from mudstone to conglomerate, and soil depending on their grain size. The division of Wentworth’s grain size is consistent with the natural characteristics of sediments and the recognized grain composition boundary in terms of sedimentary properties and grain composition. This is the first reason why we recommend this standard. The transformation of Wentworth’s grain size into the Φ value classification method facilitates the graphical representation, statistical analysis and geological interpretation. The second part of the research included statistical analysis, visualizing and plotting results by means of R programming language. After the grain-size analysis by Mastersizer, a given sediment has been determined by statistical analysis. It can be characterized using standard statistical measures in either of two ways: (1) visual inspection of various types of graphs that plot overall percent abundance versus grain-size diameter (diagrams, size frequency and cumulative size frequency curves, and probability curves that compare the actual grain-size distribution to a normal straight-line Gaussian distribution). The results revealed that the most of the measured size particles belong to the classes ‘colloid’, ‘clay’ and ‘silt’, since the range of the values do not overpass 100 values, according to the Wentworth scale.
Research Interests: Ocean Engineering, Geography, Environmental Science, Geology, Oceanography, and 15 moreComputer Science, Education, Science Education, Data Mining, Marine Geology, Environmental Studies, Data Analysis, Computational Modelling, Design of Experiments, Modeling and Simulation, Mathematical Modelling, Physical Oceanography, Environmental Sustainability, Databases, and Geographic Information Systems (GIS)
This document describes the reviewed paper as a student assignment on Course ’Environmental Informatcs’ (EinfoP83E), Charles University of Prague, Czech Republic. Reference to a se- lected paper: Blaha, J. et al. (2013) Can Natura 2000... more
This document describes the reviewed paper as a student assignment on Course ’Environmental Informatcs’ (EinfoP83E), Charles University of Prague, Czech Republic. Reference to a se- lected paper: Blaha, J. et al. (2013) Can Natura 2000 mapping be used to zone the Šumava National Park? European Journal of Environmental Sciences, Vol. 3, No. 1, pp. 57–64. The authors proposed new variant of division of using existing data made by the Nature Conservation Agency of the Czech Republic. This is a student assignment at CU, Prague.
Research Interests: Landscape Ecology, Geography, Human Geography, Environmental Science, Computer Science, and 15 moreEducation, Social Policy, Environmental Education, Social Sciences, Science Education, Research Methodology, Environmental Studies, Data Analysis, Political Science, Ecology, Environmental Sustainability, Remote sensing and GIS applications in Landscape Research, Earth and Environmental Sciences, Literature Review, and Geographic Information Systems (GIS)
Current report is a student assignment on the course "Continental Margin Tectonics and Marine Geodynamics" at OUC. The report is intended to highlight the problem of the ocean trench formation of ocean seaaoor geomorphological structure... more
Current report is a student assignment on the course "Continental Margin Tectonics and Marine Geodynamics" at OUC. The report is intended to highlight the problem of the ocean trench formation of ocean seaaoor geomorphological structure in the zones of the continental margin tectonic plates bending. A case study of this essay is morphology of the abyssal ocean trenches and how we can measure and analyze the structure of the ocean noor in the least reachable locations of the world ocean. The report consists of fve chapters. The introduction chapter is aimed at understanding the structure of the main geomorphological elements of the continental margin tectonics, as well as the basics of the marine geology are summarized. The second chapter is focused on the studies of the trench morphology, classiication and problems of their arising in the tectonic plates. The seabed of the world ocean mid-ocean ridges, transform faults and their relationship with rii valleys, volcanic structures, deep-water basins, are reviewed in this chapter. The third chapter is focused on the methods of studying and surveying ocean seaaoor. It also concerns the basic information on the history of the ocean studies, research methods and instruments. The special part describes the ocean noor sampling: dredging and drilling as examples of the geological analysis methods, structure of passive and active outskirts. Moreover, an attention is paid to the application of the echo sounder devices: their history, types of sounders, as well as adjacent areas of mainland and islands. The basic concepts of the modern geology and geodynamics (tectonic plates subduction, spreading, transform fault, etc.) formed as a result of the study of the margin tectonics of the ocean noor are discussed and reviewed.
Research Interests: Geography, Geology, Oceanography, Computer Science, Communication, and 15 moreEducation, Social Sciences, Data Mining, Water, Environmental Studies, Data Analysis, Political Science, Sustainable Development, Water resources, Sustainable Water Resources Management, Environmental Sustainability, Databases, Literature Review, Monitoring, and Sustainability
Current paper describes methods of the seafloor survey in South China Sea region: geological and geophysical surveys, multi-beam echo-sounder, precise surveying, Unmanned Underwater Vehicles(UUV). Other methods include systematic... more
Current paper describes methods of the seafloor survey in South China Sea region: geological and geophysical surveys, multi-beam echo-sounder, precise surveying, Unmanned Underwater Vehicles(UUV). Other methods include systematic measurement of the surface height (altimetry) of the world ocean water level by the satellite radar. Moreover, current trends in the research plan of marine geology of China are discussed. These include following tasks in the development of the marine geology program around the South China Sea: To perform applied research to promote the efficient use of coastal and ocean resources; To undertake comprehensive surveys and studies of South China Sea and open oceans; To conduct scientific research in polar and tropical regions, etc. Systematic ocean exploration in the 20th century started on the ships, naval or merchant navies. Survey technical means and equipment at South China Sea Institute of Oceanology include modern apparatuses and drilling equipment. The applied methods are high-resolution airborne geophysical surveying, land magnetic and resistivity surveying, the natural electrical field method, induced polarization and transient electromagnetic techniques, as well as gravity surveying. Methods, trends and development of the programs in South China region are discussed.
Research Interests: Geography, Earth Sciences, Environmental Science, Geology, Computer Science, and 15 moreDevelopment Economics, Communication, Education, Development Studies, Environmental Education, Social Sciences, Environmental Studies, Data Analysis, Monitoring And Evaluation, Political Science, Sustainable Development, Environmental Management, Environmental Sustainability, Earth and Environmental Sciences, and Sustainability
Current report is focused on the analysis of South Korea Ocean geological survey and current state of the research development. Surrounded by seas to the west, south, and east, the Republic of Korea is a maritime nation. Therefore,... more
Current report is focused on the analysis of South Korea Ocean geological survey and current state of the research development. Surrounded by seas to the west, south, and east, the Republic of Korea is a maritime nation. Therefore, development of the marine geology program on the governmental level is highly actual for this state. However, proper development of the marine geology program on the governmental level has started not long time ago. Small territory, dense population, scarce natural resources of the Republic of Korea and at the same time a long coastline (the length of the maritime borders is 11.540 km) determine the importance of the marine spaces and resources for this country. The recognition of the importance of the regular marine geology survey and research started in the 1990s when a series of maritime accidents occurred and a government reclamation project was confirmed to be an environmental disaster. n 1996, the Ministry of Maritime Affairs and Fisheries (MOMAF) has been successfully established as one single ocean-related governmental agency. Since then, MOMAF has established an integrated oceans policy, run and financed various programs and policies, as well as struggled hard to strengthen ocean governance in Korea. The most famous Government runned ocean research center of the Republic of Korea is Korea Institute of Ocean Science and Technology (KIOST). The most important trend in the recent development of the Korean marine geology policy is advanced made in research on ocean resources and related applications and commercialization of such resources for the development of marine science and technology and the marine industry. This included following activities: 1) supported research on ocean resources and related applications and commercialization of such resources for the development of marine science and technology and the marine industry; 2) supported research on ocean and polar science and technology policies and institutions; 3) fostering of outstanding professionals in the marine sector and public services; 4) development, inspection, and repair of marine-related equipment, machinery and technology; 5) establishment and operation of marine infrastructure, such as marine science research stations; Funded research, and technology partnerships with domestic and overseas universities focused on marine geology, other research institutions, and companies. The ocean governance, currently run by Korean government, includes four essential elements, such as ocean policy, institutional arrangement to set up and implement ocean policy, coordination and cooperation between or among sectors, and the constituency for the policy. The paper reviewed activities and highlighted recent progress in the marine geological research in South Korea.
Research Interests: Geography, Environmental Science, Geology, Oceanography, Computer Science, and 15 moreEducation, Educational Technology, Southeast Asian Studies, Environmental Education, Social Sciences, Data Mining, Environmental Studies, South Korea, Data Analysis, Political Science, Sustainable Development, Southeast Asia, Sustainable Water Resources Management, Environmental Sustainability, and Sustainability
Satellite Image interpretation using Erdas Imagine and Corel Draw.
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Цель курсовой работы «Эколого – географическое картографическое загрязнение региона Балтийского моря – Финского залива» - показать экологическое состояние прибрежных территорий за последние годы Bпо данным за 1995 и 1997 г.г.) и степень... more
Цель курсовой работы «Эколого – географическое картографическое загрязнение региона Балтийского моря – Финского залива» - показать экологическое
состояние прибрежных территорий за последние годы Bпо данным за 1995 и 1997 г.г.) и степень воздействия на акваторию промышленных предприятий. На данном этапе работы были составлены карты: «Суммарное количество выбросов фосфора с городскими промышленными и сточными водами» - по данным за 1997 г., «Суммарное количество выбросов азота с городскими промышленными и сточными водами» - по данным за 1997 г, «Количество сточных вод, сбрасываемых промышленными предприятиями и заводами ежегодно» - по статистике 1995 г.
состояние прибрежных территорий за последние годы Bпо данным за 1995 и 1997 г.г.) и степень воздействия на акваторию промышленных предприятий. На данном этапе работы были составлены карты: «Суммарное количество выбросов фосфора с городскими промышленными и сточными водами» - по данным за 1997 г., «Суммарное количество выбросов азота с городскими промышленными и сточными водами» - по данным за 1997 г, «Количество сточных вод, сбрасываемых промышленными предприятиями и заводами ежегодно» - по статистике 1995 г.
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Целью данной работы был анализ ландшафтной карты из Атласа Северо-Кустанайсой области, выполненной автором Николаевым В.А. под редакцией Ворониной А.Ф. в масштабе 1: 1 500 000. Данная карта является результатом изучения приролно-... more
Целью данной работы был анализ ландшафтной карты из Атласа
Северо-Кустанайсой области, выполненной автором Николаевым В.А. под
редакцией Ворониной А.Ф. в масштабе 1: 1 500 000.
Данная карта является результатом изучения приролно-
территориальных комплексов – ландшафтов – разных категорий и любого
таксономического уровня. Карта содержит подробную физико-
географическую характеристику ландшафтов, отражая сочетание на данной
территории, классов, групп, типов, родов и видов в соответствии с их
иерархическим положением в ландшафтной классификации автора -
Николаева В.А. В основу классификации ландшафтов В.А. Николаевым
положен структурно-генетический принцип, где осуществлена
одновременно как интеграция, так и дифференциация индивидуальных
ландшафтов по типологическим группам. Данная классификация сложная,
отличается многоступенчатостью таксономических поджразделений и,
соответственно, большим числом классификационных признаков.
Северо-Кустанайсой области, выполненной автором Николаевым В.А. под
редакцией Ворониной А.Ф. в масштабе 1: 1 500 000.
Данная карта является результатом изучения приролно-
территориальных комплексов – ландшафтов – разных категорий и любого
таксономического уровня. Карта содержит подробную физико-
географическую характеристику ландшафтов, отражая сочетание на данной
территории, классов, групп, типов, родов и видов в соответствии с их
иерархическим положением в ландшафтной классификации автора -
Николаева В.А. В основу классификации ландшафтов В.А. Николаевым
положен структурно-генетический принцип, где осуществлена
одновременно как интеграция, так и дифференциация индивидуальных
ландшафтов по типологическим группам. Данная классификация сложная,
отличается многоступенчатостью таксономических поджразделений и,
соответственно, большим числом классификационных признаков.
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The paper describes major issues of the geoecological mapping which has a multidimensional aspect and includes a large number of both natural and anthropogenic factors in its field of research. Multi-source data and factors should be... more
The paper describes major issues of the geoecological mapping which has a multidimensional aspect and includes a large number of both natural and anthropogenic factors in its field of research. Multi-source data and factors should be taken into account when creating complex maps of the vulnerability assessing applied for the regional environmental situation of Arctic Seas. The main difficulties of geoecological mapping are intensified concern distinguish between the terrestrical and marine ecosystems. The latter are complex in their structure multicomponent systems. Therefore, analysis of the ecological situation of water areas requires complex assessment of all its components, the “contributions” to their overall state and 'weights' of major sources of contamination.
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Essay on the Course 'Philosophy'. Part of the PhD Studies at Lomonosov Moscow State University
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Part of the PhD Studies at Lomonosov Moscow State University
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Adaptive management is a union of science and management, because theoretical ideas about how better to manage natural resources are tested and proved experimentally, in according to the given real conditions of the ecosystem until we... more
Adaptive management is a union of science and management, because theoretical ideas about how better to manage natural resources are tested and proved experimentally, in according to the given real conditions of the ecosystem until we reach optimal decision with minimized impact upon the ecosystems. Actually, the role of the adaptive management in Environmental Decision Making become more and more important, as it deals with such a challenging problem as harmonious co-existence of the human and the earth: how best to manage natural resources, how to apply taken decisions upon ecosystems with minimal negative effect, how to maintain conservation of ecosystems with technological progress, thus providing effective dialogue ―man-nature‖. Adaptive management offers important insights into the sustainable governance of natural resources, because the awareness of the importance of good-quality environment requires decision-making management process adaptive to the environmental situation in exact condition and places on the Earth. Therefore, we conclude that adaptive management will play in the nearest future a key and a paramount role in the environmental decision-making for the sustainable development of our world.
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The paper provides a literatures review on the works on social vulnerability towards flood hazards. The problem of floods and hazards caused by them is mostly concerned so-called Third World countries due, firstly, to south climate... more
The paper provides a literatures review on the works on social vulnerability towards flood hazards. The problem of floods and hazards caused by them is mostly concerned so-called Third World countries due, firstly, to south climate specifics and, secondly, to the financial impossibility of their government to cope with danger. Ability to take under control and sometimes to correct the forces of nature can reduce strongly vulnerability of people to flood hazards. At the same time, controlling these huge nature mechanisms requires good economic investments. There are different mechanisms of how people can reduce their influence, mostly by controlling them: regular scientific observation in form of hydrographs, construction works, such as channelization and dams.
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Essay on the course "Making Socio-Economic Maps". BSc Study at Lomonosov Moscow State Univeristy
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Student Practical Report Nr.12 for the Course 'Environment Maps'. Bachelor's (BSc) studies at Lomonosov Moscow State University
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Student Practical Report Nr.6 for the Course 'Environment Maps'. Bachelor's (BSc) studies at Lomonosov Moscow State University
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Student Practical Report for the Course 'Mathematical and Cartographic Modelling'. Bachelor's (BSc) studies at Lomonosov Moscow State University
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Comparative analysis of various modelling methods: Kriging, Invers distances to a power, Sheppard, Nearest neighbour, Triangulation, Polynomial regression, Minimum curvature, Radial basis function. Student Practical Report for the Course... more
Comparative analysis of various modelling methods: Kriging, Invers distances to a power, Sheppard, Nearest neighbour, Triangulation, Polynomial regression, Minimum curvature, Radial basis function. Student Practical Report for the Course 'Geoinformtics'. Bachelor's (BSc) studies at Lomonosov Moscow State University
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Student Practical Report for the Course 'Environment Maps'. Bachelor's (BSc) studies at Lomonosov Moscow State University
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Practical work Nr. 3 for the Course 'Making general geographic maps'. Bachelor's (BSc) studies at Lomonosov Moscow State University
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Essay on the course 'Digital Cartography', BSc. Lomonosov Moscow State University.
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Essay on the Course 'Digital Cartography'. Bachelor's (BSc) studies at Lomonosov Moscow State University
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To optimize the workflow of civil engineering construction in a harbour, this paper developed a framework of the contaminant leaching assessment carried out on the stabilized/solidified dredged soil material. The specimens included the... more
To optimize the workflow of civil engineering construction in a harbour, this paper developed a framework of the contaminant leaching assessment carried out on the stabilized/solidified dredged soil material. The specimens included the sampled sediments collected from the in situ fieldwork in Arendal and Kongshavn. The background levels of the concentration of pollutants were evaluated to assess the cumulative surface leaching of substances from samples over two months. The contamination of soil was assessed using a structured workflow scheme on the following toxic substances, heavy metals—As, Pb, Cd, Cr, Hg, Ni, and Zn; organic compounds—PAH-16 and PCB; and organotin compounds—TBT. The numerical computation and data analysis were applied to the results of geochemical testing creating computerised solutions to soil quality evaluation in civil engineering. Data modelling enabled the estimation of leaching of the contaminants in one year. The estimated leaching of As is 0.9153 mg/m2, ...
Research Interests: Engineering, Materials Engineering, Civil Engineering, Control Systems Engineering, Earth Sciences, and 15 moreGeology, Computer Science, Algorithms, Materials Science, Construction Materials, Data Analysis, Optimization techniques, Applied Geology, Materials Science and Engineering, Control Systems, Building Construction, Mathematical Sciences, Cement, HIGHWAY ROADS AND BRIDGES, and Cement and Concrete Materials
Evaluating the subground properties during the initial stage of a construction of building is important in order to estimate the suitability of soil quality to the technical requirements of bearing capacity, resistance to stress, and... more
Evaluating the subground properties during the initial stage of a construction of building is important in order to estimate the suitability of soil quality to the technical requirements of bearing capacity, resistance to stress, and strength. This study presented the evaluation of the geotechnical properties of soil intended for the construction of Max IV facility of Lund University, performed in fieldwork and laboratory. The in situ methods included drilling boreholes, core sampling and assessment, crosshole measurements, and borehole logging. The laboratory-based measurements were performed at Swedish Geotechnical Institute and combined seismic measurements of drill cores, determination of the uniaxial compressive strength (UCS), and examination of material property: sieve analysis and natural moisture content. UCS was evaluated with regard to velocities of elastic P-waves. The synchronous light test by X-ray diffraction was performed for qualitative analysis of mineral compositi...
Research Interests: Engineering, Civil Engineering, Earth Sciences, Geophysics, Soil Science, and 15 moreComputer Science, Construction Materials, Geotechnical Engineering, Data Analysis, Clay Minerals, Drilling Engineering, Seismic Engineering, Soil Stabilization, Cement, Building and Construction Materials, Seismic analysis and design, Strength of materials, X ray diffraction, Cement Industry, and Cement and Concrete Materials
Research Interests: Geography, Cartography, African Studies, Earth Sciences, Computer Science, and 15 moreProgramming Languages, Education, Climate Change, Data Mining, Data Analysis, Sustainable Development, Africa, West Africa, Natural Resource Management, Ghana, Environmental Sustainability, Data Visualization, Mineral Resources, Scripting Language, and Topografia
Desertification is one of the most destructive climate-related issues in the Sudan–Sahel region of Africa. As the assessment of desertification is possible by satellite image analysis using vegetation indices (VIs), this study reports on... more
Desertification is one of the most destructive climate-related issues in the Sudan–Sahel region of Africa. As the assessment of desertification is possible by satellite image analysis using vegetation indices (VIs), this study reports on the technical advantages and capabilities of scripting the ‘raster’ and ‘terra’ R-language packages for computing the VIs. The test area which was considered includes the region of the confluence between the Blue and White Niles in Khartoum, southern Sudan, northeast Africa and the Landsat 8–9 OLI/TIRS images taken for the years 2013, 2018 and 2022, which were chosen as test datasets. The VIs used here are robust indicators of plant greenness, and combined with vegetation coverage, are essential parameters for environmental analytics. Five VIs were calculated to compare both the status and dynamics of vegetation through the differences between the images collected within the nine-year span. Using scripts for computing and visualising the VIs over Su...
Research Interests: Geography, Cartography, African Studies, Environmental Science, Programming Languages, and 15 moreImage Processing, Remote Sensing, Environmental Studies, Sustainable Development, Africa, Imaging, Image Analysis, Desertification, Environmental Sustainability, Remote sensing and GIS, R programming language, Digital Image Processing, Programming, Mapping, and Vegetation
This paper addresses the issue of the satellite image processing using GRASS GIS in the mangrove forests of the Niger River Delta, southern Nigeria. The estuary of the Niger River Delta in the Gulf of Guinea is an essential hotspot of... more
This paper addresses the issue of the satellite image processing using GRASS GIS in the mangrove forests of the Niger River Delta, southern Nigeria. The estuary of the Niger River Delta in the Gulf of Guinea is an essential hotspot of biodiversity on the western coast of Africa. At the same time, climate issues and anthropogenic factors affect vulnerable coastal ecosystems and result in the rapid decline of mangrove habitats. This motivates monitoring of the vegetation patterns using advanced cartographic methods and data analysis. As a response to this need, this study aimed to calculate and map several vegetation indices (VI) using scripts as advanced programming methods integrated in geospatial studies. The data include four Landsat 8-9 OLI/TIRS images covering the western segment of the Niger River Delta in the Bight of Benin for 2013, 2015, 2021, and 2022. The techniques included the ’i.vi’, ’i.landsat.toar’ and other modules of the GRASS GIS. Based on the GRASS GIS ’i.vi’ modu...
Research Interests: Cartography, African Studies, Earth Sciences, Environmental Science, Programming Languages, and 15 moreEducation, Image Processing, Africa, Mangroves, Image Analysis, Mangrove Ecology, Environmental Sustainability, Nigeria, Mangrove, Digital Image Processing, Mapping, Remote Sensing and Mangrove, GRASS GIS, Estuary, and Normalized Difference Vegetation Index
With methods for processing remote sensing data becoming widely available, the ability to quantify changes in spatial data and to evaluate the distribution of diverse landforms across target areas in datasets becomes increasingly... more
With methods for processing remote sensing data becoming widely available, the ability to quantify changes in spatial data and to evaluate the distribution of diverse landforms across target areas in datasets becomes increasingly important. One way to approach this problem is through satellite image processing. In this paper, we primarily focus on the methods of the unsupervised classification of the Landsat OLI/TIRS images covering the region of the Qena governorate in Upper Egypt. The Qena Bend of the Nile River presents a remarkable morphological feature in Upper Egypt, including a dense drainage network of wadi aquifer systems and plateaus largely dissected by numerous valleys of dry rivers. To identify the fluvial structure and stream network of the Wadi Qena region, this study addresses the problem of interpreting the relevant space-borne data using R, with an aim to visualize the land surface structures corresponding to various land cover types. To this effect, high-resolutio...
Research Interests: Cartography, African Studies, Earth Sciences, Education, Image Processing, and 15 moreRemote Sensing, Data Analysis, Africa, Image Analysis, Egypt, Desertification, Environmental Sustainability, Digital Image Processing, Data Visualization, Information, Mapping, Nile River Basin, Fluvial, Landform, and K means Clustering
This study aimed at evaluating the effect of blended binders on the stabilization of clayey soils intended for use as road and pavement materials in selected regions of Sweden. The stabilization potential of blended binders containing... more
This study aimed at evaluating the effect of blended binders on the stabilization of clayey soils intended for use as road and pavement materials in selected regions of Sweden. The stabilization potential of blended binders containing five stabilizers (cement, bio fly ash, energy fly ash, slag and lime) was investigated using laboratory tests and statistical analysis. Soil samples were compacted using Swedish Standards on UCS. The specimens were stabilized with blended mixtures containing various ratios of five binders. The effects of changed ratio of binders on soil strength was analyzed using velocities of seismic P-waves penetrating the tested soil samples on the day 14 of the experiment. The difference in the soil surface response indicated variations in strength in the evaluated specimens. We tested combination of blended binders to improve the stabilization of clayey soil. The mix of slag/lime or slag/cement accelerated soil hardening process and gave durable soil product. We ...
Research Interests: Engineering, Civil Engineering, Environmental Science, Construction Materials, Construction Technology, and 15 moreConstruction Management, Geotechnical Engineering, Applied Statistics, Data Analysis, Industrial Engineering, Data Visualization, Building Construction, Data Science, Cement, Geotechnics, Fly Ash, HIGHWAY ROADS AND BRIDGES, Cement and Concrete Materials, Lime, and California Bearing Ratio
Clay soils can cause significant distress in road construction due to their low strength. Stabilizing such soil improve with binder agents prior to the geotechnical works can significantly its performance and ensure safety and stability... more
Clay soils can cause significant distress in road construction due to their low strength. Stabilizing such soil improve with binder agents prior to the geotechnical works can significantly its performance and ensure safety and stability of roads while exploitation. This research envisaged the use of five different binders (lime, energy fly ash, bio fly ash, slag, cement) as an additive stabilizing agents to improve the strength parameters of soil as required in engineering industry standards. The variations of strength was assessed using measurements of P-wave velocity of the elastic waves propagating through soil specimens stabilized by different combination of binders. Measurements were performed on 28th day of soil treatment. The best effects of added binders were noted in the following combinations: cement / energy fly ash / bio fly ash (P-waves >3100 m/s), followed by combination lime / energy fly ash / GGBFS (P-waves >2800 m/s) and cement / lime / energy fly ash (P-waves...
Research Interests: Engineering, Materials Engineering, Civil Engineering, Computer Science, Materials Science, and 15 moreRoad safety, Composite Materials and Structures, Construction Technology, Geotechnical Engineering, Construction, Soil Mechanics, Materials Science and Engineering, Road Pavement Engineering and Design, Building Construction, Cement, Fly Ash, HIGHWAY ROADS AND BRIDGES, Cement and Concrete Materials, Lime, and Soil Foundations
In this paper we propose a new technique of soil stabilization for road construction based on using new alternative binders. The project aims to evaluate the effects of alternative additive materials in soil stabilization contexts for... more
In this paper we propose a new technique of soil stabilization for road construction based on using new alternative binders. The project aims to evaluate the effects of alternative additive materials in soil stabilization contexts for road construction. The alternative binders (slag, energy ash and bio ash as new alternative road construction material) have been used to complement the traditional binders (cement and lime). The project used five binders and evaluated their effects on soil strength. The proposed method comprises advantages of using the alternative binders which are the residual products contributing to a lower environmental impact. The results have shown that only slag has significant effects on the strength of the stabilized soil, while bio ash and energy ash make a marginal contribution to the increase of strength. This is caused by the twofold reasons. First, the effects of the amount of ashes that should reach a certain threshold with respect to the total amount o...
Research Interests: Engineering, Materials Engineering, Civil Engineering, Earth Sciences, Environmental Science, and 15 moreGeochemistry, Computer Science, Construction Management, Geotechnical Engineering, Data Analysis, Building Construction, Cement, Geological Engineering, Fly Ash, Building and Construction Materials, HIGHWAY ROADS AND BRIDGES, Cement and Concrete Materials, Carbonation, Lime, and Ground Granulated Blast Furnace Slag
In this paper, we describe two related scripting methods of cartographic data processing and visualization that provide 2D and 3D mapping of Japan with different algorithm complexity. The first algorithm utilizes Generic Mapping Toolset... more
In this paper, we describe two related scripting methods of cartographic data processing and visualization that provide 2D and 3D mapping of Japan with different algorithm complexity. The first algorithm utilizes Generic Mapping Toolset (GMT), which is known as an advanced console-based program for spatial data processing. The modules of GMT combine the functionality of scripting with the aspects of geoinformatics, which is especially effective for the rapid analysis of large geospatial datasets, multi-format data processing, and mapping in 2D and 3D modes. The second algorithm presents the use of the R programming language for cartographic visualization and spatial analysis. This R method utilizes the packages ‘tmap’, ‘raster’, ‘maps’, and ‘mapdata’ to model the morphometric elements of the Japanese archipelago, such as slope, aspect, hillshade and elevation. The general purpose graphical package ‘ggplot2’ of R was used for mapping the prefectures of Japan. The two scripting approa...
Research Interests: Geography, Cartography, Japanese Studies, Earth Sciences, Computer Science, and 15 moreProgramming Languages, Education, Image Processing, Remote Sensing, Data Analysis, Geoinformatics, Modeling and Simulation, Japan, Environmental Sustainability, Data Visualization, Data Science, Mapping, Land, Data Structures, and Geospatial Analysis
The strength of soil can significantly increase by stabilisation with binders. Adding binders in correct proportions to improve soil parameters is of paramount importance for earthworks. In this article, we presented a framework to... more
The strength of soil can significantly increase by stabilisation with binders. Adding binders in correct proportions to improve soil parameters is of paramount importance for earthworks. In this article, we presented a framework to explore strength characteristics of soil stabilised by several binders and evaluated using applied geophysical methods by estimated P-wave velocities. The core of our work is a systematic assessment of the effects on clay stabilisation from various binders on shear and compressive strength. The binders were combined from four stabilising agents: (i) CEM II/A, a Portland limestone cement; (ii) burnt lime; (iii) lime kiln dust (LKD) limited up to 50%; and (iv) cement kiln dust (CKD). Shear strength has shown a nonlinear dependence as an exponential curve with P-waves. Natural frequency analysis was modelled to simulate resonant frequencies as eigen values. Variations in strength proved that CEM II/A-M (Recipe A, 100% CEM II) has the best performance for wea...
Research Interests: Engineering, Mechanical Engineering, Civil Engineering, Earth Sciences, Soil Science, and 15 moreComputer Science, Algorithms, Materials Science, Data Analysis, Soil Mechanics, Composite Materials, Environmental Sustainability, Materials Science and Engineering, Data Science, Compressive Strength, Cement, Building and Construction Materials, Recipe, Cement and Concrete Materials, and Lime
This paper presents a cartographic framework based on algorithms of GMT codes for mapping seismically active areas in Venezuela. The data included raster grids from GEBCO, EGM-2008, and vector geological layers from the USGS. The data... more
This paper presents a cartographic framework based on algorithms of GMT codes for mapping seismically active areas in Venezuela. The data included raster grids from GEBCO, EGM-2008, and vector geological layers from the USGS. The data were iteratively processed in the console of GMT, converted by GDAL, formatted, and mapped for geophysical data visualisation; the QGIS was applied for geological mapping. We analyzed 2000 samples of the earthquake events obtained from the IRIS seismic database with a 25-year time span (1997–2021) in order to map the seismicity. The approach to linking geological, topographic, and geophysical data using GMT scripts aimed to map correlations among the geophysical phenomena, tectonic processes, geological setting, seismicity, and earthquakes. The practical application of the GMT scripts consists in automated mapping for the visualization of geological risks and hazards in the mountainous region of the Venezuelan Andes. The proposed method integrates the ...
Research Interests: Geography, Cartography, Latin American Studies, Geodesy, Geology, and 15 moreGeophysics, Programming Languages, Seismic Hazard, Data Analysis, Geoinformatics, Seismology, Environmental Sustainability, Andes, Mapping, Gravity, Earthquake Seismology, Induced Seismicity, South America, Geologic map, and Scripting Language
In this paper, an image analysis framework is formulated for Landsat-8 Operational Land Imager and Thermal Infrared Sensor (OLI/TIRS) scenes using the R programming language. The libraries of R are shown to be effective in remote sensing... more
In this paper, an image analysis framework is formulated for Landsat-8 Operational Land Imager and Thermal Infrared Sensor (OLI/TIRS) scenes using the R programming language. The libraries of R are shown to be effective in remote sensing data processing tasks, such as classification using k-means clustering and computing the Normalized Difference Vegetation Index (NDVI). The data are processed using an integration of the RStoolbox, terra, raster, rgdal and auxiliary packages of R. The proposed approach to image processing using R is designed to exploit the parameters of image bands as cues to detect land cover types and vegetation parameters corresponding to the spectral reflectance of the objects represented on the Earth’s surface. Our method is effective at processing the time series of the images taken at various periods to monitor the landscape dynamics in the middle part of the Congo River basin, Democratic Republic of the Congo (DRC). Whereas previous approaches primarily used...
Research Interests: Landscape Ecology, Cartography, African Studies, Environmental Science, Computer Science, and 15 moreProgramming Languages, Computer Vision, Education, Image Processing, Remote Sensing, Image Analysis, Modeling and Simulation, Environmental Sustainability, Remote sensing and GIS, Democratic Republic of Congo, Mapping, Cluster Analysis, Applied Sciences, Geospatial Analysis, and Normalized Difference Vegetation Index
In this paper, we propose an advanced scripting approach using Python and R for satellite image processing and modelling terrain in Côte d’Ivoire, West Africa. Data include Landsat 9 OLI/TIRS C2 L1 and the SRTM digital elevation model... more
In this paper, we propose an advanced scripting approach using Python and R for satellite image processing and modelling terrain in Côte d’Ivoire, West Africa. Data include Landsat 9 OLI/TIRS C2 L1 and the SRTM digital elevation model (DEM). The EarthPy library of Python and `raster’ and `terra’ packages of R are used as tools for data processing. The methodology includes computing vegetation indices to derive information on vegetation coverage and terrain modelling. Four vegetation indices were computed and visualised using R: the Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index 2 (EVI2), Soil-Adjusted Vegetation Index (SAVI) and Atmospherically Resistant Vegetation Index 2 (ARVI2). The SAVI index is demonstrated to be more suitable and better adjusted to the vegetation analysis, which is beneficial for agricultural monitoring in Côte d’Ivoire. The terrain analysis is performed using Python and includes slope, aspect, hillshade and relief modelling with chan...
Research Interests: Geography, Cartography, African Studies, Computer Science, Programming Languages, and 15 moreImage Processing, Data Analysis, Africa, Imaging, Image Analysis, Python, Environmental Sustainability, Digital Image Processing, Data Visualization, Programming, Mapping, Python Programming, Digital Elevation Model, Cote D Ivoire, and Normalized Difference Vegetation Index
Scatterplot Matrices of the Geomorphic Structure of the Mariana Trench at Four Tectonic Plates (Pacific, Philippine, Mariana and Caroline): a Geostatistical Analysis by R
Research Interests: Information Systems, Geography, Environmental Science, Geology, Computer Science, and 15 moreComputer Graphics, Artificial Intelligence, Education, Image Processing, Environmental Geology, Environmental Studies, Data Analysis, Conceptual Modelling, Environmental Sustainability, Computer Software, Data Structures, Algorithmic, Bathymetry, Computer Human Interaction, and Data Format
Marine sediments can be stabilized by ultra high-strength binders: cement, Cement Kiln Dust (CKD) and slag. The properties of the stabilized soil indicate potential to their reuse. This study investigated the performance of the unconfined... more
Marine sediments can be stabilized by ultra high-strength binders: cement, Cement Kiln Dust (CKD) and slag. The properties of the stabilized soil indicate potential to their reuse. This study investigated the performance of the unconfined compressive strength (UCS) in the marine sediments stabilized by binder (cement, CKD, slag), tested by ultrasonic P-waves. Materials include 194 specimens collected from the port of Gothenborg. The experiment was performed in Swedish Geotechnical Institute (SGI). The UCS of specimens stabilized by different ratio of binders (cement, CKD, slag) was tested by resonance frequencies of the elastic P-waves. The significant increase in the UCS (>1500 kPa) was recorded for the highest values of CKD and cement, and low values of slag. The correlation profiles of low water/high binder (LW/HB) cement/slag (40/60%) were controlled by curing time. The slag–cement–CKD simplex tests demonstrated UCS of samples with low/high water content and various binder ra...
Research Interests: Engineering, Mechanical Engineering, Civil Engineering, Safety Engineering, Geophysics, and 15 moreComputer Science, Materials Science, Construction Technology, Geotechnical Engineering, Modeling and Simulation, Engineering Geology and Geotechnical Problems, Coastal and Estuarine Sediment Transport, Compressive Strength, Cement, Geotechnics, Seismicity, Geotechnical Enginnering, HIGHWAY ROADS AND BRIDGES, Civil and Environmental Engineering, and Soil Foundations
The paper presents the cartographic processing of the Landsat TM image by the two unsupervised classification methods of SAGA GIS: ISODATA and K-means clustering. The approaches were tested and compared for land cover type mapping.... more
The paper presents the cartographic processing of the Landsat TM image by the two unsupervised classification methods of SAGA GIS: ISODATA and K-means clustering. The approaches were tested and compared for land cover type mapping. Vegetation areas were detected and separated from other land cover types in the study area of southwestern Iceland. The number of clusters was set to ten classes. The processing of the satellite image by SAGA GIS was achieved using Imagery Classification tools in the Geoprocessing menu of SAGA GIS. Unsupervised classification performed effectively in the unlabeled pixels for the land cover types using machine learning in GIS. Following an iterative approach of clustering, the pixels were grouped in each step of the algorithm and the clusters were reassigned as centroids. The paper contributes to the technical development of the application of machine learning in cartography by demonstrating the effectiveness of SAGA GIS in remote sensing data processing a...
Research Interests: Engineering, Cartography, Earth Sciences, Computer Science, Education, and 15 moreImage Processing, Remote Sensing, Data Analysis, Geoinformatics, Image Analysis, Ecology, Environmental Sustainability, Remote sensing and GIS applications in Landscape Research, Data Visualization, Geoprocessing, Land Cover, Cluster Analysis, Land Use Land Cover Change, Pixel, and Multispectral image
The paper focuses on the geostatistical analysis of the data set on the Philippine archipelago. The research question is understanding variability in several geospatial parameters (geology, geomorphology, tectonics and bathymetry) in... more
The paper focuses on the geostatistical analysis of the data set on the Philippine archipelago. The research question is understanding variability in several geospatial parameters (geology, geomorphology, tectonics and bathymetry) in different segments of the study area. The initial data set was generated in QGIS by digitizing 25 cross-sectioning profiles. The data set contained information on the geospatial parameters in the samples by profiles. Modelling and statistical analysis were performed in SPSS IBM Statistics software. The analysis of the topography shows strong variability of the elevations in the samples with the extreme depths in the central part of the study area (profile 13 with -9,400 m) and highest elevations in its south-western part (profile 17 with 1950 m). The analysis of the geological classes and lithology shows maximal samples of the basic volcanic rocks (40,40%) followed by mixed sedimentary consolidated rocks (31,90 %). Pairwise analysis of the sediment thic...
Research Interests: Engineering, Geography, Geology, Oceanography, Marine Geology, and 15 moreApplied Statistics, Data Analysis, Philippines, Geostatistics, Physical Oceanography, Computational Mathematics, Descriptive Statistics, Lithology, Archipelago, Geospatial Analysis, Pacific ocean, Bathymetry, Deep Sea, Deep Sea Bed Minerals, and Boxplot
Mariana trench is the deepest place on the Earth. It crosses four tectonic plates of the Pacific Ocean: Mariana, Caroline, Pacific and Philippine. The formation of the trench is caused by the complex interconnection of various... more
Mariana trench is the deepest place on the Earth. It crosses four tectonic plates of the Pacific Ocean: Mariana, Caroline, Pacific and Philippine. The formation of the trench is caused by the complex interconnection of various environmental factors. The aim of this study was to describe and characterize various impact factors affecting formation of the Mariana trench geomorphology and continental margin environments using R programming language and mathematical algorithms of correlation methods written on R code. To record the system of geological, tectonic, geographic, oceanological and bathymetric features affecting Mariana trench , a combination of statistical methods, GIS and R programming codes were applied. The questions answered are as follows: which factors are the most influencing for the Mariana trench morphology, and to what extend do they affect its development? Is sedimental thickness of the ocean trench basement more important factors for the trench formation comparing...
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The seabed in the ports needs to be regularly cleaned from the marine sediments for safe navigation. Sediments contaminated by tributyltin (TBT) are environmentally harmful and require treatment before recycling. Treatment methods include... more
The seabed in the ports needs to be regularly cleaned from the marine sediments for safe navigation. Sediments contaminated by tributyltin (TBT) are environmentally harmful and require treatment before recycling. Treatment methods include leaching, stabilisation and solidification to remove toxic chemicals from the sediments and improve their strength for reuse in the construction works. This study evaluated the effects of adding three different binder components (cement, cement kiln dust (CKD) and slag) to treat sediment samples collected in the port of Gothenburg. The goal of this study is to assess the leaching of TBT from the dredged marine sediments contaminated by TBT. The various methods employed for the treatment of sediments include the application of varied ratios of binders. The project has been performed by the Swedish Geotechnical Institute (SGI) on behalf of the Cementa (HeidelbergCement Group) and Cowi Consulting Group, within the framework of the Arendal project. An ...
Research Interests: Civil Engineering, Environmental Science, Geology, Geochemistry, Computer Science, and 15 moreChemistry, Data Analysis, Baltic Sea Region Studies, Environmental Sustainability, Data Modeling, Data Science, Dredging, Earth and Environmental Science, Cement, Applied Sciences, Sediment, Contamination, Civil Engineerig, Cement and Concrete Research, and Cement Kiln
Summary The study presents a comparative analysis of eight Vegetation Indices (VIs) used to examine vegetation greenness over the northern coasts of Iceland. The geographical extent of the study area is set by the coordinates of the two... more
Summary The study presents a comparative analysis of eight Vegetation Indices (VIs) used to examine vegetation greenness over the northern coasts of Iceland. The geographical extent of the study area is set by the coordinates of the two fjords, Eyjafjörður and Skagafjörður, notable for their agricultural significance. Vegetation in Iceland is fragile due to the harsh climate, climate change, overgrazing and volcanic activity, which increase soil erosion. The study was conducted on a Landsat TM image using SAGA GIS as a technical tool for raster bands calculations. The NDVI dataset shows a range from -0.56 to 0.24, with 0 indicating ‘no vegetation’, and negative values – ‘other surfaces’ (e.g. rocks, open terrain). The DVI, compared to the NDVI, shows statistically non-normalized values ranging from -112 to 0, with extreme negative values while the coastal vegetation areas are badly distinguished from the water areas. The NRVI shows an extent from -0.24 to 0.48 with higher values for...
Research Interests: Botany, Geography, Physical Geography, Earth Sciences, Computer Science, and 15 moreEducation, Image Processing, Remote Sensing, Machine Learning, Sustainable Development, Environmental Sustainability, Remote sensing and GIS applications in Landscape Research, Sustainable Rural Development, Remote sensing and GIS, Iceland, Big Data, Overgrazing, Land Use Land Cover Change, Multispectral image, and Normalized Difference Vegetation Index
The paper presents the use of the Landsat TM image processed by the ArcGIS Spatial Analyst Tool for environmental mapping of southwestern Iceland, region of Reykjavik. Iceland is one of the most special Arctic regions with unique flora... more
The paper presents the use of the Landsat TM image processed by the ArcGIS Spatial Analyst Tool for environmental mapping of southwestern Iceland, region of Reykjavik. Iceland is one of the most special Arctic regions with unique flora and landscapes. Its environment is presented by vulnerable ecosystems of highlands where vegetation is affected by climate, human or geologic factors: overgrazing, volcanism, annual temperature change. Therefore, mapping land cover types in Iceland contribute to the nature conservation, sustainable development and environmental monitoring purposes. This paper starts by review of the current trends in remote sensing, the importance of Landsat TM imagery for environmental mapping in general and Iceland in particular, and the requirements of GIS specifically for satellite image analysis. This is followed by the extended methodological workflow supported by illustrative print screens and technical description of data processing in ArcGIS. The data used in...
Research Interests: Geography, Cartography, Geology, Computer Science, Education, and 15 moreImage Processing, Remote Sensing, Science Education, Machine Learning, Classification (Machine Learning), Data Analysis, Ecology, Modeling and Simulation, Environmental Sustainability, Remote sensing and GIS applications in Landscape Research, Sustainable Rural Development, Remote sensing and GIS, Data Visualization, Geographic Information Systems (GIS), and Land Use Land Cover Change
Landsat-TM of 2001 covering Iceland (15.5°W-21°W, 64.5°N-67°N) was processed using SAGA GIS for testing distance-based Vegetation Indices (VIs): four approaches of Perpendicular Vegetation Index (PVI) and two approaches of Transformed... more
Landsat-TM of 2001 covering Iceland (15.5°W-21°W, 64.5°N-67°N) was processed using SAGA GIS for testing distance-based Vegetation Indices (VIs): four approaches of Perpendicular Vegetation Index (PVI) and two approaches of Transformed Soil Adjusted Vegetation Index TSAVI. The PVI of vegetation from the soil background line indicated healthiness as a leaf area index (LAI). The results showed that the reflectance for vegetation has a linear relation with soil background line. Four PVI models and two TSAVI shown coefficients of determination with LAI. The dataset demonstrate variations in the calculated coefficients. The mode in the histograms of the PVI based on four different algorithms show the difference:-7.1,-8.36, 2.78 and 7.0. The dataset for the two approaches of TSAVI: first case ranges in 4.4.-80.6 with a bell-shape mode of a histogram (8.09 to 23.29) for the first algorithm and an irregular shape for the second algorithm with several modes starting from 0.11 to 0.2 and decre...
Research Interests: Geography, Cartography, Computer Science, Education, Remote Sensing, and 15 moreSpatial Modeling, Climate Change, Machine Learning, Data Mining, Data Analysis, Sustainable Development, Open Source Software, Vegetation Ecology, Physics Education, Environmental Sustainability, Remote sensing and GIS applications in Landscape Research, Open Source and Free Software Studies, Mapping, Vegetation Index, and Normalized Difference Vegetation Index
Current paper presents the results of the experimental analysis on permafrost uppermost soil samples with various physical properties (moisture, porosity) tested with varied external pressure and time. The aim of this work is to test... more
Current paper presents the results of the experimental analysis on permafrost uppermost soil samples with various physical properties (moisture, porosity) tested with varied external pressure and time. The aim of this work is to test properties of the soil samples intended for the construction of buildings, railways and objects of civil infrastructure by modeled external pressure, data visualization and analysis. Variations in the soil samples were studied by analysis of the equivalent soil cohesion (Ceq) in frozen soil samples. Methods include integrated application of the laboratory experiments, methods of the statistical data analysis and 3D plotting performed by the selected LaTeX packages. Laboratory experiments were performed using KrioLab equipment ‘Sharikovy Stamp PSH-1’. The 15 series of experiments have been tested. Models of the soil strength are graphically presented and statistically analyzed showing the results of the experiment.
Research Interests: Engineering, Mechanical Engineering, Chemical Engineering, Civil Engineering, Earth Sciences, and 15 moreSoil Science, Computer Science, Computer Graphics, Education, Data Mining, Research Methodology, Geotechnical Engineering, Data Analysis, Soil Mechanics, Modeling and Simulation, Soil and Water Engineering, Data Science, Soil Foundations, Soil Test, and Soil Water
The vegetation indices (VIs) derived from the hyperspectral reflectance of vegetation are presented in this study for monitoring live green vegetation in the northern ecosystems of Iceland, along the fjords of Eyjafjörđur and the... more
The vegetation indices (VIs) derived from the hyperspectral reflectance of vegetation are presented in this study for monitoring live green vegetation in the northern ecosystems of Iceland, along the fjords of Eyjafjörđur and the Skagafjörđur. The comparative analysis of the following VIs was performed: the NDVI, RVI, NRVI, TVI, CTVI, TTVI and SAVI. The methodology is based on the raster calculator band in a QGIS. The dataset includes a Landsat TM scene of 2013, UTM Zone 53, WGS84 captured from the GloVis. The computed bands include the NIR and R spectral bands and their combinations according to the algorithms of each of the seven VIs. The hyperspectral reflectance and crop canopy computations were applied to generate various scales of VIs and demonstrated following data range: NDVI: -0.91 to 0.65, RVI: 0.22 to 19.65, NRVI: 0.63 to 0.90, TVI: 0 to 1.12, CTVI: -0.64 to 1.07, TTVI: 0.70 to 1.18 and SAVI: -1.36 to 0.99 (roughly to 1.00). Of these, the RVI, NRVI, TVI and TTVI are adjus...
Research Interests: Landscape Ecology, Geography, Environmental Science, Computer Science, Education, and 15 moreRemote Sensing, Science Education, Data Analysis, Ecology, Environmental Sustainability, Remote sensing and GIS applications in Landscape Research, Iceland, Data Visualization, Satellite Imagery, Vegetation, Hyperspectral Imaging, Alpine and Arctic Research, NDVI Spatial Temporal Vegetation, Multispectral image, and Normalized Difference Vegetation Index
Vegetation of Cameroon includes a variety of landscape types with high biodiversity. Ecological monitoring of Yaoundé requires visualization of vegetation types in context of climate change. Vegetation Indices (VIs) derived from... more
Vegetation of Cameroon includes a variety of landscape types with high biodiversity. Ecological monitoring of Yaoundé requires visualization of vegetation types in context of climate change. Vegetation Indices (VIs) derived from Sentinel-2 multispectral satellite image were analyzed in SAGA GIS to separate wetland biomes, as well as savannah and tropical rainforests. The methodology includes computing 6 VIs: NDVI, DVI, SAVI, RVI, TTVI, CTVI. The VIs shown correlation of data with vegetation distribution rising from wetlands, grassland, savanna, and shrub land towards tropical rainforests, increasing values along with canopy greenness, while also being inversely proportional to soils, urban spaces and Sanaga River. The study contributed to the environmental studies of Cameroon and demonstration of the satellite image processing.
Research Interests: Landscape Ecology, Geography, Cartography, Earth Sciences, Environmental Science, and 15 moreComputer Science, Computer Vision, Education, Image Processing, Remote Sensing, Data Analysis, Africa, Environmental Sustainability, Digital Image Processing, Earth and Environmental Sciences, Data Visualization, Rainforest, Grassland, Biome, and Normalized Difference Vegetation Index
The paper presents technical application of TeX high-level, descriptive markup language for processing geological dataset from soil laboratory. Geotechnical measurements included equivalent soil cohesion, absolute and absolute deformation... more
The paper presents technical application of TeX high-level, descriptive markup language for processing geological dataset from soil laboratory. Geotechnical measurements included equivalent soil cohesion, absolute and absolute deformation index, soil compressibility coefficient by time of immersion depth, exposure time to compressive strength to samples and physical and mechanical properties (humidity, density). Dataset was received from laboratory based experimental tests of the physical and mechanical properties of soils. Data were converted to csv table and processed by LaTeX. Methodology is based on LaTeX packages: {tikz}, {tikz-3dplot}, {tikzpicture}, {pgfplot}, {filecontetns}, {spy} for 3D plotting showing correlation in variables and descriptive statistical analysis based on the data array processing. Results demonstrated LaTeX scripts and graphics: 2D and 3D scatterplots, ternaries, bar charts, boxplots, zooming techniques detailing fragment of the plot, flowchart. Research ...
Research Interests: Civil Engineering, Earth Sciences, Geology, Soil Science, Computer Science, and 15 moreEducation, Science Education, Geotechnical Engineering, Data Analysis, Soil Mechanics, Modeling and Simulation, Clay Minerals, Data Visualization, Engineering Geology and Geotechnical Problems, LaTeX, Graphics, Compressive Strength, Geological Engineering, Markup Languages, and Soil Foundations
The interactions between the geophysical processes and geodynamics of the lithosphere play a crucial role in the geologic structure of the Earth’s crust. The Bangui magnetic anomaly is a notable feature in the lithospheric structure of... more
The interactions between the geophysical processes and geodynamics of the lithosphere play a crucial role in the geologic structure of the Earth’s crust. The Bangui magnetic anomaly is a notable feature in the lithospheric structure of the Central African Republic (CAR) resulting from a complex tectonic evolution. This study reports on the coherence in the geophysical data and magnetic anomaly field analysed from a series of maps. The data used here include raster grids on free-air altimetric gravity, magnetic EMAG2 maps, geoid EGM2008 model and topographic SRTM/ETOPO1 relief. The data were processed to analyse the correspondence between the geophysical and geologic setting in the CAR region. Histogram equalization of the topographic grids was implemented by partition of the raster grids into equal-area patches of data ranged by the segments with relative highs and lows of the relief. The original data were compared with the equalized, normalized and quadratic models. The scripts us...
Research Interests: Environmental Engineering, Cartography, African Studies, Earth Sciences, Geodesy, and 15 moreGeology, Geophysics, Computer Science, Data Analysis, Africa, Geodynamics, Gravimetry, Geological mapping, Gravity Anomaly, Electro Magnetic Fields, Geoid, Lithosphere, Magnetic Anomaly, Central African Republic, and Bouguer Anomaly
Libraries with pre-written codes optimize the workflow in cartography and reduce labour intensive data processing by iteratively applying scripts to implementing mapping tasks. Most existing Geographic Information System (GIS) approaches... more
Libraries with pre-written codes optimize the workflow in cartography and reduce labour intensive data processing by iteratively applying scripts to implementing mapping tasks. Most existing Geographic Information System (GIS) approaches are based on traditional software with a graphical user’s interface which significantly limits their performance. Although plugins are proposed to improve the functionality of many GIS programs, they are usually ad hoc in finding specific mapping solutions, e.g., cartographic projections and data conversion. We address this limitation by applying the principled approach of Geospatial Data ion Library (GDAL), library for conversions between cartographic projections (PROJ) and Geographic Resources Analysis Support System (GRASS) GIS for geospatial data processing and morphometric analysis. This research presents topographic analysis of the dataset using scripting methods which include several tools: (1) GDAL, a translator library for raster and vector...
Research Interests: Geography, Cartography, Earth Sciences, Geodesy, Geomorphology, and 15 moreComputer Science, Programming Languages, Image Processing, Data Analysis, Geoinformatics, Modeling and Simulation, Environmental Sustainability, Morphometry, Geoinformation, Data Visualization, Mapping, GRASS GIS, Geospatial Analysis, Geographic Information System, and geodetic datum
Evaluation of the representative cartographic techniques demonstrated that there are still considerable challenges facing the methods of marine geodetic, geophysical and bathymetric data visualisation. In an oceanic seafloor formation,... more
Evaluation of the representative cartographic techniques demonstrated that there are still considerable challenges facing the methods of marine geodetic, geophysical and bathymetric data visualisation. In an oceanic seafloor formation, the interaction between the geological structural elements and topographical relief can be analysed by advanced mapping. In present study, a correlation between geodesy, geophysics and topography has been examined including the following variables: geological structure, coastal topography and bathymetry, geophysical fields, free-air gravity anomalies and geoid undulation, sediment thickness, bathymetric patterns, and extension of the transform faults. The variables were visualised on the high-resolution raster grids using Generic Mapping Tools (GMT) scripting toolset. The study area is located in the Seychelles and the Somali Sea segment of the Indian Ocean. The data incorporates satellite-derived gravity grid, EGM-2008, geological structures, topogra...
Research Interests: Geography, Cartography, Earth Sciences, Geodesy, Geology, and 15 moreGeophysics, Computer Science, Programming Languages, Education, Computer Engineering, Data Analysis, Sustainable Development, Geoinformatics, Modeling and Simulation, Geodynamics, Environmental Sustainability, Data Visualization, Indian Ocean, Mapping, and Geographic Information Systems (GIS)
This articles presents a new series of maps showing the climate and environmental variability of Botswana. Situated in southern Africa, Botswana has an arid to semi-arid climate, which significantly varies in its different regions:... more
This articles presents a new series of maps showing the climate and environmental variability of Botswana. Situated in southern Africa, Botswana has an arid to semi-arid climate, which significantly varies in its different regions: Kalahari Desert, Makgadikgadi Pan and Okavango Delta. While desert regions are prone to droughts and periods of extreme heat during the summer months, other regions experience heavy downpours, as well as episodic and unpredictable rains that affect agricultural activities. Such climatic variations affect social and economic aspects of life in Botswana. This study aimed to visualise the non-linear correlations between the topography and climate setting at the country’s scale. Variables included T °C min, T °C max, precipitation, soil moisture, evapotranspiration (PET and AET), downward surface shortwave radiation, vapour pressure and vapour pressure deficit (VPD), wind speed and Palmer Drought Severity Index (PDSI). The dataset was taken from the TerraClim...
Research Interests: Environmental Engineering, Geography, Cartography, Environmental Science, Computer Science, and 15 moreEducation, Climate Change, Climatology, Africa, Geoinformatics, Image Analysis, Environmental Sustainability, Geoinformation, Data Visualization, Computer Programming, Mapping, Evapotranspiration, Geospatial Analysis, Precipitation, and Arid
This paper describes a scripting cartographic techniques that automatically generate maps from open source spatial data using syntax of General Mapping Tools (GMT) and R. A case study present mapping East Africa with a focus on Malawi. In... more
This paper describes a scripting cartographic techniques that automatically generate maps from open source spatial data using syntax of General Mapping Tools (GMT) and R. A case study present mapping East Africa with a focus on Malawi. In this study, two different approaches of scripting cartography using R programming language and GMT were studied for geophysical analysis aimed to visualize a series of eight new maps in Malawi: topography based on the GEBCO data, seismicity, geomorphometric modeling based on SRTM-90 m (slope, aspect, hillshade and elevation) and geophysical fields: geoid based on EGM-2008 and free-air Faye's gravity based on satellite derived gravity data from CryoSat-2 and Jason-1. In contrast to previous maps of Malawi, a scripting approach was introduced as a console-based cartographic mapping developed for plotting a series of thematic maps based on the high-resolution data. The maps demonstrate correlations between the topography and tectonic faults (Malaw...
Research Interests: Geography, Environmental Science, Geodesy, Geology, Geomorphology, and 15 moreGeophysics, Education, Educational Technology, Data Mining, Data Analysis, Africa, Geoinformatics, Applied Geology, Environmental Sustainability, Exploration Geophysics, Malawi, Programming, Natural Resources Management, RIFT, and Scripting Language
Ghana is a country exceptionally rich in geologic mineral resources with contrasting topographic relief and varied geophysical setting. This paper evaluated the geological and geophysical setting of Ghana with a special focus on the... more
Ghana is a country exceptionally rich in geologic mineral resources with contrasting topographic relief and varied geophysical setting. This paper evaluated the geological and geophysical setting of Ghana with a special focus on the impact of the geologic setting and topography on gravity. Specifically, it assessed how variations in geology, topography, landscapes and the environment control the geophysical parameters and how these vary among the major regions of the country – the Volta Basin, Northern Plains, Ashanti-Kwahu (Kumasi) and Coastal Plains in the Accra surroundings. Previous studies utilizing traditional Geographic Information System (GIS) approaches have documented the geologic evolution of Ghana evolved as a part of the West African Craton. As a contribution to the existing research, this paper presents a regional analysis of Ghana by integrated mapping of geology, geophysics and topography of the country. The technical approach of this research focuses on utilizing th...
Research Interests: Geography, Cartography, African Studies, Earth Sciences, Geodesy, and 15 moreGeology, Geophysics, Computer Science, Information Technology, Data Mining, Data Analysis, Geoinformatics, West Africa, Natural Resource Management, Ghana, Data Visualization, Geological mapping, Mineral Resources, Geologic map, and Geographic Information Systems (GIS)
In this paper, an integrated mapping of the georeferenced data is presented using the QGIS and GMT scripting tool set. The study area encompasses the Bolivian Andes, South America, notable for complex geophysical and geological parameters... more
In this paper, an integrated mapping of the georeferenced data is presented using the QGIS and GMT scripting tool set. The study area encompasses the Bolivian Andes, South America, notable for complex geophysical and geological parameters and high seismicity. A data integration was performed for a detailed analysis of the geophysical and geological setting. The data included the raster and vector datasets captured from the open sources: the IRIS seismic data (2015 to 2021), geophysical data from satellite-derived gravity grids based on CryoSat, topographic GEBCO data, geoid undulation data from EGM-2008, and geological georeferences’ vector data from the USGS. The techniques of data processing included quantitative and qualitative evaluation of the seismicity and geophysical setting in Bolivia. The result includes a series of thematic maps on the Bolivian Andes. Based on the data analysis, the western region was identified as the most seismically endangered area in Bolivia with a hi...
Research Interests: Geography, Latin American Studies, Geodesy, Geology, Geophysics, and 15 moreComputer Science, Programming Languages, Education, Data Analysis (Engineering), Data Mining, Sustainable Development, Quaternary Geology, Bolivia, Environmental Sustainability, Andes, Applied Geophysics, Data, Natural Resources Management, Mineral Resources, and South America
Geomorphology of Lebanon presents a unique pattern of contrasting landforms. These include two notable mountain ranges, the Lebanon and Anti-Lebanon Mountains, the Beqaa Valley, the elongated coastal area and a significant amount of karst... more
Geomorphology of Lebanon presents a unique pattern of contrasting landforms. These include two notable mountain ranges, the Lebanon and Anti-Lebanon Mountains, the Beqaa Valley, the elongated coastal area and a significant amount of karst relief forms. This study focuses on the investigation of the topographic and geologic setting of Lebanon by visualizing datasets covering Lebanon and Anti-Lebanon mountains and the Beqaa Valley. Data were collected using the open source repositories of the high-resolution data (GEBCO, ETOPO1, DEM embedded in R). Three 3D models of the relief of the country are presented based on the ‘grdview’ package of GMT with azimuth rotations of the view point at 205°/30° and 165°/30°. The geologic map is based on the compiled datasets of the USGS. The R based modelling allowed division of the raster grid into several geomorphological zones according to the slope steepness and aspect orientation. The extreme elevations of the study area range from -2007 m and 2...
Research Interests: Geography, Cartography, Geology, Geomorphology, Education, and 15 moreMiddle East Studies, Data Analysis, Sustainable Development, Lebanon, Mediterranean Studies, Sustainable Water Resources Management, Environmental Sustainability, Remote sensing and GIS, Middle East, Data Visualization, Mapping, Topography, Topografia, Landform, and Geographic Information Systems (GIS)
Geophysical data from open sources are widely used as support of integrated analysis in regional geologic studies in seismically active areas, such as Mexico. High seismicity with repetitive earthquakes occurs in areas of the subduction... more
Geophysical data from open sources are widely used as support of integrated analysis in regional geologic studies in seismically active areas, such as Mexico. High seismicity with repetitive earthquakes occurs in areas of the subduction zones formed during the tectonic evolution and correlates with geophysical anomalous fields. This paper investigates the correspondence between the geophysical, topographic and seismic setting of Mexico using Generic Mapping Tools (GMT) scripting toolset for data processing. The approach for automated mapping using GMT console and shell scripts is presented as an advanced cartographic method aimed to get insights into in the geology and geophysics of Mexico. The data were obtained from open source high-resolution datasets: GEBCO, EGM-2008, satellite-derived gravity, EMAG2 magnetic anomaly and IRIS seismic database. The correspondence between the geological and geophysical data of Mexico has been verified through the comparison between the thematic ma...
Research Interests: Geography, Cartography, Latin American Studies, Earth Sciences, Geology, and 15 moreGeophysics, Computer Science, Education, Earthquake Engineering, Data Analysis, Geoinformatics, Modeling and Simulation, Exploration Geophysics, Mexico, Data Visualization, Data Science, Geological mapping, Geologia, Seismicity, and MEXICO
The study presents the 2D and 3D mapping of the Mesopotamia Foredeep Basin, Iraq, and the adjacent areas using integrated cartographic approach of multi-source data visualization by Generic Mapping Tools (GMT), R language and QGIS. The... more
The study presents the 2D and 3D mapping of the Mesopotamia Foredeep Basin, Iraq, and the adjacent areas using integrated cartographic approach of multi-source data visualization by Generic Mapping Tools (GMT), R language and QGIS. The geomorphological and geological mapping is based on multiple datasets containing raster and vector layers of the geological, geophysical, topographic, lithological and geodetic data captured from the open source repositories and resulted in 8 new maps. This study develops and presents an integrated cartographic method combining the use of various tools for different tasks in data visualization: QGIS for geological mapping, GMT for mapping geoid, gravity anomalies, 3D mesh visualization and 2D topographic mapping, R language (libraries 'raster' and 'tmap') for modelling relief (slope and aspect) of Iraq. The topography shows variation in data from minimum at -69 m below sea level in the Arabian Gulf, to maximum at 3754 m asl in the NE o...
Research Interests: Geography, Cartography, Earth Sciences, Geology, Geomorphology, and 15 moreGeophysics, Computer Science, Programming Languages, Education, Middle East Studies, Geoinformatics, Environmental Sustainability, Exploration Geophysics, Data Visualization, Scripting, Data Science, Geological mapping, Mesopotamia, Mineral Resources, and Oil and Gas Reservoir Characterization
Research Interests: Geography, Cartography, Latin American Studies, Earth Sciences, Environmental Science, and 13 moreComputer Science, Education, Climate Change, Machine Learning, Sustainable Development, Environmental Sustainability, Remote sensing and GIS applications in Landscape Research, Earth and Environmental Sciences, São Paulo (Brazil), Digital mapping, América Latina, South America, and Geographic Information Systems (GIS)
Research Interests: Cartography, Earth Sciences, Geodesy, Geology, Geomorphology, and 15 moreGeophysics, Computer Science, Programming Languages, Data Analysis, Pakistan, Modeling and Simulation, Geodynamics, Environmental Sustainability, Gravimetry, Data Visualization, Pakistan Studies, Data Science, Mapping, Gravity, and Ophiolite
Integrated mapping is essential in geological studies to assess risks of earthquake hazards. Cartographic techniques have become a commonplace approach to visualizing data in the continuous geologic and geophysical fields. However,... more
Integrated mapping is essential in geological studies to assess risks of earthquake hazards. Cartographic techniques have become a commonplace approach to visualizing data in the continuous geologic and geophysical fields. However, traditional GIS mapping is a manual process with a time-consuming workflow that can lead to mistakes and misinterpretation of data. This study applied two mapping approaches to address this problem: Generic Mapping Tools (GMT) used for automated cartographic workflow employing scripts and QGIS used for traditional geologic mapping. The study area includes Ethiopia, notable for its complex geologic setting. The study aimed to analyse the relationships between the geophysical, geological, topographic and seismic setting of the country by presenting six new thematic maps:1 topography based on the GEBCO/SRTM15+ high-resolution grid;2 geological units with consistent lithology and age from the USGS database;3 geological provinces with major Amhara Plateau and ...
Research Interests: Geography, Cartography, African Studies, Environmental Science, Geodesy, and 15 moreGeology, Geophysics, Computer Science, Education, Remote Sensing, Ethiopian Studies, Africa, Natural Hazards, Environmental Sustainability, Remote sensing and GIS applications in Landscape Research, Landscape, Applied Geophysics, Induced Seismicity, RIFT, and Geologic map
The article reports the issues corresponding to the climate variability and possibility of droughts in spatially distinct regions of Paraguay, the Chaco and the Oriental (Paraná Basin). Based on the GMT scripting approach and... more
The article reports the issues corresponding to the climate variability and possibility of droughts in spatially distinct regions of Paraguay, the Chaco and the Oriental (Paraná Basin). Based on the GMT scripting approach and high-resolution datasets from the TerraClimate and GEBCO, the study examined the extent of the annual climate and environmental variables over Paraguay in 2020: extreme temperatures, wind speed, precipitation, soil moisture, evapotranspiration, Palmer's Drought Severity Index (PDSI), vapour pressure deficit (VPD) and the topography of the country. The environmental and climate parameters demonstrated spatial variability in the Dry Chaco with notable differences in Gran Chaco and Chaco Boreal, wetlands of Pantanal, and tropical rainforests in east of the Paraguay. Besides climate analysis, technical snippets from the GMT scripts regarding the mapping techniques and data processing were explained and commented. Research results show that actual evapotranspira...
Research Interests: Environmental Engineering, Geography, Cartography, Earth Sciences, Education, and 15 moreClimate Change, Data Analysis, Environmental Monitoring, Vegetation Ecology, Remote Sensing (Earth Sciences), Remote sensing and GIS applications in Landscape Research, Sustainable Rural Development, Geo-spatial analysis with GIS and GPS, Data Visualization, Social Science Research Network, Cartografia, América Latina, Geographic Information Systems (GIS), Thematic Mapping, and Renewable Energy and Climate Change
English Abstract: The paper presents the use of scripting cartographic techniques for the visualization of topographic and geomorphological maps by R and GMT. The thematic maps intend to analyze the region of Peru with specific focus on... more
English Abstract: The paper presents the use of scripting cartographic techniques for the visualization of topographic and geomorphological maps by R and GMT. The thematic maps intend to analyze the region of Peru with specific focus on its geomorphology: slope, aspect, elevation and hillshade performed in R libraries ‘raster’ and ‘tmap’. The integrated free materials include several datasets embedded in R library ‘OpenStreetMap’: Stamen, ESRI World Imagery, Bing Maps, National Park Service. The research shows a particular example of the use of open source datasets and free tools available for distance-based online education and research, which becomes an actual tendency in modern geographic research. Spanish Abstract: El artículo presenta el uso de técnicas cartográficas de scripting para la visualización de mapas topográficos y geomorfológicos por R y GMT. Los mapas temáticos pretenden analizar la región del Perú con un enfoque específico en su geomorfología: pendiente, aspecto, elevación y sombreado realizado en las bibliotecas R «raster» y «tmap». Los materiales integrados incluyen varios conjuntos de datos integrados en la biblioteca R "OpenStreetMap": Stamen, ESRI World Imagery, Bing Maps, National Park Service. La investigación muestra un ejemplo particular del uso de conjuntos de datos de código abierto y herramientas gratuitas disponibles para la educación e investigación en línea a distancia, que se convierte en una tendencia real en la investigación geográfica moderna.
Research Interests:
Gretl and R statistical libraries enables to perform data analysis using various algorithms, modules and functions. The case study of this research consists in geospatial analysis of the Mariana Trench, a hadal trench located in the... more
Gretl and R statistical libraries enables to perform data analysis using various algorithms, modules and functions. The case study of this research consists in geospatial analysis of the Mariana Trench, a hadal trench located in the Pacific Ocean. Technically, data modelling was performed using multi-functional combined approach of both Gretl and R libraries. The study aim is modelling and visualizing trends in the variations of the trench's properties: bathymetry (depths), geomorphology (steepness gradient), geology, volcanism (igneous rocks). The workflow included following statistical methods computed and visualized by Gretl and R libraries: 1) descriptive statistics; 2) box plots, normality analysis by quantile-quantile (QQ) plots; 3) local weighted polynomial regression model (loess), 4) linear regression by several methods: weighted least squares (WLS) regression, ordinary least squares (OLS) regression, maximal likelihood linear regression and heteroskedasticity regressio...
Research Interests:
The aim of this work is to identify main impact factors affecting variations in the geomorphology of the Mariana Trench which is the deepest place of the Earth, located in the west Pacific Ocean: steepness angle and structure of the... more
The aim of this work is to identify main impact factors affecting variations in the geomorphology of the Mariana Trench which is the deepest place of the Earth, located in the west Pacific Ocean: steepness angle and structure of the sediment compression. The Mariana Trench presents a complex ecosystem with highly interconnected factors: geology (sediment thickness and tectonics including four plates that Mariana trench crosses: Philippine, Pacific, Mariana, Caroline), bathymetry (coordinates, slope angle, depth values in the observation points). To study such a complex system, an objective method combining various approaches (statistics, R, GIS, descriptive analysis and graphical plotting) was performed. Methodology of the research includes following clusters: R programming language for writing codes, statistical analysis, mathematical algorithms for data processing, analysis and visualizing diagrams, GIS for digitizing bathymetric profiles and spatial analysis. The statistical anal...
A functionality of R programming language has been tested in the scope of this research. It proved to be as an effective tool for studying distribution of the environmental factors affecting the tectonic structure, as well as geomorphic... more
A functionality of R programming language has been tested in the scope of this research. It proved to be as an effective tool for studying distribution of the environmental factors affecting the tectonic structure, as well as geomorphic properties at the seafloor basement of the Mariana Trench. The study revealed distinct unevenness of various factors affecting Mariana Trench geomorphic structure. The bathymetric determinant of the four distinct groups of the cross section profiles cause certain variability in the sedimental thickness of the basement, slope angle steepness degree, angle aspect, depth at the basement, as well as depth values (means, median and absolute minimum). Among other factors a magmatism of the nearby area is to be mention. The closeness of the igneous volcanic areas contribute towards earthquake frequency across four tectonic plates – Mariana, Pacific, Philippine Sea and Caroline. The results demonstrated that cross-section profiles of the Mariana Trench can b...
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This paper introduces an application of the R programming language environment for geostatistical data processing with a case study of the Mariana Trench, Pacific Ocean. Mariana trench is the deepest among all hadal oceanic depth... more
This paper introduces an application of the R programming language environment for geostatistical data processing with a case study of the Mariana Trench, Pacific Ocean. Mariana trench is the deepest among all hadal oceanic depth trenches. Its formation is caused by the complex and diverse geomorphic factors impacting its development. The impact of these factors have been studies in this paper using R based statistical analysis and data visualization. Data included tectonic plates, bathymetric profiles, slope angles, aspect class, magmatism of igneous volcanic areas, sedimental thickness. The results consists in following achievements: (1) GIS cross-section profiles visualization; (2) estimated effects of the data distribution according to the tectonic plates crossing, slope degree, closeness of the igneous volcanic areas and depth; (3) geospatial comparative analysis of data distribution by four tectonic plates; (4) quantified similarities between the distributional data distances ...
Student report discusses current situation and progress in the development of the seafloor methods in modern China. Proper development of the marine geology program on the governmental level has started successfully and continues... more
Student report discusses current situation and progress in the development of the seafloor methods in modern China. Proper development of the marine geology program on the governmental level has started successfully and continues developing. Planning and organization of the geological research and survey is conducted by the Ministry of Geology. The regional departments through territorial geological management and geological agencies, ministries related to development of mineral resources and construction.
Research Interests: Geography, Earth Sciences, Environmental Science, Geology, Computer Science, and 15 moreDevelopment Economics, Communication, Education, Development Studies, Environmental Education, Social Sciences, Environmental Studies, Data Analysis, Monitoring And Evaluation, Political Science, Sustainable Development, Environmental Management, Environmental Sustainability, Earth and Environmental Sciences, and Sustainability
Research Interests: Environmental Engineering, Geography, Cartography, Earth Sciences, Environmental Science, and 15 moreOceanography, Computer Science, Programming Languages, Artificial Intelligence, Education, Image Processing, Remote Sensing, Machine Learning, Environmental Studies, Sustainable Development, Image Analysis, Environmental Sustainability, Remote sensing and GIS applications in Landscape Research, Automation, and Linear Discriminant Analysis
This research focuses on the analysis of the submarine geomorphology in the Mariana Trench located in west Pacific Ocean. The research question is to identify variations in the geomorphic form and bathymetry in different segments of the... more
This research focuses on the analysis of the submarine geomorphology in the Mariana Trench located in west Pacific Ocean. The research question is to identify variations in the geomorphic form and bathymetry in different segments of the trench. Technically, the paper applies Python and R programming statistical libraries for geospatial modelling of the data sets. The methodological approach of the statistical data analysis by scripting libraries aimed to visualize geomorphic variations in the 25 transect profiles of the trench. Multiple factors affect submarine geomorphology causing variations in the gradient slope: geological settings (rock composition, structure, permeability, erodibility of the materials), submarine erosion, gravity flows of water streams, tectonics, sediments from the volcanic arcs, transported by transverse submarine canyons. Understanding changes in geomorphic variations is important for the correct geospatial analysis. However, modelling such a complex struct...
Research Interests: Geography, Earth Sciences, Environmental Science, Geology, Computer Science, and 15 moreProgramming Languages, Philosophy of Science, Education, Educational Technology, Social Sciences, Teacher Education, Science Education, Higher Education, Mathematics Education, Data Analysis, Political Science, Computational Modelling, Modeling and Simulation, Mathematical Modelling, and Geographic Information Systems (GIS)
Scripting cartographic technique is a new method of geospatial data visualization - especially with thematic mapping such as geomorphological models. The purpose of this study was to explore the use of Generic Mapping Tools (GMT) and R... more
Scripting cartographic technique is a new method of geospatial data visualization - especially with thematic mapping such as geomorphological models. The purpose of this study was to explore the use of Generic Mapping Tools (GMT) and R for geomorphological and topographic mapping of Serbia using free open datasets (DEM, SRTM/ GEBCO, OpenStreetMap). Current trend in education and research of distance-based and online-based education suggests that application of free high-resolution data for modelling and mapping by open source cartographic toolsets are more likely to result in deep geospatial analysis of the geomorphology of Balkans with associated geographic phenomena: hydrology, soils, vegetation, geology. Presented fragments of scripts aim to demonstrate the technical usage of R and GMT coding in cartographic workflow with a case study on Serbia. Using qualitative descriptive cartographic approach to visualize the slope, aspect and terrain elevations over the country and the ?rast...