DOAJ (DOAJ: Directory of Open Access Journals), 2019
Infrared thermography is a non-invasive and non-contact technique that provides surface temperatu... more Infrared thermography is a non-invasive and non-contact technique that provides surface temperature distribution by measuring infrared radiation emitted by a body. The instrument that can determine the surface temperature of the object indicated is the thermal-camera. Nowadays, the use of thermal imaging is increasingly widespread and its application fi elds are numerous, especially in the construction environment. In this way, using a modern thermal-camera, it has showed in this paper the high performance of temperature map generated by these instruments. The integration of thermal camera with optical sensors allows to obtain, by a suitable methodology, a high quality of thermal image. Indeed, taking in account large building, it is impossible to cover the whole building and at the same time acquire with a high geometric resolution in relation to the modern thermal camera. In order to identify anomalies temperature on large and modern structure, a case study of the use of thermal images building is showed in the manuscript. Indeed, the knowledge of temperature distribution on the facade of the building provides very useful information to discover many hidden conditions related to the building performance, maintenance and energy effi cient. Because the construction fi eld accounts for 40% of energy demand in Europe, the use of thermal images in this environment provides an important contribute in the analyses process of temperature archived on the buildings.
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021
Apps available for Smartphone, as well as software for GNSS/GIS devices, permit to easily mapping... more Apps available for Smartphone, as well as software for GNSS/GIS devices, permit to easily mapping the localization and shape of an area by acquiring the vertices coordinates of its contour. This option is useful for remote sensing classification, supporting the detection of representative sample sites of a known cover type to use for algorithm training or to test classification results. This article aims to analyse the possibility to produce smart maps from remotely sensed image classification in rapid way: the attention is focalized on different methods that are compared to identify fast and accurate procedure for producing up-to-date and reliable maps. Landsat 8 OLI multispectral images of northern Sicily (Italy) are submitted to various classification algorithms to distinguish water, bare soil and vegetation. The resulting map is useful for many purposes: appropriately inserted in a larger database aimed at representing the situation in a space-time evolutionary scenario, it is suitable whenever you want to capture the variation induced in a scene, e.g. burnt areas identification, vegetated areas definition for tourist-recreational purposes, etc. Particularly, pixel-based classification approaches are preferred, and experiments are carried out using unsupervised (k-means), vegetation index (NDVI, Normalized Difference Vegetation Index), supervised (minimum distance, maximum likelihood) methods. Using test sites, confusion matrix is built for each method, and quality indices are calculated to compare the results. Experiments demonstrate that NDVI submitted to k-means algorithm allows the best performance for distinguishing not only vegetation areas but also water bodies and bare soils. The resulting thematic map is converted for web publishing.
Orthometric heights, useful for many engineering and geoscience applications, can be obtained by ... more Orthometric heights, useful for many engineering and geoscience applications, can be obtained by GPS (Global Positioning System) surveys only when an accurate geoid undulation model (that supplies the vertical separation between the geoid and WGS84 ellipsoid) is available for the considered topic area. Global geoid height models (i.e., EGM2008), deriving from satellite gravity measurements suitably integrated with other data are free available on web, but their accuracy is often not sufficient for the user’s purposes. More accurate local models can nevertheless be acquired, but often only for a fee. GPS/levelling surveys are suitable for determining a local, accurate geoid model, but may be too expensive. This paper aims to demonstrate that GNSS (Global Navigation Satellite System) Permanent Station documents (monographs), freely available on the web and supplying orthometric and ellipsoidal heights, permit to calculate precise geoidal undulations useful to perform global geoid mode...
For the construction of Digital Terrain Models (DTM) multiple methods can be used: beginning from... more For the construction of Digital Terrain Models (DTM) multiple methods can be used: beginning from quoted points, obtained with direct relief or extracted from cartography, elevations in the nodes of the grid are determined, using interpolation methods of deterministic or stochastic type: the first are based on mathematical formulas, the seconds also on statistic considerations. Operating on the same data set, according to the used method the results change, for which the choice becomes fundamental because it influences quality, accuracy and successive possibilities to analyze. In this paper the results obtained in the construction of DTM from multiple methods are compared: relatively to an area in Campania Region cartographic data are considered (quoted points and contour lines) for the realization of three-dimensional models with the software Surfer 8.0, produced by Golden Software. The powerful of the interpolation algorithm in the definition of the quota is evaluated with the statistic analysis of the differences between the calculated quotas and the effective ones in the initial points, as well as applying Cross Validation. The results obtained from the applications of several methods (Triangulation with linear interpolation, IDW, Kriging, Nearest neighbour, Natural neighbour, Radial Basis Function, Polynomial regression, Local Polynomial, Moving Average) are compared.
ABSTRACT The use of remote-sensing images is becoming common practice in the fight against enviro... more ABSTRACT The use of remote-sensing images is becoming common practice in the fight against environmental crimes. However, the challenge of exploiting the complementary infor- mation provided by radar and optical data, and by more conventional sources encoded in geographic information systems, is still open. In this work, we propose a new workflow for the detection of potentially hazardous cattle-breeding facilities, exploit- ing both synthetic aperture radar and optical multitemporal data together with geospa- tial analyses in the geographic information system environment. The data fusion is performed at a feature-based level. Experiments on data available for the area of Caserta, in southern Italy, show that the proposed technique provides very high detection capability, up to 95%, with a very low false alarm rate. A fast and easy-to- use system has been realized based on this approach, which is a useful tool in the hand of agencies engaged in the protection of territory.
Earth Resources and Environmental Remote Sensing/GIS Applications V, 2014
In this paper we propose a GIS-based methodology, using optical and SAR remote sensing data, toge... more In this paper we propose a GIS-based methodology, using optical and SAR remote sensing data, together with more conventional sources, for the detection of small cattle breeding areas, potentially responsible of hazardous littering. This specific environmental problem is very relevant for the Caserta area, in southern Italy, where many small buffalo breeding farms exist which are not even known to the productive activity register, and are not easily monitored and surveyed. Experiments on a test area, with available specific ground truth, prove that the proposed systems is characterized by very large detection probability and negligible false alarm rate.
Orthometric heights, useful for many engineering and geoscience applications, can be obtained by ... more Orthometric heights, useful for many engineering and geoscience applications, can be obtained by GPS (Global Positioning System) surveys only when an accurate geoid undulation model (that supplies the vertical separation between the geoid and WGS84 ellipsoid) is available for the considered topic area. Global geoid height models (i.e., EGM2008), deriving from satellite gravity measurements suitably integrated with other data are free available on web, but their accuracy is often not sufficient for the user’s purposes. More accurate local models can nevertheless be acquired, but often only for a fee. GPS/levelling surveys are suitable for determining a local, accurate geoid model, but may be too expensive. This paper aims to demonstrate that GNSS (Global Navigation Satellite System) Permanent Station documents (monographs), freely available on the web and supplying orthometric and ellipsoidal heights, permit to calculate precise geoidal undulations useful to perform global geoid mode...
ABSTRACT The aim of this paper is to demonstrate the versatility of GIS (Geographic Information S... more ABSTRACT The aim of this paper is to demonstrate the versatility of GIS (Geographic Information System) tools to map volcanic risk. The work was conducted within the Course of Thematic Mapping at University of Naples “Parthenope” and referred to one of the most significant volcanic area in Italy that is around the Vesuvius. Formula of UNESCO was used to map Risk: Map Algebra functions were applied to vector files concerning Hazard and Value, while Vulnerability, because of didactic simplification, was considered equal to a constant (value=1) for the whole geographic area. Georeferencing and vectorizing processes were carried out on the original raster map of Vesuvius Hazard while population data by ISTAT (the Italian National Institute of Statistics) were jointed to the shape file of the Campania Municipalities to build the Value layer. To consider more realistic distribution of people also CORINE Land Cover (CLC) layer was introduced taking into account the first level of its categories (Artificial, Agricultural, Natural areas). Considering different sources of information (ISTAT data, CLC data, integration of ISTAT and CLC data) for Value layer definition, three different volcanic risk maps were obtained and compared.
For the construction of Digital Terrain Models (DTM) multiple methods can be used: beginning from... more For the construction of Digital Terrain Models (DTM) multiple methods can be used: beginning from quoted points, obtained with direct relief or extracted from cartography, elevations in the nodes of the grid are determined, using interpolation methods of deterministic or stochastic type: the first are based on mathematical formulas, the seconds also on statistic considerations. Operating on the same data set, according to the used method the results change, for which the choice becomes fundamental because it influences quality, accuracy and successive possibilities to analyze. In this paper the results obtained in the construction of DTM from multiple methods are compared: relatively to an area in Campania Region cartographic data are considered (quoted points and contour lines) for the realization of three-dimensional models with the software Surfer 8.0, produced by Golden Software. The powerful of the interpolation algorithm in the definition of the quota is evaluated with the statistic analysis of the differences between the calculated quotas and the effective ones in the initial points, as well as applying Cross Validation. The results obtained from the applications of several methods (Triangulation with linear interpolation, IDW, Kriging, Nearest neighbour, Natural neighbour, Radial Basis Function, Polynomial regression, Local Polynomial, Moving Average) are compared.
DOAJ (DOAJ: Directory of Open Access Journals), 2019
Infrared thermography is a non-invasive and non-contact technique that provides surface temperatu... more Infrared thermography is a non-invasive and non-contact technique that provides surface temperature distribution by measuring infrared radiation emitted by a body. The instrument that can determine the surface temperature of the object indicated is the thermal-camera. Nowadays, the use of thermal imaging is increasingly widespread and its application fi elds are numerous, especially in the construction environment. In this way, using a modern thermal-camera, it has showed in this paper the high performance of temperature map generated by these instruments. The integration of thermal camera with optical sensors allows to obtain, by a suitable methodology, a high quality of thermal image. Indeed, taking in account large building, it is impossible to cover the whole building and at the same time acquire with a high geometric resolution in relation to the modern thermal camera. In order to identify anomalies temperature on large and modern structure, a case study of the use of thermal images building is showed in the manuscript. Indeed, the knowledge of temperature distribution on the facade of the building provides very useful information to discover many hidden conditions related to the building performance, maintenance and energy effi cient. Because the construction fi eld accounts for 40% of energy demand in Europe, the use of thermal images in this environment provides an important contribute in the analyses process of temperature archived on the buildings.
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021
Apps available for Smartphone, as well as software for GNSS/GIS devices, permit to easily mapping... more Apps available for Smartphone, as well as software for GNSS/GIS devices, permit to easily mapping the localization and shape of an area by acquiring the vertices coordinates of its contour. This option is useful for remote sensing classification, supporting the detection of representative sample sites of a known cover type to use for algorithm training or to test classification results. This article aims to analyse the possibility to produce smart maps from remotely sensed image classification in rapid way: the attention is focalized on different methods that are compared to identify fast and accurate procedure for producing up-to-date and reliable maps. Landsat 8 OLI multispectral images of northern Sicily (Italy) are submitted to various classification algorithms to distinguish water, bare soil and vegetation. The resulting map is useful for many purposes: appropriately inserted in a larger database aimed at representing the situation in a space-time evolutionary scenario, it is suitable whenever you want to capture the variation induced in a scene, e.g. burnt areas identification, vegetated areas definition for tourist-recreational purposes, etc. Particularly, pixel-based classification approaches are preferred, and experiments are carried out using unsupervised (k-means), vegetation index (NDVI, Normalized Difference Vegetation Index), supervised (minimum distance, maximum likelihood) methods. Using test sites, confusion matrix is built for each method, and quality indices are calculated to compare the results. Experiments demonstrate that NDVI submitted to k-means algorithm allows the best performance for distinguishing not only vegetation areas but also water bodies and bare soils. The resulting thematic map is converted for web publishing.
Orthometric heights, useful for many engineering and geoscience applications, can be obtained by ... more Orthometric heights, useful for many engineering and geoscience applications, can be obtained by GPS (Global Positioning System) surveys only when an accurate geoid undulation model (that supplies the vertical separation between the geoid and WGS84 ellipsoid) is available for the considered topic area. Global geoid height models (i.e., EGM2008), deriving from satellite gravity measurements suitably integrated with other data are free available on web, but their accuracy is often not sufficient for the user’s purposes. More accurate local models can nevertheless be acquired, but often only for a fee. GPS/levelling surveys are suitable for determining a local, accurate geoid model, but may be too expensive. This paper aims to demonstrate that GNSS (Global Navigation Satellite System) Permanent Station documents (monographs), freely available on the web and supplying orthometric and ellipsoidal heights, permit to calculate precise geoidal undulations useful to perform global geoid mode...
For the construction of Digital Terrain Models (DTM) multiple methods can be used: beginning from... more For the construction of Digital Terrain Models (DTM) multiple methods can be used: beginning from quoted points, obtained with direct relief or extracted from cartography, elevations in the nodes of the grid are determined, using interpolation methods of deterministic or stochastic type: the first are based on mathematical formulas, the seconds also on statistic considerations. Operating on the same data set, according to the used method the results change, for which the choice becomes fundamental because it influences quality, accuracy and successive possibilities to analyze. In this paper the results obtained in the construction of DTM from multiple methods are compared: relatively to an area in Campania Region cartographic data are considered (quoted points and contour lines) for the realization of three-dimensional models with the software Surfer 8.0, produced by Golden Software. The powerful of the interpolation algorithm in the definition of the quota is evaluated with the statistic analysis of the differences between the calculated quotas and the effective ones in the initial points, as well as applying Cross Validation. The results obtained from the applications of several methods (Triangulation with linear interpolation, IDW, Kriging, Nearest neighbour, Natural neighbour, Radial Basis Function, Polynomial regression, Local Polynomial, Moving Average) are compared.
ABSTRACT The use of remote-sensing images is becoming common practice in the fight against enviro... more ABSTRACT The use of remote-sensing images is becoming common practice in the fight against environmental crimes. However, the challenge of exploiting the complementary infor- mation provided by radar and optical data, and by more conventional sources encoded in geographic information systems, is still open. In this work, we propose a new workflow for the detection of potentially hazardous cattle-breeding facilities, exploit- ing both synthetic aperture radar and optical multitemporal data together with geospa- tial analyses in the geographic information system environment. The data fusion is performed at a feature-based level. Experiments on data available for the area of Caserta, in southern Italy, show that the proposed technique provides very high detection capability, up to 95%, with a very low false alarm rate. A fast and easy-to- use system has been realized based on this approach, which is a useful tool in the hand of agencies engaged in the protection of territory.
Earth Resources and Environmental Remote Sensing/GIS Applications V, 2014
In this paper we propose a GIS-based methodology, using optical and SAR remote sensing data, toge... more In this paper we propose a GIS-based methodology, using optical and SAR remote sensing data, together with more conventional sources, for the detection of small cattle breeding areas, potentially responsible of hazardous littering. This specific environmental problem is very relevant for the Caserta area, in southern Italy, where many small buffalo breeding farms exist which are not even known to the productive activity register, and are not easily monitored and surveyed. Experiments on a test area, with available specific ground truth, prove that the proposed systems is characterized by very large detection probability and negligible false alarm rate.
Orthometric heights, useful for many engineering and geoscience applications, can be obtained by ... more Orthometric heights, useful for many engineering and geoscience applications, can be obtained by GPS (Global Positioning System) surveys only when an accurate geoid undulation model (that supplies the vertical separation between the geoid and WGS84 ellipsoid) is available for the considered topic area. Global geoid height models (i.e., EGM2008), deriving from satellite gravity measurements suitably integrated with other data are free available on web, but their accuracy is often not sufficient for the user’s purposes. More accurate local models can nevertheless be acquired, but often only for a fee. GPS/levelling surveys are suitable for determining a local, accurate geoid model, but may be too expensive. This paper aims to demonstrate that GNSS (Global Navigation Satellite System) Permanent Station documents (monographs), freely available on the web and supplying orthometric and ellipsoidal heights, permit to calculate precise geoidal undulations useful to perform global geoid mode...
ABSTRACT The aim of this paper is to demonstrate the versatility of GIS (Geographic Information S... more ABSTRACT The aim of this paper is to demonstrate the versatility of GIS (Geographic Information System) tools to map volcanic risk. The work was conducted within the Course of Thematic Mapping at University of Naples “Parthenope” and referred to one of the most significant volcanic area in Italy that is around the Vesuvius. Formula of UNESCO was used to map Risk: Map Algebra functions were applied to vector files concerning Hazard and Value, while Vulnerability, because of didactic simplification, was considered equal to a constant (value=1) for the whole geographic area. Georeferencing and vectorizing processes were carried out on the original raster map of Vesuvius Hazard while population data by ISTAT (the Italian National Institute of Statistics) were jointed to the shape file of the Campania Municipalities to build the Value layer. To consider more realistic distribution of people also CORINE Land Cover (CLC) layer was introduced taking into account the first level of its categories (Artificial, Agricultural, Natural areas). Considering different sources of information (ISTAT data, CLC data, integration of ISTAT and CLC data) for Value layer definition, three different volcanic risk maps were obtained and compared.
For the construction of Digital Terrain Models (DTM) multiple methods can be used: beginning from... more For the construction of Digital Terrain Models (DTM) multiple methods can be used: beginning from quoted points, obtained with direct relief or extracted from cartography, elevations in the nodes of the grid are determined, using interpolation methods of deterministic or stochastic type: the first are based on mathematical formulas, the seconds also on statistic considerations. Operating on the same data set, according to the used method the results change, for which the choice becomes fundamental because it influences quality, accuracy and successive possibilities to analyze. In this paper the results obtained in the construction of DTM from multiple methods are compared: relatively to an area in Campania Region cartographic data are considered (quoted points and contour lines) for the realization of three-dimensional models with the software Surfer 8.0, produced by Golden Software. The powerful of the interpolation algorithm in the definition of the quota is evaluated with the statistic analysis of the differences between the calculated quotas and the effective ones in the initial points, as well as applying Cross Validation. The results obtained from the applications of several methods (Triangulation with linear interpolation, IDW, Kriging, Nearest neighbour, Natural neighbour, Radial Basis Function, Polynomial regression, Local Polynomial, Moving Average) are compared.
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Papers by Parente Claudio