Soil erosion is one of the critical environmental problems and a major threat to many natural res... more Soil erosion is one of the critical environmental problems and a major threat to many natural resources. Stream bank erosion is a kind of water erosion, in which soil is removed by the runoff flowing over the sides of the stream coming from the areas or by undercutting of soil below the water surface from the stream section. Quantitative analysis of soil loss and description of erosion prone areas are essential for conservation programme. The present study focuses on estimation of soil erosion in Gandamanur watershed of Theni District. The soil loss values estimated for Gandamanur watershed ranges from 0 to 219.7 ton/ hec /yr with an average of 2.53 t/ha/yr (metric ton per hectare per year). High soil erosion found in steep slopes and streams. Integrated Remote sensing and GIS technology is applied for prepare various thematic layers of Revised Universal Soil Loss Equation (RUSLE) which is used to estimate the soil erosion at watershed level.
ABSTRACT: Agriculture is an economic activity that is highly dependent upon weather and climate i... more ABSTRACT: Agriculture is an economic activity that is highly dependent upon weather and climate in order to produce the food and fiber necessary to sustain human life. The climate variations have direct and indirect effects on agricultural productivity. If these variations continue on a long term period, an issue of agricultural drought and food scarcity occur making agricultural productivity vulnerable. Especially, the effects of climate variation on agriculture are recurrent meteorological phenomenon affecting several parts of the world, in India too. The main objective of the present study is to make an attempt to understand the biophysical aspects of agricultural vulnerability using the modern methods of remote sensing and GIS. Agricultural vulnerability is determined based on Standardized Precipitation Index (SPI), Normalized Difference Vegetation Index (NDVI), and Normalized Difference Water Index (NDWI). SPI values of rain gauge stations are interpolated to determine the spat...
The assessment of agricultural drought has been performed by different researchers using various ... more The assessment of agricultural drought has been performed by different researchers using various methods. Most of the agricultural drought assessment methods depend on parameters related to drought such as weather condition, soil condition and water availability. The present study is carried out in a drought prone area namely Virudhunagar district, which comes under southern plateau and hilly agro-climatic zone. Here, in the present study, the farmer’s perception on mitigation measures to agricultural drought is carried out using primary data (questionnaire). This research study presents the results of the farmer’s perception on mitigation measures for agricultural drought through questionnaire survey from the farming households. The results of the study bring out the spatial disparity in the perception of mitigation measures of the farmers in the study area, and are analyzed by chi-square test, to determine the statistical relation between the socioeconomic condition and mitigation...
International Journal of Scientific Research in Science and Technology, 2017
Geographical Information System (GIS) has been established as a powerful tool for planning and de... more Geographical Information System (GIS) has been established as a powerful tool for planning and decision making process. The participation of local farmers at different stages of data input in GIS enables the researcher or a planner to produce a holistic and efficient output in the process of participatory planning. Participatory GIS (PGIS) aims to use the spatial knowledge of people at local level. The spatial representation of local knowledge facilitates participatory decision-making processes. The use of local knowledge and perception of farmers can help in creating an outline for developmental plans. It can contribute to the empowerment of farmers in solving developmental problems. The Periyar main canal command area (PMCC), under the administration of Dindigul, Madurai and Sivaganga districts, is selected for the present study to understand and the problem of the farmers. The aim of the study is to understand the irrigation facilities and to analyse the problems in irrigation ma...
The problem associated with the solid waste disposal site in today’s society is complex because o... more The problem associated with the solid waste disposal site in today’s society is complex because of the quantity and diverse nature of the wastes. Rapid urbanization, limitations of funding, emerging limitations of both energy and raw materials and also add to the complexity of any waste management system. The SWM system is one of the key components of the infrastructure for a sustainable community. Therefore, solid waste will have to be managed by technologies and methods that support sustainable communities and environments. In the present study it was tried to find out the potential waste disposal sites using Remote Sensing and GIS techniques for Karaikudi Municipality. Selection of suitable sites for waste disposal is based on several factors. GIS technology using Weighted overlay analysis help to select the possible suitable solid waste disposal sites and are categorized in to three category. There are Good, Moderate and Poor. Among these categories, the sites which are in betwe...
International Journal of Advanced Remote Sensing and GIS, May 11, 2018
Land and water are the two main physical parameters of the earth. The earth contains 78% of water... more Land and water are the two main physical parameters of the earth. The earth contains 78% of water and 21% of land and remaining 1% with gases. Even though, water is in large volume, land is more utilised. So, the proper utilization of land is necessary for sustainable development and growth. The land utilisation is defined as the way by which each piece or part of the earth is used by the human for development. The production in agriculture increases with proper utilization of the land. The wider fluctuations in agricultural production are experienced due to improper utilisation of land. Therefore, for high agricultural production, a systematic and scientific plan of land utilisation is essential. Climate is one of the main parameter determining the regional and global pattern of land utilization. The utilisation of land depends on the climatic variables such as temperature and rainfall. The study of the trend and temporal dynamics in the utilization of land with respect to climatic variables is an emerging problem and it is the need of the hour to determine the changes in the earth. In this study, attention is focused to analyse the changes in the utilization of land with respect to climatic variables for a particular time period. The climatic variables such as temperature and rainfall are analysed for 20 years (viz. 1990 - 2010) using the trend analysis, whereas land utilisation is analysed for the recent decade (viz. 2000 - 2010). The analysis is done at block level for the 40 blocks of the southern three districts of Tamil Nadu, the area lying in varying agro-climatic conditions. The trend analysis of climatic variables shows variation for each block viz. nearly 14 blocks shows positive trend and 26 blocks shows negative trend. The utilisation of the land in the study area is classified based on nine-fold classification, and the temporal changes are identified. The maps are generated in Arc GIS for understanding the spatial distribution. The data collected from the statistical department pertaining to the land utilisation is compared with the changes in climatic variables. The results of the present study emphasize the spatial and temporal change in land utilization using trend analysis, and the usefulness of relating the climatic parameters with land use / land cover change. Keywords Climate Change; Land Utilisation; Trend Analysis; Rainfall; Temperature DOI: https://doi.org/10.23953/cloud.ijarsg.353 Google ScholarCrossrefScilit (MDPI)ResearchGateMicrosoft Academic Mendeley (ELSEVIER)Academia
Agriculture is an economic activity that is highly dependent upon weather and climate in order to... more Agriculture is an economic activity that is highly dependent upon weather and climate in order to produce the food and fiber necessary to sustain human life. The climate variations have direct and indirect effects on agricultural productivity. If these variations continue on a long term period, an issue of agricultural drought and food scarcity occur making agricultural productivity vulnerable. Especially, the effects of climate variation on agriculture are recurrent meteorological phenomenon affecting several parts of the world, in India too. The main objective of the present study is to make an attempt to understand the biophysical aspects of agricultural vulnerability using the modern methods of remote sensing and GIS. Agricultural vulnerability is determined based on Standardized Precipitation Index (SPI), Normalized Difference Vegetation Index (NDVI), and Normalized Difference Water Index (NDWI). SPI values of rain gauge stations are interpolated to determine the spatial patter...
International Journal of Remote Sensing Applications, 2016
The rate of crime incidents is increasing in developing countries mainly due to the unequal distr... more The rate of crime incidents is increasing in developing countries mainly due to the unequal distribution of wealth and societal status. The present study attempts to identify and explore the rate and spatial variation of crime in Thiruvananthapuram city for a period from 2010 to 2014. The improved computer based technologies like GIS and availability of Geographic data make it possible for law and enforcement agencies to create analytical maps and various analysis to identify the crime hotspot area .The hotspot analysis in Geographic Information System is helpful for the identification of crime hotspot through spatial auto correlation, spatial analysis and interpolation. The Moran's I test statistic of spatial auto correlation has been done prior to Getis-Ord Gi* hotspot analysis to find out the clustering pattern as well as the outliers in the data. The crime hotspot analysis uses vectors to identify the locations of statistically significant crime hotspots and cold spots and IDW interpolation method is used for better visualization. These methods are applied on the crime data of Thiruvananthapuram city of Kerala state to find the hotspots for crime incidents like Murder, Robbery, Snatching and Theft.
International Journal of Remote Sensing Applications, 2016
The rate of crime incidents is increasing in developing countries mainly due to the unequal distr... more The rate of crime incidents is increasing in developing countries mainly due to the unequal distribution of wealth and societal status. The present study attempts to identify and explore the rate and spatial variation of crime in Thiruvananthapuram city for a period from 2010 to 2014. The improved computer based technologies like GIS and availability of Geographic data make it possible for law and enforcement agencies to create analytical maps and various analysis to identify the crime hotspot area .The hotspot analysis in Geographic Information System is helpful for the identification of crime hotspot through spatial auto correlation, spatial analysis and interpolation. The Moran's I test statistic of spatial auto correlation has been done prior to Getis-Ord Gi* hotspot analysis to find out the clustering pattern as well as the outliers in the data. The crime hotspot analysis uses vectors to identify the locations of statistically significant crime hotspots and cold spots and IDW interpolation method is used for better visualization. These methods are applied on the crime data of Thiruvananthapuram city of Kerala state to find the hotspots for crime incidents like Murder, Robbery, Snatching and Theft.
Journal of The Indian Society of Remote Sensing, 2009
Remotely sensed data can provide useful information in understanding the distribution of groundwa... more Remotely sensed data can provide useful information in understanding the distribution of groundwater, an important source of water supply throughout the world. In the present study, the modern geomatic technologies, namely remote sensing and GIS were used in the identification of groundwater potential zones in the Kanyakumari and Nambiyar basins of Tamil Nadu in India. The multivariate statistical technique was used to find out the relationship between rainfall and groundwater resource characteristics. It has been found out that groundwater not only depends upon rainfall, but various other factors also influence its occurrence. Eight such parameters were considered and multi criterion analysis has been carried out in order to find out the potential zones. Accordingly, it had been concluded that the Kanyakumari river basin has more ground water potential, whereas the Nambiyar basin has less potential. Thus surface investigation of groundwater has proved to be easier, time consistent and cheaper using the geomatic technologies.
Soil erosion is one of the critical environmental problems and a major threat to many natural res... more Soil erosion is one of the critical environmental problems and a major threat to many natural resources. Stream bank erosion is a kind of water erosion, in which soil is removed by the runoff flowing over the sides of the stream coming from the areas or by undercutting of soil below the water surface from the stream section. Quantitative analysis of soil loss and description of erosion prone areas are essential for conservation programme. The present study focuses on estimation of soil erosion in Gandamanur watershed of Theni District. The soil loss values estimated for Gandamanur watershed ranges from 0 to 219.7 ton/ hec /yr with an average of 2.53 t/ha/yr (metric ton per hectare per year). High soil erosion found in steep slopes and streams. Integrated Remote sensing and GIS technology is applied for prepare various thematic layers of Revised Universal Soil Loss Equation (RUSLE) which is used to estimate the soil erosion at watershed level.
ABSTRACT: Agriculture is an economic activity that is highly dependent upon weather and climate i... more ABSTRACT: Agriculture is an economic activity that is highly dependent upon weather and climate in order to produce the food and fiber necessary to sustain human life. The climate variations have direct and indirect effects on agricultural productivity. If these variations continue on a long term period, an issue of agricultural drought and food scarcity occur making agricultural productivity vulnerable. Especially, the effects of climate variation on agriculture are recurrent meteorological phenomenon affecting several parts of the world, in India too. The main objective of the present study is to make an attempt to understand the biophysical aspects of agricultural vulnerability using the modern methods of remote sensing and GIS. Agricultural vulnerability is determined based on Standardized Precipitation Index (SPI), Normalized Difference Vegetation Index (NDVI), and Normalized Difference Water Index (NDWI). SPI values of rain gauge stations are interpolated to determine the spat...
The assessment of agricultural drought has been performed by different researchers using various ... more The assessment of agricultural drought has been performed by different researchers using various methods. Most of the agricultural drought assessment methods depend on parameters related to drought such as weather condition, soil condition and water availability. The present study is carried out in a drought prone area namely Virudhunagar district, which comes under southern plateau and hilly agro-climatic zone. Here, in the present study, the farmer’s perception on mitigation measures to agricultural drought is carried out using primary data (questionnaire). This research study presents the results of the farmer’s perception on mitigation measures for agricultural drought through questionnaire survey from the farming households. The results of the study bring out the spatial disparity in the perception of mitigation measures of the farmers in the study area, and are analyzed by chi-square test, to determine the statistical relation between the socioeconomic condition and mitigation...
International Journal of Scientific Research in Science and Technology, 2017
Geographical Information System (GIS) has been established as a powerful tool for planning and de... more Geographical Information System (GIS) has been established as a powerful tool for planning and decision making process. The participation of local farmers at different stages of data input in GIS enables the researcher or a planner to produce a holistic and efficient output in the process of participatory planning. Participatory GIS (PGIS) aims to use the spatial knowledge of people at local level. The spatial representation of local knowledge facilitates participatory decision-making processes. The use of local knowledge and perception of farmers can help in creating an outline for developmental plans. It can contribute to the empowerment of farmers in solving developmental problems. The Periyar main canal command area (PMCC), under the administration of Dindigul, Madurai and Sivaganga districts, is selected for the present study to understand and the problem of the farmers. The aim of the study is to understand the irrigation facilities and to analyse the problems in irrigation ma...
The problem associated with the solid waste disposal site in today’s society is complex because o... more The problem associated with the solid waste disposal site in today’s society is complex because of the quantity and diverse nature of the wastes. Rapid urbanization, limitations of funding, emerging limitations of both energy and raw materials and also add to the complexity of any waste management system. The SWM system is one of the key components of the infrastructure for a sustainable community. Therefore, solid waste will have to be managed by technologies and methods that support sustainable communities and environments. In the present study it was tried to find out the potential waste disposal sites using Remote Sensing and GIS techniques for Karaikudi Municipality. Selection of suitable sites for waste disposal is based on several factors. GIS technology using Weighted overlay analysis help to select the possible suitable solid waste disposal sites and are categorized in to three category. There are Good, Moderate and Poor. Among these categories, the sites which are in betwe...
International Journal of Advanced Remote Sensing and GIS, May 11, 2018
Land and water are the two main physical parameters of the earth. The earth contains 78% of water... more Land and water are the two main physical parameters of the earth. The earth contains 78% of water and 21% of land and remaining 1% with gases. Even though, water is in large volume, land is more utilised. So, the proper utilization of land is necessary for sustainable development and growth. The land utilisation is defined as the way by which each piece or part of the earth is used by the human for development. The production in agriculture increases with proper utilization of the land. The wider fluctuations in agricultural production are experienced due to improper utilisation of land. Therefore, for high agricultural production, a systematic and scientific plan of land utilisation is essential. Climate is one of the main parameter determining the regional and global pattern of land utilization. The utilisation of land depends on the climatic variables such as temperature and rainfall. The study of the trend and temporal dynamics in the utilization of land with respect to climatic variables is an emerging problem and it is the need of the hour to determine the changes in the earth. In this study, attention is focused to analyse the changes in the utilization of land with respect to climatic variables for a particular time period. The climatic variables such as temperature and rainfall are analysed for 20 years (viz. 1990 - 2010) using the trend analysis, whereas land utilisation is analysed for the recent decade (viz. 2000 - 2010). The analysis is done at block level for the 40 blocks of the southern three districts of Tamil Nadu, the area lying in varying agro-climatic conditions. The trend analysis of climatic variables shows variation for each block viz. nearly 14 blocks shows positive trend and 26 blocks shows negative trend. The utilisation of the land in the study area is classified based on nine-fold classification, and the temporal changes are identified. The maps are generated in Arc GIS for understanding the spatial distribution. The data collected from the statistical department pertaining to the land utilisation is compared with the changes in climatic variables. The results of the present study emphasize the spatial and temporal change in land utilization using trend analysis, and the usefulness of relating the climatic parameters with land use / land cover change. Keywords Climate Change; Land Utilisation; Trend Analysis; Rainfall; Temperature DOI: https://doi.org/10.23953/cloud.ijarsg.353 Google ScholarCrossrefScilit (MDPI)ResearchGateMicrosoft Academic Mendeley (ELSEVIER)Academia
Agriculture is an economic activity that is highly dependent upon weather and climate in order to... more Agriculture is an economic activity that is highly dependent upon weather and climate in order to produce the food and fiber necessary to sustain human life. The climate variations have direct and indirect effects on agricultural productivity. If these variations continue on a long term period, an issue of agricultural drought and food scarcity occur making agricultural productivity vulnerable. Especially, the effects of climate variation on agriculture are recurrent meteorological phenomenon affecting several parts of the world, in India too. The main objective of the present study is to make an attempt to understand the biophysical aspects of agricultural vulnerability using the modern methods of remote sensing and GIS. Agricultural vulnerability is determined based on Standardized Precipitation Index (SPI), Normalized Difference Vegetation Index (NDVI), and Normalized Difference Water Index (NDWI). SPI values of rain gauge stations are interpolated to determine the spatial patter...
International Journal of Remote Sensing Applications, 2016
The rate of crime incidents is increasing in developing countries mainly due to the unequal distr... more The rate of crime incidents is increasing in developing countries mainly due to the unequal distribution of wealth and societal status. The present study attempts to identify and explore the rate and spatial variation of crime in Thiruvananthapuram city for a period from 2010 to 2014. The improved computer based technologies like GIS and availability of Geographic data make it possible for law and enforcement agencies to create analytical maps and various analysis to identify the crime hotspot area .The hotspot analysis in Geographic Information System is helpful for the identification of crime hotspot through spatial auto correlation, spatial analysis and interpolation. The Moran's I test statistic of spatial auto correlation has been done prior to Getis-Ord Gi* hotspot analysis to find out the clustering pattern as well as the outliers in the data. The crime hotspot analysis uses vectors to identify the locations of statistically significant crime hotspots and cold spots and IDW interpolation method is used for better visualization. These methods are applied on the crime data of Thiruvananthapuram city of Kerala state to find the hotspots for crime incidents like Murder, Robbery, Snatching and Theft.
International Journal of Remote Sensing Applications, 2016
The rate of crime incidents is increasing in developing countries mainly due to the unequal distr... more The rate of crime incidents is increasing in developing countries mainly due to the unequal distribution of wealth and societal status. The present study attempts to identify and explore the rate and spatial variation of crime in Thiruvananthapuram city for a period from 2010 to 2014. The improved computer based technologies like GIS and availability of Geographic data make it possible for law and enforcement agencies to create analytical maps and various analysis to identify the crime hotspot area .The hotspot analysis in Geographic Information System is helpful for the identification of crime hotspot through spatial auto correlation, spatial analysis and interpolation. The Moran's I test statistic of spatial auto correlation has been done prior to Getis-Ord Gi* hotspot analysis to find out the clustering pattern as well as the outliers in the data. The crime hotspot analysis uses vectors to identify the locations of statistically significant crime hotspots and cold spots and IDW interpolation method is used for better visualization. These methods are applied on the crime data of Thiruvananthapuram city of Kerala state to find the hotspots for crime incidents like Murder, Robbery, Snatching and Theft.
Journal of The Indian Society of Remote Sensing, 2009
Remotely sensed data can provide useful information in understanding the distribution of groundwa... more Remotely sensed data can provide useful information in understanding the distribution of groundwater, an important source of water supply throughout the world. In the present study, the modern geomatic technologies, namely remote sensing and GIS were used in the identification of groundwater potential zones in the Kanyakumari and Nambiyar basins of Tamil Nadu in India. The multivariate statistical technique was used to find out the relationship between rainfall and groundwater resource characteristics. It has been found out that groundwater not only depends upon rainfall, but various other factors also influence its occurrence. Eight such parameters were considered and multi criterion analysis has been carried out in order to find out the potential zones. Accordingly, it had been concluded that the Kanyakumari river basin has more ground water potential, whereas the Nambiyar basin has less potential. Thus surface investigation of groundwater has proved to be easier, time consistent and cheaper using the geomatic technologies.
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