Sujan Satpathy | Vidyasagar University (original) (raw)

Papers by Sujan Satpathy

Research paper thumbnail of Land suitability assessment for potential surface irrigation of river catchment for irrigation development in Kansai watershed, Purulia, West Bengal, India

Sustainable Water Resources Management, 2017

Assessing available land resources for irrigation is important for planning their use. This study... more Assessing available land resources for irrigation is important for planning their use. This study was initiated with the objective of assessing the land resources potential of river catchments of Kangsabati in Purulia district for irrigation development and generating geo-referenced map of these resources using geographic information system. To identify potential irrigable land, irrigation suitability factors such as soil type, slope, land cover/use, and distance from water supply were taken into account. The irrigation suability analysis of these factors indicates that 4.15, 31.16, and 64.69% of soil are highly, moderately, and marginally suitable for surface irrigation, respectively. In addition, 51.82% of slope in the study area is highly suitable for surface irrigation system. In terms of land cover/use, 68.62% of land cover/use is highly suitable, whereas 31.38% restricted from irrigation development. Overall, the weighted overlay analysis of these factors gave the 34020.1 ha land which is highly suitable for potential surface irrigation of the river catchment. In conclusion, irrigation potential from this figure can be increased using Sprinkler or Drip irrigation system. GIS and Remote Sensing offer a convenient and powerful platform to integrate spatially complex land attributes for performing land suitability analysis. Integration of GIS and weighted overlay approach for land suitability analysis proves to be a useful methodology for further research in the entire state of West Bengal, India.

Research paper thumbnail of A Comparative Study of Different Interpolation Methods for Rainfall Distribution Mapping Using Remote Sensing and Gis Technologies in Purulia District

The eastern plateau of India mainly is characterized by harsh climatic condition with poor water ... more The eastern plateau of India mainly is characterized by harsh climatic condition with poor water condition and agricultural under development. Purulia, the study area is one of the parts of this plateau. Therefore undulating topography, soil infertility, water scarcity, soil erosion, deforestation and concentrated rainfall distribution may need the proper management for agricultural development. In this area most of the people are tribal communities, agriculture is the main livelihood of those people. The agricultural system of this plateau is mainly depending on rainfall. But now the erratic distribution of rainfall becomes a major cause of crop failure. Due to this a brief knowledge about rainfall distribution is needed to achieve sustainability in agricultural production. On this view it is aim to get an idea about the rainfall distribution pattern in the study area by using spatial interpolation technique to estimate the values of unknown points with the help of known sample points. Therefore the different interpolation techniques like, Inverse distance weighted (IDW) interpolation, Natural Neighbor Interpolation Technique, Kriging Interpolation Technique and GIS techniques are used to fulfill the objectives. Here also shows the relationship between elevation and seasonal rainfall distribution and preparing different rainfall distribution maps. Finally the spatial analysis of rainfall distribution on Purulia district has been reflected by the interpolated weekly maps (week 22 to week 30) and the scatter diagram which represented the elevation wise rainfall distribution over the area. In this study, RMSE is detected by the use of cross-validation method. As the absolute error test is the primary procedure of RMS error test, hence in this case RMSE measurement is preferred for the comparative studies of interpolation technique. Finally it can be conclude that RMSE of Natural Neighbor technique as the most preferable technique for spatial interpolation measurement of rainfall data.

Research paper thumbnail of An application of Remote Sensing and GIS to Analyze Urban Expansion and Land use Land cover change of Midnapore Municipality, WB, India

The rapid phase of urbanization and infrastructure development in Bhutan has been observed recent... more The rapid phase of urbanization and infrastructure development in Bhutan has been observed recently. This leads to causing of decrease in vegetation cover and growth in urban sprawl undergoing rapid land use/land cover change (LULC). This paper attempts to analyze the temporal and spatial patterns of LULC change and detects the urbanization processes of Phuentsholing city over a period of three decades (1996-2016) using multi temporal remotely sensed data. For this, the satellite images of Landsat 5, 7 and 8 were used to assess the changes of vegetation cover, built form and water bodies. This study has found that urban built area was increased from 6.7% in 1996 to 17% in 2016 and similarly vegetation cover was declined from 48.4% in 1996 to 49.9% in 2016. This urban expansion causes loss of vegetation cover that hinders the country's regulation of retaining 60% forest according to The Constitution of the Kingdom of Bhutan. These finding can provide city planners and decision makers with information about the past and current spatial dynamics of LULC change to investigate, plan and monitor the urban development and management of Phuentsholing municipality.

Research paper thumbnail of Land suitability assessment for potential surface irrigation of river catchment for irrigation development in Kansai watershed, Purulia, West Bengal, India

Sustainable Water Resources Management, 2017

Assessing available land resources for irrigation is important for planning their use. This study... more Assessing available land resources for irrigation is important for planning their use. This study was initiated with the objective of assessing the land resources potential of river catchments of Kangsabati in Purulia district for irrigation development and generating geo-referenced map of these resources using geographic information system. To identify potential irrigable land, irrigation suitability factors such as soil type, slope, land cover/use, and distance from water supply were taken into account. The irrigation suability analysis of these factors indicates that 4.15, 31.16, and 64.69% of soil are highly, moderately, and marginally suitable for surface irrigation, respectively. In addition, 51.82% of slope in the study area is highly suitable for surface irrigation system. In terms of land cover/use, 68.62% of land cover/use is highly suitable, whereas 31.38% restricted from irrigation development. Overall, the weighted overlay analysis of these factors gave the 34020.1 ha land which is highly suitable for potential surface irrigation of the river catchment. In conclusion, irrigation potential from this figure can be increased using Sprinkler or Drip irrigation system. GIS and Remote Sensing offer a convenient and powerful platform to integrate spatially complex land attributes for performing land suitability analysis. Integration of GIS and weighted overlay approach for land suitability analysis proves to be a useful methodology for further research in the entire state of West Bengal, India.

Research paper thumbnail of A Comparative Study of Different Interpolation Methods for Rainfall Distribution Mapping Using Remote Sensing and Gis Technologies in Purulia District

The eastern plateau of India mainly is characterized by harsh climatic condition with poor water ... more The eastern plateau of India mainly is characterized by harsh climatic condition with poor water condition and agricultural under development. Purulia, the study area is one of the parts of this plateau. Therefore undulating topography, soil infertility, water scarcity, soil erosion, deforestation and concentrated rainfall distribution may need the proper management for agricultural development. In this area most of the people are tribal communities, agriculture is the main livelihood of those people. The agricultural system of this plateau is mainly depending on rainfall. But now the erratic distribution of rainfall becomes a major cause of crop failure. Due to this a brief knowledge about rainfall distribution is needed to achieve sustainability in agricultural production. On this view it is aim to get an idea about the rainfall distribution pattern in the study area by using spatial interpolation technique to estimate the values of unknown points with the help of known sample points. Therefore the different interpolation techniques like, Inverse distance weighted (IDW) interpolation, Natural Neighbor Interpolation Technique, Kriging Interpolation Technique and GIS techniques are used to fulfill the objectives. Here also shows the relationship between elevation and seasonal rainfall distribution and preparing different rainfall distribution maps. Finally the spatial analysis of rainfall distribution on Purulia district has been reflected by the interpolated weekly maps (week 22 to week 30) and the scatter diagram which represented the elevation wise rainfall distribution over the area. In this study, RMSE is detected by the use of cross-validation method. As the absolute error test is the primary procedure of RMS error test, hence in this case RMSE measurement is preferred for the comparative studies of interpolation technique. Finally it can be conclude that RMSE of Natural Neighbor technique as the most preferable technique for spatial interpolation measurement of rainfall data.

Research paper thumbnail of An application of Remote Sensing and GIS to Analyze Urban Expansion and Land use Land cover change of Midnapore Municipality, WB, India

The rapid phase of urbanization and infrastructure development in Bhutan has been observed recent... more The rapid phase of urbanization and infrastructure development in Bhutan has been observed recently. This leads to causing of decrease in vegetation cover and growth in urban sprawl undergoing rapid land use/land cover change (LULC). This paper attempts to analyze the temporal and spatial patterns of LULC change and detects the urbanization processes of Phuentsholing city over a period of three decades (1996-2016) using multi temporal remotely sensed data. For this, the satellite images of Landsat 5, 7 and 8 were used to assess the changes of vegetation cover, built form and water bodies. This study has found that urban built area was increased from 6.7% in 1996 to 17% in 2016 and similarly vegetation cover was declined from 48.4% in 1996 to 49.9% in 2016. This urban expansion causes loss of vegetation cover that hinders the country's regulation of retaining 60% forest according to The Constitution of the Kingdom of Bhutan. These finding can provide city planners and decision makers with information about the past and current spatial dynamics of LULC change to investigate, plan and monitor the urban development and management of Phuentsholing municipality.