Showing papers by "Rabin Chakrabortty published in 2018"
TL;DR: The analytical hierarchical process (AHP) method has been used to find out the weights of different themes and their associated sub-themes and finally overlay analysis has been done in the geospatial environment.
Abstract: Water is the most significant natural resources stirring both surface water and groundwater for human civilization. This precious resource is occasionally scarce, sometimes plentiful but not uniformly concentrated, both in space and time. Groundwater is most valuable and dynamic resource that is not equally distributed. The dimensions of groundwater in an area are determined by numerous factors such as topography, lithology, geological structure, depth of weathering, slope, drainage pattern, land use and land cover (LULC), rainfall pattern. Delineation of groundwater potentiality zone is an indispensable part for the management of water resources numerous themes are included according to their relative magnitude for the potentiality mapping, these are—geology, slope gradient, LULC, soil texture, rainfall, lineament density, drainage density and groundwater fluctuation etc. The analytical hierarchical process (AHP) method has been used to find out the weights of different themes and their associated sub-themes and finally overlay analysis has been done in the geospatial environment. Groundwater potential zone is categorized as ‘very poor’ (18.22%), ‘poor’ (28.39%), ‘moderate’ (31.98%), ‘good’ (13.24%) and ‘excellent’ (8.17%). The groundwater potential map has been validated with Dug well data for accounting the implication of this model.
69 citations
TL;DR: In this article, a weighted overlay analysis method has been adopted for investigating forest canopy density of Sali river basin, Bankura district, West Bengal, India using remote sensing and geographic information system tools, which has been observed that 7.48% of the area is at very low density, 12.63% of low density and 24.84% of medium density, 23.92% of high density and 31.13% of very high density.
Abstract: Investigation of forest canopy density has become an important tool for proper management of natural resources. Vegetation cover density can identify the exact forest gaps within a particular area which in turn will provide the appropriate management strategies for future. Forest canopy density has become an essential tool for identifying the exact areas where the afforestation or reforestation programmes needs to be implemented. The aim and objective of this article is to show up the existing density of forest cover using remote sensing and geographic information system tools. Weighted overlay analysis method has been adopted for investigating forest canopy density of Sali river basin, Bankura district, West Bengal. Several indices likewise normalized difference vegetation index, bareness index, shadow index and perpendicular vegetation index etc. have been used for this study. Higher the weight was assigned for greater concentration of vegetation and lower the weight was assigned for lesser concentration of vegetation. Southern part of the region has very high density of forest coverage in comparison with the northern part of the region. It has been observed that 7.48% of the area is at very low density, 12.63% of low density, 24.84% of medium density, 23.92% of high density and 31.13% of very high forest canopy density.
37 citations