Deciphering groundwater potential zones in hard rock terrain using geospatial technology
IA Dar, K Sankar, MA Dar - Environmental monitoring and assessment, 2011 - Springer
IA Dar, K Sankar, MA Dar
Environmental monitoring and assessment, 2011•SpringerRemote sensing and geographical information system (GIS) has become one of the leading
tools in the field of groundwater research, which helps in assessing, monitoring, and
conserving groundwater resources. This paper mainly deals with the integrated approach of
remote sensing and GIS to delineate groundwater potential zones in hard rock terrain.
Digitized vector maps pertaining to chosen parameters, viz. geomorphology, geology, land
use/land cover, lineament, relief, and drainage, were converted to raster data using 23 m× …
tools in the field of groundwater research, which helps in assessing, monitoring, and
conserving groundwater resources. This paper mainly deals with the integrated approach of
remote sensing and GIS to delineate groundwater potential zones in hard rock terrain.
Digitized vector maps pertaining to chosen parameters, viz. geomorphology, geology, land
use/land cover, lineament, relief, and drainage, were converted to raster data using 23 m× …
Abstract
Remote sensing and geographical information system (GIS) has become one of the leading tools in the field of groundwater research, which helps in assessing, monitoring, and conserving groundwater resources. This paper mainly deals with the integrated approach of remote sensing and GIS to delineate groundwater potential zones in hard rock terrain. Digitized vector maps pertaining to chosen parameters, viz. geomorphology, geology, land use/land cover, lineament, relief, and drainage, were converted to raster data using 23 m × 23 m grid cell size. Moreover, curvature of the study area was also considered while manipulating the spatial data. The raster maps of these parameters were assigned to their respective theme weight and class weights. The individual theme weight was multiplied by its respective class weight and then all the raster thematic layers were aggregated in a linear combination equation in Arc Map GIS Raster Calculator module. Moreover, the weighted layers were statistically modeled to get the areal extent of groundwater prospects with respect to each thematic layer. The final result depicts the favorable prospective zones in the study area and can be helpful in better planning and management of groundwater resources especially in hard rock terrains.
Springer
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