Integrating GIS and remote sensing for identification of groundwater potential zones in the hilly terrain of Pavagarh, Gujarat, India
Manika Gupta, Prashant K. Srivastava
Abstract
Manika Gupta, Prashant K. Srivastava
Abstract
In this work remote sensing, geographic information systems (GIS) and fieldwork techniques are combined in an attempt to identify groundwater potential zones in the hilly terrain of the Pavagarh region. The various thematic maps prepared for delineating groundwater potential zones are lineament density, drainage density, digital elevation model (DEM), slope map and land use/land cover (LULC). A multi-criteria evaluation technique (MCE) is used to investigate a number of choice possibilities and evaluate suitability according to the associated weight of each factor. A map is obtained which shows the classification of the area into good, moderate and low groundwater potential zones.
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In this work remote sensing, geographic information systems (GIS) and fieldwork techniques are combined in an attempt to identify groundwater potential zones in the hilly terrain of the Pavagarh region. The various thematic maps prepared for delineating groundwater potential zones are lineament density, drainage density, digital elevation model (DEM), slope map and land use/land cover (LULC). A multi-criteria evaluation technique (MCE) is used to investigate a number of choice possibilities and evaluate suitability according to the associated weight of each factor. A map is obtained which shows the classification of the area into good, moderate and low groundwater potential zones.
Key concepts: Drainage density, Lineament, Thematic map, Groundwater, Digital elevation model, Land cover, Geographic information system, Terrain