| Summary: | Assessing potential sources related to water scarcity management faces difficulties in terms of time and expenses, particularly in sustaining groundwater systems and efficient water distribution. The purpose of this study is to assess the capabilities of remote sensing images in extracting soil moisture content for groundwater potential (GWP) identification using Sentinel 1A and Landsat 8 images. Ten (10) conditional parameters (slope, curvature, drainage density, lineament density, elevation, geology map, rainfall, land used land cover (LULC), soil moisture, and geomorphology) and twenty-two (22) tube wells have been used to identify the GWP area. In ArcGIS software, the Analytical Hierarchy Process (AHP) approach has been utilised to assign the weightage of thematic layer parameters and overlay weight in spatial analysis. Two (2) GWP areas have been generated and are assessed utilising existing tube well distribution. An agreement between expected and actual for both GWP maps is obtained with an accuracy of 85.71%. The findings of regression of groundwater validation for Sentinel 1A and Landsat 8 show the coefficient of association of (r = 0.983) and (r = 0.372), respectively. The study’s findings aid planners, politicians, and local governments by providing first-hand knowledge for future planning initiatives to guarantee the sustainable use of groundwater resources. © UMT Press
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