GIS-remotely sensed data integration has advanced groundwater research. This integration provides a powerful tool for evaluating and prioritizing groundwater supplies. This research uses similar methods to map prospective zones for groundwater availability calculations in the lower Kharun basin. GIS layers were generated for data interpretation, analysis, and satellite picture conversion. The methods created geology, geomorphology, soil, land use, rainfall, lineament, slope, ground water depth, and drainage density layers. The MIF technique, which considers many factors, scores and weights the raster maps of these components to evaluate the data. To find high-potential groundwater locations, a statistical technique is performed on each thematic weighted layer. Four grades, extremely poor, poor, good, and very good, were detected in the groundwater potential zones. The study's groundwater potential zones improve groundwater resource planning and management.