Vol. 9, Issue 2, Part G (2025)

This study focuses on application of high-resolution remote sensing data for detailed landform and land use mapping in the Boldagaon watershed, located in Hingoli district, Maharashtra, India, covering an area of 11,092.85 hectares. Advanced geospatial techniques were utilized to analyze landforms and land use patterns for effective watershed management, sustainable land use planning, and resource conservation. Landform mapping was conducted using the ALOS PALSAR Digital Elevation Model (DEM) with a resolution of 12.5 meters, along with Resourcesat LISS-IV data and Survey of India (SOI) toposheets. Elevation, contour, hill-shade, slope, and drainage network maps derived from the DEM served as critical inputs for landform identification. Six landforms were delineated: plateau, escarpment, pediments, isolated mounds, narrow valley, and pediplains. Resourcesat LISS-IV data having 5.8 m resolution was also employed to map land use, identifying five categories: arable land, forest, wasteland, habitation, and waterbodies. The findings underscore the efficacy of high-resolution remote sensing in enhancing spatial analysis for resource planning in the Boldagaon watershed.