The district Jhansi covers a 5024 sqkm area under three tehsils and eight blocks of Bundelkhand massif on a survey ofIndia toposheet 54K and 54O.This research investigates the effectiveness of using Indian Remote Sensing (IRS) data with Geographic Information Systems (GIS) and remote sensing techniques for geomorphologyclassification based on slope and elevation in the Jhansi district, India. The study utilizes freely available Cartosat-2 Panchromatic and Cartosat-1 Multispect1ral imagery processed in ERDAS and ArcMap software. Digital Elevation Models (DEMs) extracted from Cartosat-1 data are employed to calculate slope and elevation attributes. Slope classes are established, and geomorphologyiscategorized based on slope and elevation combinations. The research assesses the accuracy of the geomorphologyclassification through ground truth verification and evaluates the potential applications of the results in diverse fields like disaster risk management, resource exploration, and agricultural planning.Thefindings aim to contribute to a deeper understanding of Jhansi's geomorphology and serve as a valuable resource for various applications, including land-use planning, environmental management, and disaster risk assessment