Soil is the earth’s easily offended and ultrasensitive skin that anchors all existence on. Earth disintegration build firstly when the dirt is left release to strong winds, flowing water, and heavy rains. In a few occasion due to human act soil degraded. Earth degradation brings down the volume and the standard of earth environs and agricultural land. In this study earth degradation of the Almora, is being identified utilizing the RUSLE model. After identifying, some of the soil degradation areas using Google earth pro and satellite images; we make an inventory map to train the model. As an input, we will provide the 5 parameters i.e., Crop management factor Slope distance and Steepness Factors (LS), Rainfall erosivity factor(R), Soil erodibility (K-factor), and Soil Conservation Practice Factor (P). These are some important factors/classes in soil. Curve map, Topographic wetness index, and Stream power index, are created using Digital Elevation Model (DEM), created ground database. Here in this study for recognizing soil erosion we are using ArcGIS 10.8 software by which we are generating inventory maps of features and then applying the RUSLE soil loss equation.
Key words: RUSLE model, LS factor, R factor, P factor, K factor