Predicting sheet and rill erosion in agricultural catchments is crucial for reservoir conservation and land management. The Revised Universal Soil Loss Equation (RUSLE) estimates average annual soil loss (A, in metric tons per hectare per year) as a product of five factor matrices: $A = R \cdot K \cdot LS \cdot C \cdot P$ Where: $R:$ Rainfall-runoff erosivity factor based on storm kinetic energy $(EI_{30}).$ $K:$ Soil erodibility factor reflecting soil texture and organic matter content. $LS:$ Topographic factor combining slope length $(L)$ and steepness $(S).$ $C:$ Cover-management factor evaluating crop canopy and residue cover. $P:$ Conservation support practice factor (e.g., contouring, terracing). High soil degradation rates in hilly agricultural regions like the Western Ghats and the North-Eastern Himalayan states accelerate siltation in downstream reservoirs. Indian soil conservation agencies now pair the RUSLE model with high-resolution satellite imagery (such as R...