A spatial technique is essential for proper utilization and soil preservation management often requires estimates of soil loss at a provincial scale. With the advent of powerful and high-speed personal computers, efficient techniques for soil loss estimation have evolved, of which geoinformatics technology are of great significance. A geospatial analysis was carried out to know the soil loss calculations in the Krishna River in part of Raichur district, Karnataka. An analytical representation such as Universal Soil Loss Equation (USLE) and its following Revised Universal Soil Loss Equation (RUSLE) are useful tools to produce the quantitative calculate about the essential for controlling management approach. Spatial data layers including, rainfall erosivity (R), soil erodability (K), slope length and steepness (LS), cover management (C) and conservation practice (P) factors were computed to estimate the average annual soil loss of the study area. The average estimated soil loss rate for the study area was found as 18.61 t.ha-1.yr-1. Further, the estimation of soil erosion rate was classified into four severity classes are namely as slight, moderate, severe and extremely severe. About, 70% (5870.20 km2) and 14.33% (1201.71 km2) of the study area falls under slight and moderate respectively potential soil loss in the study area. Approximately 983.68 km2 area accounting for 11.73% of the study area falls under severe and extremely severe potential soil loss region cover an area of 330.41 km2 accounting for 3.94% of the total study area. The based on outcome of the results, finally it is concluded that the spatial technology are very efficient and useful for the soil loss estimation. Keywords: Erosion; Geology; Geospatial; Slope; Soil;