This document discusses using GIS to evaluate and map soil erosion. It describes several GIS-based models used to estimate soil loss, including the Distributed soil erosion model, Modified USLE, Gully Surface Growth, and Gully Head Advance models. It also discusses how the RUSLE model has been integrated with GIS for soil loss estimation by using input raster files for rainfall erosivity, soil erodibility, topographic factors, crop management factors, and practice factors. Case studies are presented on evaluating soil erosion in Taita Hills, Kenya and mapping erosion risk in dam watersheds in Turkey, with findings that erosion risk decreased over time in some areas due to increased vegetation cover or conservation measures.