Description
Soil erosion is a natural geomorphologic hazard that occurs when erosion agents disintegrate and remove the surface layers of the soil. Soil erosion consists of sheet, splash, rill and gully erosion, among others. Gully erosion tears and degrades the land; causes soil loss, dissect roads and cut off communities, and reduces agricultural productivity. This study used secondary data obtained from satellite imageries and other published literature. From the literature, some dynamic causative factors – Rainfall (R), Normalized Difference Vegetation Index (NDVI), Land Surface Temperature (LST), Lineament Density (LD), Slope Length (LS), Erosion Density (ED), Digital Elevation Model (DEM), Soil Moisture Index (SMI), Drainage Density (DD), Slope Angle (SL_A), and Soil Erodibility (K-Factor) which required satellite imagery data obtained from USGS, were identified and subjected to geostatistical analysis using classification and weighed overlay tools of data analysis in ArcGIS 10.2, SPSS and Microsoft Excel software, to analyze, evaluate, generate models and predict the impact of the causative factors in soil erosion susceptibility level of the study area.