Integration of RUSLE Model, Remote Sensing and GIS Techniques for Assessing Soil Erosion Hazards in Arid Zones

Soil erosion constitutes one of the main environmental and food security threats, derived from loss its productive capacity. With help remote sensing (RS), geographic information systems (GIS), a revised version universal soil equation (RUSLE), this research has mostly focused on measuring potential hazard water conservation ratio (SWCR) in El-Minia region Egypt. Based integration S2A images digital elevation model (DEM), geomorphological units study area were identified. The RUSLE includes parameters that allow for mapping erosion, such as rain erosivity, erodibility, slope length steepness, cover management, practices. outcomes revealed classes annual rates are those “slight erosion”, “low “moderate erosion” “moderately high which represent percentages 29%, 18%, 33% 20%, respectively, total area. rate decreases east to west. factors low vegetation values. This highlights utility combining classic with techniques (RS) (GIS) basis assessing current conditions arid environments and, specifically, application management patterns aimed at increasing organic matter any other actions. findings can be used by policymakers implement measures if development projects proceed areas risk erosion. approach described here is therefore adaptable similar regions.