Application of the Gavrilovic model to estimate the risks of soil erosion in Al-Salman district using remote sensing and GIS techniques

Abstract

The study took the techniques of remote sensing (RS) and geographic information systems (GIS) as a basis for the cartographic representation of the risks of soil erosion within the Al-Salman district and then analyzed it geomorphologically. )31.20'.0''-29.20'.0'' (north, and (45.30'.0''-44.0'.0'') east longitudes with an area of (17463.84 km2). The study used six satellite views from the data of the American satellite (Landsat 8), and the Dem (Digital Elevation Model) files were relied on with an accuracy of (30 m), and it relied on the geographic information systems program (Arc GIS V.10.3) and the program (ERDAS 2014) in Drawing, improving, showing and diagnosing the spectral characteristics of the visuals to serve the study, and it was also clear that Al-Salman district was exposed to geomorphological risks represented by soil erosion that was estimated according to the Gavrilovic model. km2), which is equivalent to a percentage of (89.31%) of the total area of the study area. The light erosion category ranked second with an area of (1866.02 km2), representing a percentage of about (10.68%) of the total area of Al-Salman district, while it formed The medium erosion category is a very small percentage compared to the area of the study area, it reached (0.02 km2), which is equivalent to about (20000 m2).