Soil erosion estimation using remote sensing techniques in the shirvan plain of the republic of Azerbaijan

Soil erosion is one of the major environmental problems in terms soil degradation Shirvan plain Republic Azerbaijan. leads to significant on- and off-site impacts such as decrease productive capacity land sedimentation. The key aspects influencing quantity mainly rely on vegetation cover, topography, type, climate. This research studies quantification under different levels data availability plain. Remote Sensing (RS) Geographic Information Systems (GIS) techniques have been implemented for assessment data, applying Revised Universal Loss Equation (RUSLE) calculation risk erosion. Thirty samples were randomly selected credibility factor, based calculating ݐ¾-factor values derived from property surfaces after interpolating sampling points. map was reclassified into five classes 25.3% severe (190,740 ha). GIS RS proved be powerful instruments mapping risk, providing sufficient tools analytical part this research. results certified role RUSLE a decision support tool.