Linking Soil Erosion Modeling to Landscape Patterns and Geomorphometry: An Application in Crete, Greece

Soil erosion is a severe and continuous environmental problem caused mainly by natural factors, which can be enhanced anthropogenic activities. The morphological relief with relatively steep slopes, the dense drainage network, Mediterranean climate are some of factors that render Paleochora region (South Chania, Crete, Greece) particularly prone to soil in cases intense rainfall events. In this study, we aimed assess correlation between rates estimated from Revised Universal Loss Equation (RUSLE) landscape patterns detect most erosion-prone sub-basins based on an analysis morphometric parameters, using geographic information system (GIS) remote sensing technologies. assessment was conducted RUSLE model. metrics carried out correlate patterns. helped us prioritize areas at sub-basin level. were mapped, showing spatial distribution loss for study area 2020. For instance, seemed highly impact rates. parameter considered as useful tool delineating vulnerable erosion. integration three approaches showed there robust relationships modeling, patterns, morphometry.