Estimation of C factor for soil erosion modeling using NDVI in Buyukcekmece watershed

In order to take measures in controlling soil erosion it is required to estimate soil loss over area of interest. Soil loss due to soil erosion can be estimated using predictive models such as Universal Soil Loss Equation (USLE) and Revised Universal Soil Loss Equation (RUSLE). The accuracy of these models depends on parameters that are used in equations. One of the most important parameters in equations used in both of models is C factor that represents effects of vegetation and other land covers. Estimating land cover by interpretation of remote sensing imagery involves Normalized Difference Vegetation Index (NDVI), an indicator that shows vegetation cover. The aim of this study is estimate C factor values for Buyukcekmece watershed using NDVI derived from 2007 Landsat 5 TM Image. The final C factor map was generated using the regression equation in Spatial Analyst tool of ArcGIS 9.3 software. It is found that north part of watershed has higher C factor values and almost 60% of watershed area has C factor classes between 0.2 and 0.4

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