Universal Soil Loss Equation (RUSEL) Calibration Using GIS and Remote Sensing (Case Study: Sykhoran of Watershed Hormozgan)

The increase of soil erosion as a threat to human welfare and even for his/her life is considered in this study. Soil erosion protection from erosion to develop methods for sustainable management of watersheds is necessary. Due to the absence or lack of data on soil erosion and sediment yield of watersheds in many countries, the use of new technologies is necessary. The aim of this study was the application of calibrated Russell model parameters using geographical information systems and remote sensing to identify areas within the Sykhvran watershed. Results indicate that that there are more risks of erosion in the area. After creating a regression equation in hydrometric stations, rainfall erosivity factor (R) was calculated and interpolated. Soil erosion (K) was estimated to use the data. Soil and land surveying in the field were then carried out. Factor vegetation index using NDVI and length of shelves also were calculated through digital elevation model. Due to the lack of security operations in the watershed, we considered a factor equal protection operation. Based on the results obtained, the highest average annual erosion in Sykhoran catchment area was seen in the southern regions. The results of the correlation calculation of soil erosion and RUSEL model factors indicated significant correlation (R2 =% 82) with soil erosion. The results also matched with one of the region's solidarity sediment stations with %82.7. The application of GIS and RS technologies for quantitative estimation of quantities have finally proved soil erosion in the area under study.