Estimation Soil Erosion Using MUSLE Method and TRMM Data in Mongo Watershed, Purworejo

The use of unbalanced land function with the ability and availability of land can increase land degradation from one of the erosion. This case in the Mongo Watershed which has a high level of soil criticism based on the data management plan of the Bogowonto 2018. This erosion can lead to decreased soil quality and loss of fertile soil, resulting in a direct impact on crop productivity. It can be minimized by doing erosion forecasts so that it can determine the appropriate mitigation. Estimate erosion by utilizing remote sensing technology and Geographic Information Systems (GIS) because the updates can be done quickly, covering a large and hard-to-reach area, and cheaper costs, so that it can be more effective and efficient. The modeling method used is the MUSLE method (Modified Universal Soil Equation). Modeling uses remote sensing data such as Sentinel 2A imagery, DEM ALOS PALSAR, and TRMM data. The use of TRMM data has improved the model through the addition of more accurate rainfall spatial information. The results of the erosion estimation in Mongo Watershed are dominated by very light and the overall erosion rate has a value from 0 to 221.483 tons/ha/yr. © 2020 IEEE.