The Utilization of Sentinel-1 Soil Moisture Satellite Imagery for Runoff Coefficient Analysis

Abstract Soil moisture content can provide information about the relationship between runoff coefficient and water availability to increase agricultural productivity measure potential erosion rates. Observation of soil sometimes cannot be directly measured. Therefore, study was conducted develop practical monitoring techniques using Sentinel-1 satellite images. Moisture measurements obtained from image are pre-processed through Sentinel Application Platform (SNAP), which is then processed Dubois model get permittivity value backscatter (σ◦). The Topp’s model. gravimetric methods in situ tests were used validate estimation processing. Based on this research, provides a solution for moisture. shows greater value, higher will obtain. This proves that developed land valley condition has high coefficient. A susceptibility Sites with similar characteristics need consider appropriate cover ensure sustainability conservation while still benefiting activities.