Abstract
Soil water content observations from remote sensing are growing for landslide disaster management due to the potential of wide coverage and fine resolution. Characteristic evaluation of various soil water content products is necessary for improving the accuracy. This study assesses soil water content products from Soil Moisture Active Passive from Global Modelling and Assimilation NASA, Soil Moisture and Ocean Salinity from ESA, and Soil Water Index (SWI) from Copernicus Global Land Service. Results are compared with soil test in terms of spatial and temporal distribution, time series, and quantitative performance indices. The study is conducted in Brantas River Basin Indonesia, where the upstream is vulnerable for landslide disaster. The investigation has shown that with correlation coefficient 0.81, SWI is suitable for further application in the study area. This finding has important implications for modelling the landslide hazard using quantitative soil water content product from satellite imagery.
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