Use of satellite and modeled soil moisture data for predicting event soil loss at plot scale

摘要: The potential of coupling soil moisture and a Universal Soil Loss Equation-based (USLE-based) model for event loss estimation at plot scale is carefully investigated the Masse area, in central Italy. derived model, named Moisture Erosion (SM4E), applied by considering unavailability situ measurements, using data predicted water balance (SWBM) from satellite sensors, i.e., Advanced SCATterometer (ASCAT). accuracy validated measurements which observations are available period 2008–2013. results showed that including rainfall–runoff erosivity factor USLE enhances capability to account variations losses, being an effective alternative estimated runoff, prediction Masse. agreement between observed losses (through SM4E) fairly satisfactory with determination coefficient (log-scale) equal ~ 0.35 root mean square error (RMSE) 2.8 Mg ha −1 . These particularly significant operational losses. Indeed, currently, relatively simple measurement field remote sensing also widely on global scale. Through data, there applying SM4E large-scale monitoring quantification erosion process.