Estimating the Soil Erosion Response to Land-Use Change Using GIS-Based RUSLE and Remote Sensing: A Case Study of Heilongjiang Province, China

Understanding soil erosion in the northeastern area of China with black is vital for protecting natural environment and preserving food security. Although spatial temporal studies have been conducted, further research needed on correlation between land use type changes. In this study, modulus computed using RUSLE. The model that most suitable to was produced by contrasting three different approaches estimating rainfall factor. RUSLE based multi-year continuous high-density hourly average precipitation had best performance bunch, a MAPE 15.49%, RMSPE 7.99%, R2 0.99. Based model, simulated trends study region from 1980 2020 were examined, along link change. results showed 40.47% overall made up cultivated land, 97.83% it low erosion. severe occurred unused moderate above occupying 48.93%. Since 2000, there has an increase region, which primarily spatially represented rise forests central northern mountainous areas. study’s findings serve as guide planning development sustainable agriculture.