Hybrid machine learning-RUSLE approach for soil erosion assessment in Aizawl district, Mizoram, Northeast India

Water-induced soil erosion is a critical driver of land degradation in the Eastern Himalayas, threatening agricultural productivity and regional stability. Previous assessments in Northeast India often rely on coarse global datasets or resource-intensive field approaches that lack the spatial granularity required for district-level management in complex terrains such as Aizawl. This study aimed to quantify the modelled average annual soil loss and delineate high-risk erosion zones using high-res