The Indian Himalayas are prone to rock-debris slope failure every year during the rainfall period that lasts through JJAS months. A large number of active landslides lie along the Mandakini catchment in the Upper Indian Himalayas, posing a continuous threat to people and the rural landscape. To address this challenge, we conducted multi-temporal UAV surveys over a period of one year to monitor slope displacement efficiently. Flight plans for different epochs generated ultra-high-resolution products, including Digital Elevation Models (DEMs), orthomosaics, and 3D dense point clouds. In this study, we utilized the Geomorphic Change Detection (GCD) plugin to analyze the areal, volumetric, and vertical depth average change between pre- and post-digital elevation models for the Sonprayag Slope. The results help identify erosion and deposition values of rock-debris, contributing to a better understanding of slope dynamics. UAV-derived products, combined with GCD analysis, offer promising insights for monitoring and managing landslide hazards in the region.
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