Multisource remote sensing identification and comprehensive analysis of potential geohazards in the reservoir area

Accurate geohazard identification in reservoir areas is critical for engineering safety, property security and ecological stability. This study integrates InSAR-based surface deformation extraction and optical remote sensing interpretation to identify potential geohazards and their characteristics. The results show that: (1) Surface deformation extracted from ALOS PALSAR (2008-2010) and Sentinel-1B (2018-2021) data reveals annual average deformation rates of −35.52 to 52.31mm and −32.47 to 24.76mm for the two periods, respectively. More than 99% of the areas exhibiting stable deformation where the deformation rate ranges from −10 to 20mm; (2) A total of 12 potential geohazard sites are identified with small scales ranging from 0.053 to 0.791km²; (3) These sites are distributed in overburden and bedrock on gentle to moderate slopes (average 16°~37°) and are in early deformation stages that may lead to landslides or collapses. The findings can provide crucial data and technical support for reservoir bank stability assessment and geohazard prevention.