Abstract: With the completion and impoundment of the hydropower stations, the change of water level will affect the stability of the reservoir bank slope, leading to a series of reservoir bank landslides that endanger the safety of the hydroelectric project and the residents in the reservoir area.In order to identify potential reservoir bank landslides as early as possible, Baihetan Reservoir area was selected as the research area, and a method combining unmanned aerial vehicle(UAV) oblique photogrammetry technology with short baseline set interferometric measurement technology(SBAS-InSAR) was proposed to identify hidden landslide hazard points in the Baihetan Reservoir area and its surrounding areas.Based on the identification results, we drew a landslide map and developed a landslide identification procedure.Firstly, the InSAR technology was used to identify a large area of about 300 km2 in the Hulukou-Xiangbiling section of the Baihetan Reservoir area, with a total of 46 suspected landslide hidden danger points identified.Then, an area of about 50 km2 was selected for the landslide hidden danger identification and detailed verification method research based on the UAV oblique photography measurement technology.In addition to the verification of 5 active landslides with deformation features detected by the SBAS-InSAR technology, 7 ancient landslide bodies that were currently temporarily stable and had unclear deformation signs were also identified based on the morphology and micro-geomorphic features of the disaster bodies using three-dimensional realistic models and three-dimensional enhanced display models.The experimental results were verified on site, and the landslide identification method was found to have a high accuracy, which can provide important reference for geological disaster prevention and control in the Baihetan Reservoir area and similar working conditions.