This paper is the result of remote−sensing−based early identification and monitoring of geological hazards.

Objective The southwest mountainous areas of China are rich in water conservancy and hydropower resources, with numerous cascade hydropower stations. However, the construction of reservoirs in this region can easily trigger bank slope landslides. Therefore, there is an urgent need for an effective remote sensing identification and monitoring method to reduce the impact of landslides.

Methods In this paper, the potential landslide hazards of the bank slope landslide identified by SBAS−InSAR technology combined with UAV 3D real−world technology before impoundment were used as the geological hazard reservoir and the hidden danger points were classified, and the changes of the landslide hazards were mainly monitored by UAV multi−stage inspection after impoundment, and the deformation characteristics of the deformed landslides were further observed and analyzed, and finally different types of typical landslides in the reservoir area were selected to analyze the deformation characteristics of the landslides and the applicable remote sensing investigation methods were proposed.

Results The results show that 38 disasters were identified by SBAS−InSAR before impoundment, and 64 disasters (including 13 overlapped) were identified by UAV 3D reality technology, and the combination of the two technologies to establish a disaster database of 89 landslide hazards can indeed greatly improve the efficiency of landslide hazard identification.

Conclusions The comparison of multi−period data of UAV in impoundment can indeed accurately and quickly obtain the morphology and deformation characteristics of landslide disasters. In this paper, a set of remote sensing identification methods for landslide hazards in the reservoir area combined with InSAR and UAV 3D reality technology are constructed, and SBAS−InSAR combined with UAV 3D reality technology is used to identify a wide range of hidden danger points and establish a disaster reservoir before impoundment, and a separate UAV multi−stage inspection or InSAR and UAV combination method is selected for monitoring according to different types of hidden danger points during the impoundment period, which is of practical significance for the geological hazard investigation in the reservoir area.