Abstract: Potential geological disasters frequently occur in northwestern Yunnan. Landslide is the main type of geohazard. The identification of landslide in this area is an effective disaster prevention and mitigation measure. The traditional methods of identifying potential geological hazards are relatively single and rely on a large number of manpower and the investigation efficiency are not satisfactory. This paper processes the data from WordView2, Sentinel-1A, and ALOS-2 remote sensing satellite by using the Stacking-InSAR and other technologies, and a variety of optical satellite images and InSAR-processed surface deformation maps were obtained. Optical interpretation signs and InSAR identification signs had undergone multiple visual interpretations and manual interactive interpretations, and based on the interpretation and recognition results, the identification methods are summarized and field investigations were also carried out to verify the results. A total of 806 potential landslides and old landslides were identified, providing new survey ideas and technical references for the future investigation and evaluation of geological disasters in northwestern Yunnan.