Abstract: The Yunlong segment of the Lancang River Basin is situated in the alpine and gorge region of western Yunnan. The terrain in this area is precipitous and the geological environment is intricate, offering good circumstances for the formation and development of landslide disasters. The frequent occurrence of landslide disasters in this area has caused substantial losses to people's lives and properties. Utilizing traditional methods to investigate landslides is time-consuming and labor-intensive, and it is challenging to meet the demand for the rapid identification of landslides under the new circumstances. In this paper, by using Sentinel-1A ascending and descending orbit data and based on the SBAS-InSAR technology, the deformation vector in the radar line-of-sight direction is decomposed into the deformation in the direction of the steepest slope, and in combination with Google Earth optical images, the landslide identification research is conducted. A total of 47 landslides are jointly identified by ascending and descending orbits, among which 30 landslides are identified by the ascending orbit, 22 landslides are identified by the descending orbit, and 5 landslides are identified jointly by both orbits. The identified landslides are verified and the deformation monitoring and analysis of typical landslides are carried out. The results indicate that the combined lifting rail monitoring is capable of identifying the landslide more comprehensively, and the recognition accuracy of the landslide can be enhanced by integrating the slope direction deformation. The research results offer ideas and references for landslide identification in the alpine and gorge areas of western Yunnan.