Abstract: Aiming at the current situation of frequent landslide disasters caused by freeze-thaw action and precipitation in Yili area, this paper takes Yining County as the research object, combining the Sentinel-A data from January 2020 to December 2021 and the ALOS-2 data from May 2016 to May 2020, using Stacking-InSAR and SBAS-InSAR technology to obtain surface deformation information in the study area, combined with optical remote sensing interpretation to identify 418 potential landslides, and field verification of landslide identification results in typical geological disaster areas. The advantages and disadvantages of the two time-series InSAR technologies are analyzed, and an InSAR early identification method for landslides in Yining County is constructed. The temporal and spatial evolution characteristics of the Hujierte landslide group are analyzed by introducing precipitation data combined with the climate characteristics of Yining County. It is inferred that freeze-thaw action and rainfall are the main inducing factors of landslide disasters in the area, and the deformation rate during the freeze-thaw period is greater than that during the rainfall period. The landslides in the area are mainly distributed on slopes of 10°-30°, the slope aspect is mainly shady slope, and the interbedded relatively weak rock groups less than 5 km away from the fault zone are dominated by sandstone, conglomerate, sandy gravel and sandy soil. The research results show the reliability of InSAR technology in identifying landslides in Yining County, which can provide technical reference and scientific basis for local disaster prevention and control.