Abstract: Since the impoundment of the Three Gorges Reservoir Area in 2003, the Muyubao landslide has been continuously deformed, posing significant risks to Yangtze River navigation and the safety of people's lives and property in the reservoir area. [Objective]In order to analyze the surface deformation information of the landslide more comprehensively and accurately. [Methods] In this paper, the Stanford method for persistent scat-terers-multi-temporal InSAR (StaMPS-MTI) and small baseline subset InSAR (SBAS-InSAR) technology combined with Sentinel-1 data are used to invert the deformation information of Muyubao landslide from 2017 to 2022. The deformation information is compared with the GNSS monitoring data, and the regionalization study on the spatio-temporal deformation characteristics of landslide was conducted by integrating the advantages of the two technologies through a combination of point and surface. [Results] The results confirm that the deformation information obtained by InSAR technology has certain reliability, and the two time series InSAR technologies have their own advantages and disadvantages. Comparing the deformation rate interval values of each partition, the eastern slope of the landslide (-30.6~-46.2 mm/a) > the eastern side of the major slipping plane (-25.2~-37.8 mm/a) > the western side of the major slipping plane (-21.5~-31.5 mm/a). [Conclusion] On the basis of InSAR deformation results and previous studies, the deformation mode of Muyubao landslide is summarized : the deformation of Muyubao landslide is divided into overall deformation and local deformation under the influence of rainfall and reservoir water. During the high water level operation period, the landslide undergoes overall deformation due to the buoyancy weight loss effect, with a reservoir water threshold of approximately 168 m. Heavy rainfall infiltrates the rock mass to raise the groundwater level, which promotes the overall deformation, and acts on the shallow soil and broken rock mass to cause local deformation of the landslide. During the reservoir water decline period, the landslide is affected by both buoyancy weight loss and hydrodynamic pressure effect, the buoyancy weight loss effect is dominant, and the hydrodynamic pressure effect has a lag time of about 36 days. During the low water level operation period and the reservoir water rising period, the overall deformation of the landslide no longer occurs, and the heavy rainfall causes the deformation of the local deformation area. The results show that the time-series InSAR technology can effectively identify and monitor landslides, and can provide technical support for geological disaster prevention and risk assessment.