Abstract: Objectives: On September 20, 2019, the Jungong ancient landslide in Lajia Town, Maqin County, Qinghai Province suffered a local failure, which led to the interruption of traffic and seriously threatened the safety of local residents' lives and properties. It is urgent to find out the deformation area and deformation law of the ancient landslide, to provide the support for prevention and control engineering design, monitoring and early warning. Methods: Firstly, using high-resolution satellite images, digital elevation model data and combined with field investigations, the ancient landslide were zoned based on landslide morphological characteristics and signs of deformations; further, Sentinel-1 radar satellite descending data from January 2017 to December 2020 were used to analyze the surface deformation characteristics and deformation patterns of the ancient landslide based on small baseline subtracts interferometric interferometry radar technology (SBAS-InSAR). Results: Based on the morphological characteristics and deformation signs of the landslide, the ancient landslide was divided into four subareas. The SBAS-InSAR results show that the ancient landslide is in a continuous slow creeping state. The strong deformation area of the landslide is mainly located in the road excavation section. Human activities greatly disturb the stability of the ancient landslide. The deformation rate of the strong deformation area of the landslide has a good relationship with rainfall. Conclusions: Although the ancient landslide has been partially treated with anti-slide piles and other projects, the ancient landslide has multi-level sliding surfaces, and the depth of the existing anti-slide piles is not enough. Although the ancient landslide has played a certain role in anti-slide, it has not completely prevented the creep deformation of the landslide. It is suggested that the subsequent treatment projects should use drilling and other exploration techniques to find out the depth of the multi-level sliding surfaces before designing, and installing on-site real-time monitoring and early warning equipment such as crack meters in the strongly deformed areas. Combined with the medium and long-term monitoring of radar satellite InSAR, a point-surface monitoring and early warning system could be realized.