Abstract: Dongchuan is located in the world's deep and large fault zone, with complex geological structure and strong erosion. Geological disasters such as landslides, mudslides and earthquakes occur frequently in this region, which make it difficult to actively prevent it. The traditional surface deformation monitoring method has small scope, large workload and low efficiency, so it is difficult to achieve a wide range of macroscopic continuous monitoring. InSAR technology had been successfully applied in the monitoring of landslide disasters in many areas. However, the Dongchuan area has large elevation differences, significant surface vegetation coverage, and scarce artificial features. The two-phase SAR image has low coherence, which is not conducive to the use of InSAR technology to monitor ground deformation. In this thesis, two sentinel-1 images were selected, and D-InSAR technology was used to obtain the surface deformation information in the study area from 2019 to 2020. Landslide disaster points around the urban area were identified by analyzing, and verified the reliability of the results through optical remote sensing images. The experimental results show that D-InSAR technology can easily obtain large-scale regional deformation information around Dongchuan urban area, and can effectively identify the landslide disasters in Dongchuan area. 

Key words: Landside; D-InSAR, Dongchuan