Abstract:To comprehensively and accurately identify the potential landslide hazards on both sides of the main stream of the Xiaojinchuan Banfenmen-Dawei reach, based on the SBAS-InSAR technology, we use the data analysis results of Sentinel-1 lift rails combined with complementary methods to identify the potential landslide hazards in this area at an early stage. The analysis and processing results show that: 1) The combination of the ascending and descending orbit data effectively avoids the shadow overlapping area and can comprehensively identify the hidden danger points of long-term creep of the bank slopes on both sides. 2) The LOS direction deformation rate is -120-10 mm/a from the Sentinel-1 descending orbit data, and -131-10 mm/a from the ascending orbit data. 3) Based on the deformation results, 35 landslide hidden danger points are identified, including 8 typical landslide hidden danger points. The deformation characteristics of the landslide hidden danger points are reviewed on site. The road on the slope is obviously broken, with developed cracks in the deformation area. These led to the dislocation of the platform, which verifies that the slope was in a long-term creep state.
HU Dongyu,WANG Yunsheng,WU Haochen et al. Identification and Research of Hidden Landslide Dangers on Both Sides of Xiaojinchuan Based on SBAS-InSAR Technology[J]. jgg, 2022, 42(11): 1171-1176.