基于SBAS-InSAR技术的小金川两岸滑坡隐患识别

为全面准确地识别小金川半扇门-达维河段干流两岸滑坡隐患，基于SBAS-InSAR技术，通过Sentinel-1升、降轨数据分析结果结合互补的方式对该区域的滑坡隐患进行早期识别。结果显示：1）升、降轨数据结合有效减小了阴影叠掩区干扰，能够较全面地识别出两岸岸坡长期蠕变的隐患点；2）Sentinel-1降轨处理得到LOS向形变速率为-120~10 mm/a，升轨处理得到的形变速率为-131~10 mm/a；3）基于形变结果识别出35处滑坡隐患点，其中8处为典型滑坡隐患点。重点分析两处滑坡隐患点的形变特征并进行现场复核显示，坡体上道路错断明显，在形变区域发育有裂隙并导致地台发生错动，验证了坡体处于长期蠕变状态。

Identification and Research of Hidden Landslide Dangers on Both Sides of Xiaojinchuan Based on SBAS-InSAR Technology

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.