Abstract: Using the upstream reservoir area of Pengshui hydropower station as a test site, this study employed InSAR technology and time-series Sentinel- 1ASAR data from 2019 to 2021 to systematically monitor surface deformation in the reservoir area. It accurately identified deformation zones within a 5-km buffer zone around the reservoir and conducted detailed statistical analyses of the location, area, and number of these zones. Based on these findings and combined with field survey data, early identification of geological hazard risks was conducted, achieving an identification rate of approximately 70%. This study has effectively enhanced the capacity for prevention, control, and early warning of geological hazards in the reservoir area. It holds significant practical importance for ensuring the safe and stable operation of Pengshui hydropower station and safeguarding the lives and property of the local population.

Key words: InSAR, geological hazards, early identification, distributed scatterer

摘要： 以彭水水电站上游库区为试验区，借助InSAR技术，利用2019—2021年的时间序列Sentinel-1ASAR数据，对库区地表形变进行系统观测，精准提取库区5 km缓冲范围内的形变区域，并对形变区域的位置、面积与数量进行详细统计。在此基础上，结合实地调查情况，开展地质灾害隐患的早期识别工作，识别率可达 70%左右。该研究有效提升了库区地质灾害的防治与预警能力，对于保障彭水水电站的安全稳定运营及守护库区人民的生命财产安全具有极为重要的现实意义。

关键词: 合成孔径雷达干涉测量, 地质灾害, 早期识别, 分布式散射体