基于升降轨Sentinel-1A SBAS InSAR的西南山区滑坡隐患早期识别研究

以贵州省水城县为研究区，使用SBAS InSAR分别对2018-07~2019-07鸡场镇滑坡发生前31期升轨和30期降轨Sentinel-1A数据进行处理，提取地表形变场。结果表明：1）鸡场镇滑坡发生前SBAS InSAR形变场并未出现明显形变，已超出12 d重访周期SAR的形变监测能力；2）研究区存在5个明显形变区，推断与斜坡失稳、地下/露天采矿和矿物加工的抽排水有关；3）升降轨数据的SBAS InSAR形变场相互补充、验证，可显著提升卫星雷达对山区滑坡隐患早期识别和形变监测能力。研究方法可为贵州省以及中国西南山区滑坡隐患调查与早期识别提供技术参考。

Early Identification of Landslide Hazards in Southwest Mountainous Area Using Ascending and Descending Sentinel-1A and SBAS InSAR

Taking Shuicheng county, Guizhou province as the study area, we use SBAS InSAR to extract surface deformation fields by processing data from 2018-07 to 2019-07 for 31-period ascending and 30-period descending Sentinel-1A before the occurrence of the landslide in Jichang town, respectively. The results show that: 1) There is no obvious deformation information in SBAS InSAR results before Jichang landslide occurred, demonstrating that the potential landslides detection of Jichang landslide has exceeded the capability of SAR in the 12 d revisit period. 2) There are five obvious deformation zones in the study area, which may be related to slope instability, underground/open-pit mining and drainage of mineral processing. 3) The SBAS InSAR deformation results of the ascending and descending orbit data can be complementary and verified, significantly improving the ability of satellite radar for potential landslide detection and deformation monitoring in mountainous area. The research method can provide technical reference for the investigation and early identification of landslide hazards in Guizhou province and mountainous area of southwest China.