联合升降轨时序InSAR的金沙江滑坡群隐患识别  

Identification of Jinsha River Landslide Hazards by Time-Series InSAR with Combined Ascending and Descending Orbit Data

作　　者：包馨 张瑞 刘安梦云 王婷 向卫 刘国祥 BAO Xin;ZHANG Rui;LIU Anmengyun;WANG Ting;XIANG Wei;LIU Guoxiang(Faculty of Geosciences and Environmental Engineering,Southwest Jiaotong University,Chengdu,Sichuan 611756,China;State-Province Joint Engineering Laboratory of Spatial Information Technology of High-Speed Rail Safety,Chengdu,Sichuan 611756,China;Space Microwave Remote Sensing System Department,Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100190,China)

机构地区：[1]西南交通大学地球科学与环境工程学院,四川成都611756 [2]高速铁路运营安全空间信息技术国家地方联合工程实验室,四川成都611756 [3]中国科学院空天信息创新研究院航天微波遥感系统部,北京100190

出　　处：《北京理工大学学报》2023年第11期1135-1145,共11页Transactions of Beijing Institute of Technology

基　　金：国家自然科学基金资助项目(42071410,42171355);四川省科技计划项目(2019ZDZX0042,2020YJ0322,2021YFH0038)。

摘　　要：针对单一轨道合成孔径雷达干涉(InSAR)观测结果难以完整识别滑坡隐患的问题,在小基线子集(SBAS)算法基础上引入时间约束因子,结合时空基线组合优化与升降轨联合解算策略,提出了长时序InSAR二维形变提取模型与方法.针对白玉县和贡觉县交界处的金沙江沿线滑坡易发区,采用2018年-2022年的Sentinel-1A升降轨影像数据集开展时序InSAR形变解算,识别得到了金沙江深切峡谷区域的10处滑坡隐患及其空间分布,探明5处特大滑坡隐患(单体超过5 000万m3,最大形变速率超过-70 mm/a),进一步解算得到了各滑坡点的滑移方向及量值,并结合降水数据总结归纳了滑坡的季节性演化特征与长期发展趋势.相关研究结果可为该区域的地质灾害防治与重大基础设施建设提供重要的参考数据和信息支撑.The topography along the Jinsha River valley is complex,and the slope toe is seriously eroded by rain-water and river water,which has become one of the hardest hit areas of landslide disasters in China.Due to the difficulty of landslide hazards full identification with single track InSAR observations,a long time-series InSAR two-dimensional deformation extraction model and method was proposed in this paper.Firstly,a time constraint factor was introduced on the basis of SBAS algorithm,combining a spatio-temporal baseline optimization with ascending and descending track solving strategies.Then,being the landslide-prone area along the Jinsha River at the junction of Baiyu and Gongjue counties,a Sentinel-1A ascending and descending imagery of the landslide-prone area from 2018 to 2022 was used to carry out the time-series InSAR deformation solution.Ten landslide hazards and their spatial distribution in the deep-cut canyon area of Jinsha River were identified and obtained.7 And five hidden dangers of mega-landslides were identified(the monomer exceeded 5010 m3,and the maxim-um deformation rate exceeded-70 mm/y),solving more the landslide direction and the amount of each landslide.Finally,seasonal evolution characteristics and long-term development trend of the landslides summarized were summarized based on combination of the precipitation data.The relevant research results can provide important reference data and information support for geological disaster prevention and major infrastructure construction in this area.

关 键 词：金沙江 Sentinel-1A 滑坡隐患 时序InSAR 二维形变 

分 类 号：P237[天文地球—摄影测量与遥感]