陆会燕, 李为乐, 许强, 董秀军, 代聪, 王栋. 光学遥感与InSAR结合的金沙江白格滑坡上下游滑坡隐患早期识别[J]. 武汉大学学报 ( 信息科学版), 2019, 44(9): 1342-1354. DOI: 10.13203/j.whugis20190086
引用本文: 陆会燕, 李为乐, 许强, 董秀军, 代聪, 王栋. 光学遥感与InSAR结合的金沙江白格滑坡上下游滑坡隐患早期识别[J]. 武汉大学学报 ( 信息科学版), 2019, 44(9): 1342-1354. DOI: 10.13203/j.whugis20190086
LU Huiyan, LI Weile, XU Qiang, DONG Xiujun, DAI Cong, WANG Dong. Early Detection of Landslides in the Upstream and Downstream Areas of the Baige Landslide, the Jinsha River Based on Optical Remote Sensing and InSAR Technologies[J]. Geomatics and Information Science of Wuhan University, 2019, 44(9): 1342-1354. DOI: 10.13203/j.whugis20190086
Citation: LU Huiyan, LI Weile, XU Qiang, DONG Xiujun, DAI Cong, WANG Dong. Early Detection of Landslides in the Upstream and Downstream Areas of the Baige Landslide, the Jinsha River Based on Optical Remote Sensing and InSAR Technologies[J]. Geomatics and Information Science of Wuhan University, 2019, 44(9): 1342-1354. DOI: 10.13203/j.whugis20190086

光学遥感与InSAR结合的金沙江白格滑坡上下游滑坡隐患早期识别

Early Detection of Landslides in the Upstream and Downstream Areas of the Baige Landslide, the Jinsha River Based on Optical Remote Sensing and InSAR Technologies

  • 摘要: 2018-10-11和2018-11-03,金沙江上游西藏自治区江达县波罗乡白格村附近先后发生两次大规模高位滑坡堵江。虽经人工干预处置后进行泄流,但还是对下游居民和交通设施造成了严重损失,其上下游是否还存在类似的大规模滑坡隐患,成为白格滑坡灾害发生后社会各界关注的焦点问题。首先利用高精度光学卫星影像对白格滑坡上游30 km和下游100 km范围内的滑坡隐患进行人工目视解译和定性评价,共识别出滑坡隐患51处,其中下游70~100 km范围内有10处具有堵江风险的滑坡隐患。在此基础上,对具有堵江风险的重点区域(白格滑坡下游70~100 km范围内)收集存档ALOS PALSAR-1和Sentinel-1A雷达卫星数据,利用短基线差分干涉测量技术开展滑坡隐患地表形变定量探测和分析评价,共探测出7处具有较显著形变的滑坡隐患,其中3处堵江风险较大,为白格滑坡上下游地质灾害防治和川藏铁路选线提供了参考。

     

    Abstract: On October 11 and November 3, 2018, two large-scale landslides occurred in the upstream of the Jinsha River near the Baige Village, Polo Town, Jiangda County, Tibet Autonomous Region. Although the drainage was carried out by manual intervention, it still caused severe losses to the residents and transportation facilities in the downstream. Whether there are similar large-scale potential landslides in the upstream and downstream of the Jinsha River has become the social focus issue after the Baige Landslide disaster occurred. Firstly, high-resolution optical satellite images are used to interpret and qualitatively evaluate the potential landslide hazards in the upstream of the Baige Landslide within 30 km and the downstream of the Baige Landslide within 100 km. A total of 51 potential landslides are identified, of which 10 potential landslides in the downstream of the Baige Landslide within 70-100 km have the risk of blocking the river. On this basis, the ALOS PALSAR-1 and Sentinel-1A radar satellite data are collected in the key area (70-100 km downstream of the Baige Landslide) with the risk of river blockage. The quantitative detection and analysis of the potential surface deformation of landslides are carried out by using the small baseline subsets interferometric synthetic aperture radar (SBAS-InSAR). Seven potential landslides are detected to have significant deformation, of which three are at higher risk of river blockage. The research results have been submitted to the Ministry of Emergency Management, Sichuan Natural Resources Department, China Railway Second Academy Engineering Group Co. Ltd. and other departments and units, providing a reference for the prevention and control of geological hazards in the upstream and downstream of the Baige Landslide and the route selection of Sichuan-Tibet railway.

     

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