测绘通报 ›› 2022, Vol. 0 ›› Issue (11): 8-12.doi: 10.13474/j.cnki.11-2246.2022.0317

• 滑坡监测与分析 • 上一篇    下一篇

改进TS-InSAR方法的白格滑坡灾前-灾后形变演化特征分析

余斌1, 李松1, 谢凌霄1, 贾洪果1,2, 亢邈迒3, 刘雨鑫3, 廖明杰1, 张瑞1,2   

  1. 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. 中铁第一勘察设计院集团有限公司, 陕西 西安 710043
  • 收稿日期:2021-12-14 修回日期:2022-07-25 发布日期:2022-12-08
  • 通讯作者: 张瑞,E-mail:zhangrui@swjtu.edu.cn
  • 作者简介:余斌(1996-),男,硕士,主要研究方向为地质灾害监测与环境遥感。E-mail:ybdouble12@my.swjtu.edu.cn
  • 基金资助:
    国家自然科学基金(42071410);高分辨率对地观测重大专项航空观测系统项目(30-H30C01-9004-19/21);四川省科技计划(2018JY0564;2019ZDZX0042;2020JDTD0003);铁一院科研(川藏)20-32

Analysis of deformation evolution characteristics of Baige landslide before and after disaster based on improved TS-InSAR method

YU Bin1, LI Song1, XIE Lingxiao1, JIA Hongguo1,2, KANG Miaohang3, LIU Yuxin3, LIAO Mingjie1, ZHANG Rui1,2   

  1. 1. Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China;
    2. State-Province Joint Engineering Laboratory of Spatial Information Technology of High-Speed Rail Safety, Chengdu 611756, China;
    3. China Railway First Survey and Design Institute Group Co., Ltd., Xi'an 710043, China
  • Received:2021-12-14 Revised:2022-07-25 Published:2022-12-08

摘要: 2018年10至11月,金沙江上游白格滑坡先后两次垮塌渡江并致堰塞湖,且至今仍存在较显著的蠕滑形变。针对时序InSAR技术在高植被发育区的应用局限,本文提出了一种改进的时序InSAR解算方法(ITSI),结合Sentinel-1A卫星2017年9月-2021年3月期间获取的SAR影像数据,针对滑坡区域分别开展了灾前和灾后时序干涉处理,提取了灾害-灾后时段内的年平均蠕滑速率场(灾前极值为9.71cm/a,灾后达到25.42cm/a)和累计蠕滑形变量(灾前极值为13cm,灾后两年内达61cm),并结合灾前-灾后形变时间序列,重点分析了蠕滑形变的时序演化特征,发现白格滑坡灾后两年间渐趋稳定。此外,监测结果发现白格滑坡上游5km处的肖莫久滑坡也处于活动状态。相关结果可为该区域防灾减灾领域研究提供参考。

关键词: 白格滑坡, 时序雷达干涉测量, 蠕滑形变, 形变演化特征, 肖莫久滑坡

Abstract: From October to November 2018, the Baige landslide in the upper reaches of Jinsha River collapsed twice, causing a barrier lake, and there is still significant creep deformation. This paper proposed an improved TS-InSAR (ITSI) approach to acquire the landslide area's time series creep deformation measurements. Based on the SAR image data obtained by Sentinel-1A satellite from September. 2017 to March. 2021, the pre-disaster and post-disaster time series processing are carried out, and the annual average creep velocity field (the pre-disaster extreme value is 9.71cm/a, and the post-disaster extreme value is 25.42cm/a) and cumulative creep deformation measurements (the extreme value is over 13cm in the pre-disaster period, and it reaches 61cm within two years after the disaster) are extracted then. Combined with the deformation time series measurements obtained, the creep deformation's time series evolution characteristics are emphatically analyzed subsequently. The results indicated that the Baige landslide was gradually stable in the two years after the disaster. In addition, the monitoring results shew that the Xiaomojiu landslide in the 5km upstream of the Baige landslide is also active. The relevant results would like to provide a reference for the research in disaster prevention and reduction in this region.

Key words: Baige landslide, TS-InSAR, creep deformation, deformation evolution characteristics, Xiaomojiu landslide

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