SBAS-InSAR技术在特大型滑坡形变监测中的应用——以西藏自治区庞村滑坡为例
DOI:
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

P237

基金项目:


Application of SBAS-InSAR Technology in Extra Large Landslide Deformation Monitoring: Taking Pangcun Landslide in Tibet Autonomous Region as an example
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    针对西藏庞村滑坡2019年4月发现裂缝并持续增大,对附近村民及基础设施产生严重安全威胁,搜集2018 年 1 月 3 日至 2020年7 月 3 日的 75 景 Sentinel-1A 降轨数据,利用小基线集(small baseline subset-interferometric SAR, SBAS-InSAR)技术获取滑坡在该时间段内的地表形变信息;并在形变量较大区域内选取特征点,对形变量进行分析,最终将InSAR解译结果与地面调查以及GNSS(global navigation satellite system, GNSS)监测站结果进行对比,对解译结果的精度进行验证。结果表明:在所选时间段内,庞村滑坡最大形变速率为-38mm/y;滑坡体的形变存在明显的分界线,可将其分为三个不同的滑动区;2018年12月和2019年10月两个时间点,滑坡形变有明显的加速现象;与地面监测数据的精度验证表明:SBAS-InSAR解译结果与地面监测结果显示的滑坡形变时间和空间特征一致性,验证了利用Sentinel-1A数据采用SBAS-InSAR技术在特大型滑坡监测和治理中的有效性,为滑坡的治理提供了可靠的技术依据。

    Abstract:

    For the Pangcun Landslide in Tibet, where cracks were found in April 2019 and continued to increase in size, posing a serious safety threat to nearby villagers and infrastructure, 75 scenes of Sentinel-1A descending track data from January 3, 2018 to July 3, 2020 were collected, and the surface deformation information of the landslide during this time period was obtained by using the small baseline subset-interferometric synthetic aperture radar (SBAS-InSAR) technique; feature points were selected in the area with large deformation variables, and the deformation variables were analyzed. The accuracy of the interpretation results is verified. The results show that: the maximum deformation rate of Pangcun landslide is -38 mm/y in the selected time period; there are obvious dividing lines of landslide deformation, which can be divided into three different sliding zones; there is an obvious acceleration of landslide deformation in two time points, December 2018 and October 2019; the accuracy verification with ground monitoring data shows that: the landslide deformation shown by SBAS-InSAR interpretation results and ground The consistency of the temporal and spatial characteristics of landslide deformation shown by the monitoring results verifies the effectiveness of SBAS-InSAR technology using Sentinel-1A data in the monitoring and management of mega-landslides, which provides a reliable technical basis for the management of landslides.

    参考文献
    相似文献
    引证文献
引用本文

许东丽,王涛,达瓦桑杰,等. SBAS-InSAR技术在特大型滑坡形变监测中的应用——以西藏自治区庞村滑坡为例[J]. 科学技术与工程, 2021, 21(35): 14927-14935.
Xu Dongli, Wang Tao, Dawa Sangjie, et al. Application of SBAS-InSAR Technology in Extra Large Landslide Deformation Monitoring: Taking Pangcun Landslide in Tibet Autonomous Region as an example[J]. Science Technology and Engineering,2021,21(35):14927-14935.

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2021-06-30
  • 最后修改日期:2021-09-24
  • 录用日期:2021-08-27
  • 在线发布日期: 2021-12-20
  • 出版日期:
×
喜报!《科学技术与工程》入选国际著名数据库《工程索引》(EI Compendex)!