Slope Stability State Monitoring and Updating of the Outang Landslide, Three Gorges Area with Time Series InSAR Analysis

被引:0
|
作者
Shi X. [1 ]
Xu J. [1 ]
Jiang H. [2 ]
Zhang L. [3 ]
Liao M. [3 ]
机构
[1] School of Geography and Information Engineering, China University of Geosciences, Wuhan
[2] School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, Nanjing
[3] State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan
关键词
Displacement monitoring; Engineering geology; Outang landslide; Rainfall; Time series InSAR analysis; Water level;
D O I
10.3799/dqkx.2019.180
中图分类号
学科分类号
摘要
Slope displacement is the most direct embodiment of slope stability. Thus, it is of great significance to monitor the known landslides and detect the unknown landslides by routine time series displacements of landslide prone areas. Synthetic Aperture Radar (SAR) images with its wide coverage and capability of high presicion displacement monitoring play more and more important roles in landslide identification and detection. In this study, time series InSAR analysis method combining distributed scatterers and point-like targets is introduced. Then, we investigate the stability of the Outang landslide and surrounding slopes with 19 ALOS PALSAR images from 2007 to 2011 and 47 Sentinel-1 images from 2015 to 2018. Three new active slopes were identified with the Sentinel-1 datasets compared with the results from ALOS PALSAR datasets. Time series displacement analysis indicate the rainfall and water level fluctuation seriously affect the stability of slopes in the Three Gorges area. As a result, time series InSAR analysis can be carried out routinely to monitor and detect potential landslides. © 2019, Editorial Department of Earth Science. All right reserved.
引用
收藏
页码:4284 / 4292
页数:8
相关论文
共 32 条
  • [31] Zhao C.Y., Zhang Q., He Y., Et al., Small-Scale Loess Landslide Monitoring with Small Baseline Subsets Interferometric Synthetic Aperture Radar Technique: Case Study of Xingyuan Landslide, Shaanxi, China, Journal of Applied Remote Sensing, 10, 2, (2016)
  • [32] Zhu W., Zhang Q., Ding X.L., Et al., Landslide Monitoring by Combining of CR-InSAR and GPS Techniques, Advances in Space Research, 53, 3, pp. 430-439, (2014)