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
来源：
Diqiu Kexue - Zhongguo Dizhi Daxue Xuebao/Earth Science - Journal of China University of Geosciences | 2019年 / 44卷 / 12期
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.
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收藏
页码：4284 / 4292
页数：8
相关论文
共 32 条
  • [1] Berardino P., Fornaro G., Lanari R., Et al., A New Algorithm for Surface Deformation Monitoring Based on Small Baseline Differential SAR Interferograms, IEEE Transactions on Geoscience and Remote Sensing, 40, 11, pp. 2375-2383, (2002)
  • [2] Chen Q., Cheng H.Q., Yang Y.H., Et al., Quantification of Mass Wasting Volume Associated with the Giant Landslide Daguangbao Induced by the 2008 Wenchuan Earthquake from Persistent Scatterer InSAR, Remote Sensing of Environment, 152, pp. 125-135, (2014)
  • [3] Dai Z.W., Yin Y.P., Wei Y.J., Et al., Deformation and Failure Mechanism of Outang Landslide in Three Gorges Reservoir Area, Journal of Engineering Geology, 24, 1, pp. 44-55, (2016)
  • [4] Deledalle C.A., Denis L., Tupin F., NL-InSAR: Nonlocal Interferogram Estimation, IEEE Transactions on Geoscience and Remote Sensing, 49, 4, pp. 1441-1452, (2011)
  • [5] Ding J.X., Yang Z.F., Shang Y.J., Et al., New Method of Predicting Rainfall-Induced Lanslides, Science in China (Series D), 36, 6, pp. 579-586, (2006)
  • [6] Dong J., Zhang L., Li M.H., Et al., Measuring Precursory Movements of the Recent Xinmo Landslide in Mao County, China with Sentinel-1 and ALOS-2 PALSAR-2 Datasets, Landslides, 15, 1, pp. 135-144, (2018)
  • [7] Dong J., Zhang L., Tang M.G., Et al., Mapping Landslide Surface Displacements with Time Series SAR Interferometry by Combining Persistent and Distributed Scatterers: A Case Study of Jiaju Landslide in Danba, China, Remote Sensing of Environment, 205, pp. 180-198, (2018)
  • [8] Ferretti A., Fumagalli A., Novali F., Et al., A New Algorithm for Processing Interferometric Data-Stacks: SqueeSAR, IEEE Transactions on Geoscience and Remote Sensing, 49, 9, pp. 3460-3470, (2011)
  • [9] Ferretti A., Prati C., Rocca F., Nonlinear Subsidence Rate Estimation Using Permanent Scatterers in Differential SAR Interferometry, IEEE Transactions on Geoscience and Remote Sensing, 38, 5, pp. 2202-2212, (2000)
  • [10] Ferretti A., Prati C., Rocca F., Permanent Scatterers in SAR Interferometry, IEEE Transactions on Geoscience and Remote Sensing, 39, 1, pp. 8-20, (2001)
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