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DOI | 10.1016/j.rse.2020.111695 |
Retrieval of historical surface displacements of the Baige landslide from time-series SAR observations for retrospective analysis of the collapse event | |
Li M.; Zhang L.; Ding C.; Li W.; Luo H.; Liao M.; Xu Q. | |
发表日期 | 2020 |
ISSN | 00344257 |
卷号 | 240 |
英文摘要 | Landslides and resultant barrier lakes are significant threats to human lives and infrastructures. Three-dimensional (3D) surface displacements can give vital clues to the exploration of internal structure of landslides, but they are difficult to be retrieved from spaceborne Synthetic Aperture Radar (SAR) observations due to the intrinsic limitation of SAR imaging geometry. Meanwhile, studies on predicting slope failure based on SAR-measured displacements are rarely seen. Here, we used SAR pixel offset tracking to investigate the Baige landslide before the collapse on 10 October 2018. 3D surface displacements retrieved by combining satellite SAR and optical observations revealed heterogeneous spatial patterns within the landslide complex. We observed linear secondary creep and accelerating tertiary creep prior to the failure from multi-sensor SAR data. The possibility of forecasting the failure was demonstrated by applying an inverse velocity method to the time-series displacements measured by Sentinel-1 during the tertiary creep, which is valuable for risk evaluation and disaster early warning. © 2020 Elsevier Inc. |
英文关键词 | 3D surface displacements; Baige landslide; Disaster early warning; Pixel offset tracking; Time-of-failure prediction; Time-series displacements |
语种 | 英语 |
scopus关键词 | Creep; Disasters; Forecasting; Inverse problems; Landslides; Pixels; Risk assessment; Surface measurement; Synthetic aperture radar; Time series; Time series analysis; 3D surface; Early warning; Failure prediction; Offset tracking; Retrospective analysis; Spaceborne synthetic aperture radars; Surface displacement; Three-dimensional (3D) surfaces; Space-based radar; collapse structure; displacement; early warning system; failure analysis; imaging method; landslide; observational method; pixel; prediction; satellite altimetry; satellite data; Sentinel; slope failure; spatial analysis; synthetic aperture radar; time series analysis; tracking |
来源期刊 | Remote Sensing of Environment |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/179418 |
作者单位 | State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, 430079, China; State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu, 610059, China |
推荐引用方式 GB/T 7714 | Li M.,Zhang L.,Ding C.,et al. Retrieval of historical surface displacements of the Baige landslide from time-series SAR observations for retrospective analysis of the collapse event[J],2020,240. |
APA | Li M..,Zhang L..,Ding C..,Li W..,Luo H..,...&Xu Q..(2020).Retrieval of historical surface displacements of the Baige landslide from time-series SAR observations for retrospective analysis of the collapse event.Remote Sensing of Environment,240. |
MLA | Li M.,et al."Retrieval of historical surface displacements of the Baige landslide from time-series SAR observations for retrospective analysis of the collapse event".Remote Sensing of Environment 240(2020). |
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