气候变化领域集成服务门户(CCPortal): Displacement history and potential triggering factors of Baige landslides, China revealed by optical imagery time series

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DOI	10.1016/j.rse.2020.112253
	Displacement history and potential triggering factors of Baige landslides, China revealed by optical imagery time series
	Ding C.; Feng G.; Liao M.; Tao P.; Zhang L.; Xu Q.
发表日期	2021
ISSN	00344257
卷号	254
英文摘要	In this study, on the basis of the image correlation technique and the time-series images of Landsat-8 (L8), Sentinel-2 (S2), and GaoFen-2 (GF2), a systematic technical process is designed to investigate the precursory displacement evolution of two successive slope failures occurred in Baige Village, China on Oct. 11, 2018 and Nov. 3, 2018. An innovative fusion strategy is proposed to investigate the displacement history of the Oct. 11, 2018 Baige landslide, which has two steps: (1) selecting the optimal correlation window size and search step to eliminate the inconsistency of image correlation for different sensors, and (2) inverting the fused displacement time-series from correlation results to enhance the temporal sampling density. The normalized displacement velocity indicates that the Oct. 11, 2018 Baige landslide is characterized by high-speed sliding (28 m/yr) and high shear outlet with an average elevation difference of around 82 m. The fused displacement time series indicates that the whole phase transformation can be from the secondary stage to the tertiary stage on Mar. 26, 2017. Furthermore, the displacement velocity shows four quiescence phases in the secondary stage and two acceleration phases in the tertiary stage. The seasonal precipitation is assumed as the main external triggering factor, and it combined with the brittle geological material attributes to control the precursory landslide displacement evolution and caused the catastrophic slope failure on Oct. 11, 2018. The precursory displacement signals with a magnitude above 5 m/day of the second landslide (Nov. 3, 2018) is quantified by the S2 image correlation. This study highlights the prospects of optical observation time series with medium-/high-resolution in detecting and quantifying the spatio-temporal evolution characteristics of long-term creeping landslides which may play a significant role in the early warning of the catastrophic slope failure. © 2020 Elsevier Inc.
英文关键词	Baige landslides; Displacement history; Image correlation; Time-series inversion; Triggering factors
语种	英语
scopus关键词	Image analysis; Landslides; Shear flow; Time series; Displacement signals; Displacement time series; Displacement velocity; Image correlation techniques; Normalized displacements; Optical observations; Seasonal precipitations; Spatiotemporal evolution; Image enhancement; correlation; imagery; imaging method; Landsat; landslide; Sentinel; slope failure; spatiotemporal analysis; time series; China
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/178995
作者单位	State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, 430079, China; School of Geosciences and Info-Physics, Central South University, Changsha, 410083, China; School of Remote Sensing and Information Engineering, 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	Ding C.,Feng G.,Liao M.,et al. Displacement history and potential triggering factors of Baige landslides, China revealed by optical imagery time series[J],2021,254.
APA	Ding C.,Feng G.,Liao M.,Tao P.,Zhang L.,&Xu Q..(2021).Displacement history and potential triggering factors of Baige landslides, China revealed by optical imagery time series.Remote Sensing of Environment,254.
MLA	Ding C.,et al."Displacement history and potential triggering factors of Baige landslides, China revealed by optical imagery time series".Remote Sensing of Environment 254(2021).