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Investigation of Slow-Moving Artificial Slope Failure with Multi-Temporal InSAR by Combining Persistent and Distributed Scatterers: A Case Study in Northern Taiwan

文献类型：期刊论文

作者Liang, Hongyu2; Li, Xin3; Zhang, Lei2; Chen, Rou-Fei4; Ding, Xiaoli2; Chen, Kuo-Long5; Wang, Chi-Shan1; Chang, Chia-Shin6; Chi, Chien-Yu6
刊名REMOTE SENSING
出版日期2020-08-01
卷号12期号:15页码:19
关键词artificial slope landslide hazards multitemporal InSAR (MTInSAR) phase estimation
DOI10.3390/rs12152403
通讯作者Li, Xin(lixin8@igsnrr.ac.cn) ; Chen, Rou-Fei(roufei@earth.sinica.edu.tw)
英文摘要In Taiwan, landslides pose serious threats to local residents and infrastructures each year due to high mountain relief and distinct seasonal precipitation distribution. Interferometric synthetic aperture (InSAR) provides a powerful tool to map terrain motion and characterize the failure mechanism of unstable slopes. However, it is challenging for the conventional InSAR technique to obtain reliable landslide information in mountainous regions because of insufficient coherent measurements and signal confusion caused by vegetation coverage and rugged terrain. In this study, we adopt an optimized multi-temporal InSAR (MTInSAR) approach to analyze the surface displacement of an artificial side slope along Freeway No. 3, where a catastrophic landslide failure occurred on 25 April 2010, in northern Taiwan. To increase the spatial extent of the deformation signal, we integrate information from both persistent scatterers (PSs) and distributed scatterers (DSs). Topographic residual and height-dependent atmospheric delays are corrected by a component-based method and joint model estimation, respectively. The results reveal the existence of slope movement with a rate of about -30 mm/year prior to the landslide failure. Further analysis shows that the temporal behaviors of downslope movement are correlated with local precipitation. The study demonstrates the need to continuously monitor and verify the stability of artificial slopes to prevent and minimize the probability of a similar landslide occurrence in the future.
WOS关键词SAR INTERFEROMETRY ; LANDSLIDE ; DEFORMATION ; FLOW ; CALIFORNIA ; ALGORITHM ; MOVEMENT ; RAINFALL ; HISTORY
资助项目China Postdoctoral Science Foundation[2019M650830] ; National Natural Science Foundation of China[41774023] ; Research Grants Council (RGC) of the Hong Kong Special Administrative Region[PolyU 152232/17E] ; Research Grants Council (RGC) of the Hong Kong Special Administrative Region[PolyU 152164/18E] ; CECI Engineering Consultants, Inc. RD plan 2019[08923] ; [MOST-108-2116-M-034-004-]
WOS研究方向Remote Sensing
语种英语
WOS记录号WOS:000567359800001
出版者MDPI
资助机构China Postdoctoral Science Foundation ; National Natural Science Foundation of China ; Research Grants Council (RGC) of the Hong Kong Special Administrative Region ; CECI Engineering Consultants, Inc. RD plan 2019
源URL[http://ir.igsnrr.ac.cn/handle/311030/156815]  
专题中国科学院地理科学与资源研究所
通讯作者Li, Xin; Chen, Rou-Fei
作者单位1.Freeway Bur, MOTC, Northern Reg Branch Oce, Taipei 114027, Taiwan
2.Hong Kong Polytech Univ, Dept Land Surveying & Geoinformat, Hung Hom, Kowloon, Hong Kong 999077, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100049, Peoples R China
4.Chinese Culture Univ, Dept Geol, Taipei 11114, Taiwan
5.MOTC, Freeway Bur, Taipei 243083, Taiwan
6.CECI Engn Consultants Inc, Dept Geotech Engn, Taipei 11491, Taiwan
推荐引用方式
GB/T 7714		 Liang, Hongyu,Li, Xin,Zhang, Lei,et al. Investigation of Slow-Moving Artificial Slope Failure with Multi-Temporal InSAR by Combining Persistent and Distributed Scatterers: A Case Study in Northern Taiwan[J]. REMOTE SENSING,2020,12(15):19.
APA Liang, Hongyu.,Li, Xin.,Zhang, Lei.,Chen, Rou-Fei.,Ding, Xiaoli.,...&Chi, Chien-Yu.(2020).Investigation of Slow-Moving Artificial Slope Failure with Multi-Temporal InSAR by Combining Persistent and Distributed Scatterers: A Case Study in Northern Taiwan.REMOTE SENSING,12(15),19.
MLA Liang, Hongyu,et al."Investigation of Slow-Moving Artificial Slope Failure with Multi-Temporal InSAR by Combining Persistent and Distributed Scatterers: A Case Study in Northern Taiwan".REMOTE SENSING 12.15(2020):19.

入库方式： OAI收割

来源：地理科学与资源研究所

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