Investigation of Slow-Moving Artificial Slope Failure with Multi-Temporal InSAR by Combining Persistent and Distributed Scatterers: A Case Study in Northern Taiwan
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 o...
Main Authors: | , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-07-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/12/15/2403 |
id |
doaj-aa803b5fcb7041f097015f7db7393abf |
---|---|
record_format |
Article |
spelling |
doaj-aa803b5fcb7041f097015f7db7393abf2020-11-25T03:04:12ZengMDPI AGRemote Sensing2072-42922020-07-01122403240310.3390/rs12152403Investigation of Slow-Moving Artificial Slope Failure with Multi-Temporal InSAR by Combining Persistent and Distributed Scatterers: A Case Study in Northern TaiwanHongyu Liang0Xin Li1Lei Zhang2Rou-Fei Chen3Xiaoli Ding4Kuo-Long Chen5Chi-Shan Wang6Chia-Shin Chang7Chien-Yu Chi8Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong 999077, ChinaState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100049, ChinaDepartment of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong 999077, ChinaDepartment of Geology, Chinese Culture University, Taipei 11114, TaiwanDepartment of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong 999077, ChinaFreeway Bureau, MOTC, Taipei 243083, TaiwanNorthern Region Branch Office, Freeway Bureau, MOTC, Taipei 243083, TaiwanDepartment of Geotechnical Engineering CECI Engineering Consultants, Inc., Taipei 243083 TaiwanDepartment of Geotechnical Engineering CECI Engineering Consultants, Inc., Taipei 243083 TaiwanIn 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.https://www.mdpi.com/2072-4292/12/15/2403artificial slopelandslide hazardsmultitemporal InSAR (MTInSAR)phase estimation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Hongyu Liang Xin Li Lei Zhang Rou-Fei Chen Xiaoli Ding Kuo-Long Chen Chi-Shan Wang Chia-Shin Chang Chien-Yu Chi |
spellingShingle |
Hongyu Liang Xin Li Lei Zhang Rou-Fei Chen Xiaoli Ding Kuo-Long Chen Chi-Shan Wang Chia-Shin Chang Chien-Yu Chi 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 artificial slope landslide hazards multitemporal InSAR (MTInSAR) phase estimation |
author_facet |
Hongyu Liang Xin Li Lei Zhang Rou-Fei Chen Xiaoli Ding Kuo-Long Chen Chi-Shan Wang Chia-Shin Chang Chien-Yu Chi |
author_sort |
Hongyu Liang |
title |
Investigation of Slow-Moving Artificial Slope Failure with Multi-Temporal InSAR by Combining Persistent and Distributed Scatterers: A Case Study in Northern Taiwan |
title_short |
Investigation of Slow-Moving Artificial Slope Failure with Multi-Temporal InSAR by Combining Persistent and Distributed Scatterers: A Case Study in Northern Taiwan |
title_full |
Investigation of Slow-Moving Artificial Slope Failure with Multi-Temporal InSAR by Combining Persistent and Distributed Scatterers: A Case Study in Northern Taiwan |
title_fullStr |
Investigation of Slow-Moving Artificial Slope Failure with Multi-Temporal InSAR by Combining Persistent and Distributed Scatterers: A Case Study in Northern Taiwan |
title_full_unstemmed |
Investigation of Slow-Moving Artificial Slope Failure with Multi-Temporal InSAR by Combining Persistent and Distributed Scatterers: A Case Study in Northern Taiwan |
title_sort |
investigation of slow-moving artificial slope failure with multi-temporal insar by combining persistent and distributed scatterers: a case study in northern taiwan |
publisher |
MDPI AG |
series |
Remote Sensing |
issn |
2072-4292 |
publishDate |
2020-07-01 |
description |
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. |
topic |
artificial slope landslide hazards multitemporal InSAR (MTInSAR) phase estimation |
url |
https://www.mdpi.com/2072-4292/12/15/2403 |
work_keys_str_mv |
AT hongyuliang investigationofslowmovingartificialslopefailurewithmultitemporalinsarbycombiningpersistentanddistributedscatterersacasestudyinnortherntaiwan AT xinli investigationofslowmovingartificialslopefailurewithmultitemporalinsarbycombiningpersistentanddistributedscatterersacasestudyinnortherntaiwan AT leizhang investigationofslowmovingartificialslopefailurewithmultitemporalinsarbycombiningpersistentanddistributedscatterersacasestudyinnortherntaiwan AT roufeichen investigationofslowmovingartificialslopefailurewithmultitemporalinsarbycombiningpersistentanddistributedscatterersacasestudyinnortherntaiwan AT xiaoliding investigationofslowmovingartificialslopefailurewithmultitemporalinsarbycombiningpersistentanddistributedscatterersacasestudyinnortherntaiwan AT kuolongchen investigationofslowmovingartificialslopefailurewithmultitemporalinsarbycombiningpersistentanddistributedscatterersacasestudyinnortherntaiwan AT chishanwang investigationofslowmovingartificialslopefailurewithmultitemporalinsarbycombiningpersistentanddistributedscatterersacasestudyinnortherntaiwan AT chiashinchang investigationofslowmovingartificialslopefailurewithmultitemporalinsarbycombiningpersistentanddistributedscatterersacasestudyinnortherntaiwan AT chienyuchi investigationofslowmovingartificialslopefailurewithmultitemporalinsarbycombiningpersistentanddistributedscatterersacasestudyinnortherntaiwan |
_version_ |
1724682364328607744 |