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Article

Long-Term and Emergency Monitoring of Zhongbao Landslide Using Space-Borne and Ground-Based InSAR

1
Beijing Institute of Technology Chongqing Innovation Center, Chongqing 401135, China
2
Chongqing Key Laboratory of Geological Environment Monitoring and Disaster Early-Warning in Three Gorges Reservoir Area, Chongqing Three Gorges University, Chongqing 404000, China
3
Radar Research Lab, School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China
4
Chongqing Institute of Geology and Mineral Resources, Chongqing 400042, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2021, 13(8), 1578; https://doi.org/10.3390/rs13081578
Submission received: 22 March 2021 / Revised: 14 April 2021 / Accepted: 17 April 2021 / Published: 19 April 2021
(This article belongs to the Special Issue Remote Sensing for Landslide Monitoring, Mapping and Modeling)

Abstract

This work presents the ideal combination of space-borne and ground-based (GB) Interferometric Synthetic Aperture Radar (InSAR) applications. In the absence of early investigation reporting and specialized monitoring, the Zhongbao landslide unexpectedly occurred on 25 July 2020, forming a barrier lake that caused an emergency. As an emergency measure, the GB-InSAR system was installed 1.8 km opposite the landslide to assess real-time cumulative deformation with a monitoring frequency of 3 min. A zone of strong deformation was detected, with 178 mm deformation accumulated within 15 h, and then a successful emergency warning was issued to evacuate on-site personnel. Post-event InSAR analysis of 19 images acquired by the ESA Sentinel-1 from December 2019 to August 2020 revealed that the landslide started in March 2020. However, the deformation time series obtained from satellite InSAR did not show any signs that the landslide had occurred. The results suggest that satellite InSAR is effective for mapping unstable areas but is not qualified for rapid landslide monitoring and timely warning. The GB-InSAR system performs well in monitoring and providing early warning, even with dense vegetation on the landslide. The results show the shortcomings of satellite InSAR and GB-InSAR and a clearer understanding of the necessity of combining multiple monitoring methods.
Keywords: landslide; emergency; Interferometric Synthetic Aperture Radar; space-borne; ground-based landslide; emergency; Interferometric Synthetic Aperture Radar; space-borne; ground-based

Share and Cite

MDPI and ACS Style

Xiao, T.; Huang, W.; Deng, Y.; Tian, W.; Sha, Y. Long-Term and Emergency Monitoring of Zhongbao Landslide Using Space-Borne and Ground-Based InSAR. Remote Sens. 2021, 13, 1578. https://doi.org/10.3390/rs13081578

AMA Style

Xiao T, Huang W, Deng Y, Tian W, Sha Y. Long-Term and Emergency Monitoring of Zhongbao Landslide Using Space-Borne and Ground-Based InSAR. Remote Sensing. 2021; 13(8):1578. https://doi.org/10.3390/rs13081578

Chicago/Turabian Style

Xiao, Ting, Wei Huang, Yunkai Deng, Weiming Tian, and Yonglian Sha. 2021. "Long-Term and Emergency Monitoring of Zhongbao Landslide Using Space-Borne and Ground-Based InSAR" Remote Sensing 13, no. 8: 1578. https://doi.org/10.3390/rs13081578

APA Style

Xiao, T., Huang, W., Deng, Y., Tian, W., & Sha, Y. (2021). Long-Term and Emergency Monitoring of Zhongbao Landslide Using Space-Borne and Ground-Based InSAR. Remote Sensing, 13(8), 1578. https://doi.org/10.3390/rs13081578

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