Analyzing the formation mechanism of the Xuyong landslide, Sichuan province, China, and emergency monitoring based on multiple remote sensing platform techniques

In this study, multitemporal satellite images, unmanned aerial vehicle (UAV) photogrammetry and ground-based radar were utilized to investigate the formation mechanism and disaster features of different phases of the Xuyong landslide disaster that occurred in Sichuan Province on December 9, 2018. Fi...

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Main Authors: Yi Luo, Wenliang Jiang, Bingquan Li, Qisong Jiao, Yongsheng Li, Qiang Li, Jingfa Zhang
Format: Article
Language:English
Published: Taylor & Francis Group 2020-01-01
Series:Geomatics, Natural Hazards & Risk
Subjects:
Online Access:http://dx.doi.org/10.1080/19475705.2020.1745903
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spelling doaj-c0cd913345a84b74938bb0fa603ead172021-01-04T18:02:34ZengTaylor & Francis GroupGeomatics, Natural Hazards & Risk1947-57051947-57132020-01-0111165467710.1080/19475705.2020.17459031745903Analyzing the formation mechanism of the Xuyong landslide, Sichuan province, China, and emergency monitoring based on multiple remote sensing platform techniquesYi Luo0Wenliang Jiang1Bingquan Li2Qisong Jiao3Yongsheng Li4Qiang Li5Jingfa Zhang6Institute of Crustal Dynamics, China Earthquake AdministrationInstitute of Crustal Dynamics, China Earthquake AdministrationInstitute of Crustal Dynamics, China Earthquake AdministrationInstitute of Crustal Dynamics, China Earthquake AdministrationInstitute of Crustal Dynamics, China Earthquake AdministrationInstitute of Crustal Dynamics, China Earthquake AdministrationInstitute of Crustal Dynamics, China Earthquake AdministrationIn this study, multitemporal satellite images, unmanned aerial vehicle (UAV) photogrammetry and ground-based radar were utilized to investigate the formation mechanism and disaster features of different phases of the Xuyong landslide disaster that occurred in Sichuan Province on December 9, 2018. Field survey indicates that the estimated landslide volume is approximately 35000 m3. The landslide is a typical dualistic soil-rock structural landslide with bedding planes. The sliding surface is located in a thin layer of limestone which is characterized by the X-shaped conjugate joint planes. The steep slope has been cut and transformed by human disturbances, which have influenced the slope stability and the drainage of precipitation along the slope. Many factors, including the regional geological structure, stratum lithology, slope topography, landform morphology, and precipitation, have contributed to the Xuyong landslide during the pre-disaster phase. Post-disaster emergency observation revealed that subsequent deformation was located mainly along the back edge of the landslide, where the maximum surficial deformation reached only 18 mm/day over a small area, reflecting the low probability of a secondary landslide hazard. Our research provides significant guidelines for investigating potential landslide dangers in similar environments and for post-disaster emergency response using multiple remote sensing (RS) platforms.http://dx.doi.org/10.1080/19475705.2020.1745903xuyong landslideremote sensingformation mechanismpost-disaster deformationemergency response
collection DOAJ
language English
format Article
sources DOAJ
author Yi Luo
Wenliang Jiang
Bingquan Li
Qisong Jiao
Yongsheng Li
Qiang Li
Jingfa Zhang
spellingShingle Yi Luo
Wenliang Jiang
Bingquan Li
Qisong Jiao
Yongsheng Li
Qiang Li
Jingfa Zhang
Analyzing the formation mechanism of the Xuyong landslide, Sichuan province, China, and emergency monitoring based on multiple remote sensing platform techniques
Geomatics, Natural Hazards & Risk
xuyong landslide
remote sensing
formation mechanism
post-disaster deformation
emergency response
author_facet Yi Luo
Wenliang Jiang
Bingquan Li
Qisong Jiao
Yongsheng Li
Qiang Li
Jingfa Zhang
author_sort Yi Luo
title Analyzing the formation mechanism of the Xuyong landslide, Sichuan province, China, and emergency monitoring based on multiple remote sensing platform techniques
title_short Analyzing the formation mechanism of the Xuyong landslide, Sichuan province, China, and emergency monitoring based on multiple remote sensing platform techniques
title_full Analyzing the formation mechanism of the Xuyong landslide, Sichuan province, China, and emergency monitoring based on multiple remote sensing platform techniques
title_fullStr Analyzing the formation mechanism of the Xuyong landslide, Sichuan province, China, and emergency monitoring based on multiple remote sensing platform techniques
title_full_unstemmed Analyzing the formation mechanism of the Xuyong landslide, Sichuan province, China, and emergency monitoring based on multiple remote sensing platform techniques
title_sort analyzing the formation mechanism of the xuyong landslide, sichuan province, china, and emergency monitoring based on multiple remote sensing platform techniques
publisher Taylor & Francis Group
series Geomatics, Natural Hazards & Risk
issn 1947-5705
1947-5713
publishDate 2020-01-01
description In this study, multitemporal satellite images, unmanned aerial vehicle (UAV) photogrammetry and ground-based radar were utilized to investigate the formation mechanism and disaster features of different phases of the Xuyong landslide disaster that occurred in Sichuan Province on December 9, 2018. Field survey indicates that the estimated landslide volume is approximately 35000 m3. The landslide is a typical dualistic soil-rock structural landslide with bedding planes. The sliding surface is located in a thin layer of limestone which is characterized by the X-shaped conjugate joint planes. The steep slope has been cut and transformed by human disturbances, which have influenced the slope stability and the drainage of precipitation along the slope. Many factors, including the regional geological structure, stratum lithology, slope topography, landform morphology, and precipitation, have contributed to the Xuyong landslide during the pre-disaster phase. Post-disaster emergency observation revealed that subsequent deformation was located mainly along the back edge of the landslide, where the maximum surficial deformation reached only 18 mm/day over a small area, reflecting the low probability of a secondary landslide hazard. Our research provides significant guidelines for investigating potential landslide dangers in similar environments and for post-disaster emergency response using multiple remote sensing (RS) platforms.
topic xuyong landslide
remote sensing
formation mechanism
post-disaster deformation
emergency response
url http://dx.doi.org/10.1080/19475705.2020.1745903
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