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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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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