TY - JOUR

T1 - The June 2020 Aniangzhai landslide in Sichuan Province, Southwest China

T2 - slope instability analysis from radar and optical satellite remote sensing data

AU - Xia, Zhuge

AU - Motagh, Mahdi

AU - Li, Tao

AU - Roessner, Sigrid

N1 - Funding Information: The authors acknowledged the Copernicus programme gratefully for the free access to Sentinel-1 and Sentinel-2 data. Landsat 8 and MODIS MCD43A4 collections are courtesy of the U.S. Geological Survey (USGS). Many thanks to Dr. Mahmud Haghshenas Haghighi for supporting us in the COSI-Corr analysis and Dr. Jie Liu for supporting the fieldwork. We also thank two anonymous reviewers for their very constructive comments, which greatly improved the quality of the original manuscript. Z.X. is supported by China Scholarship Council (CSC) Grant #201908080048. This project was supported by the National Natural Science Foundation of China (NSFC) (No.42074031), “Seed Fund Program for Sino-foreign Joint Scientific Research Platform of Wuhan University” (No. KYPT–PY-11), and Helmholtz Imaging Platform (project: MultiSat4SLOWS).

PY - 2022/2

Y1 - 2022/2

N2 - A large, deep-seated ancient landslide was partially reactivated on 17 June 2020 close to the Aniangzhai village of Danba County in Sichuan Province of Southwest China. It was initiated by undercutting of the toe of this landslide resulting from increased discharge of the Xiaojinchuan River caused by the failure of a landslide dam, which had been created by the debris flow originating from the Meilong valley. As a result, 12 townships in the downstream area were endangered leading to the evacuation of more than 20000 people. This study investigated the Aniangzhai landslide area by optical and radar satellite remote sensing techniques. A horizontal displacement map produced using cross-correlation of high-resolution optical images from Planet shows a maximum horizontal motion of approximately 15 meters for the slope failure between the two acquisitions. The undercutting effects on the toe of the landslide are clearly revealed by exploiting optical data and field surveys, indicating the direct influence of the overflow from the landslide dam and water release from a nearby hydropower station on the toe erosion. Pre-disaster instability analysis using a stack of SAR data from Sentinel-1 between 2014 and 2020 suggests that the Aniangzhai landslide has long been active before the failure, with the largest annual LOS deformation rate more than 50 mm/yr. The 3-year wet period that followed a relative drought year in 2016 resulted in a 14% higher average velocity in 2018–2020, in comparison to the rate in 2014–2017. A detailed analysis of slope surface kinematics in different parts of the landslide indicates that temporal changes in precipitation are mainly correlated with kinematics of motion at the head part of the failure body, where an accelerated creep is observed since spring 2020 before the large failure. Overall, this study provides an example of how full exploitation of optical and radar satellite remote sensing data can be used for a comprehensive analysis of destabilization and reactivation of an ancient landslide in response to a complex cascading event chain in the transition zone between the Qinghai-Tibetan Plateau and the Sichuan Basin.

AB - A large, deep-seated ancient landslide was partially reactivated on 17 June 2020 close to the Aniangzhai village of Danba County in Sichuan Province of Southwest China. It was initiated by undercutting of the toe of this landslide resulting from increased discharge of the Xiaojinchuan River caused by the failure of a landslide dam, which had been created by the debris flow originating from the Meilong valley. As a result, 12 townships in the downstream area were endangered leading to the evacuation of more than 20000 people. This study investigated the Aniangzhai landslide area by optical and radar satellite remote sensing techniques. A horizontal displacement map produced using cross-correlation of high-resolution optical images from Planet shows a maximum horizontal motion of approximately 15 meters for the slope failure between the two acquisitions. The undercutting effects on the toe of the landslide are clearly revealed by exploiting optical data and field surveys, indicating the direct influence of the overflow from the landslide dam and water release from a nearby hydropower station on the toe erosion. Pre-disaster instability analysis using a stack of SAR data from Sentinel-1 between 2014 and 2020 suggests that the Aniangzhai landslide has long been active before the failure, with the largest annual LOS deformation rate more than 50 mm/yr. The 3-year wet period that followed a relative drought year in 2016 resulted in a 14% higher average velocity in 2018–2020, in comparison to the rate in 2014–2017. A detailed analysis of slope surface kinematics in different parts of the landslide indicates that temporal changes in precipitation are mainly correlated with kinematics of motion at the head part of the failure body, where an accelerated creep is observed since spring 2020 before the large failure. Overall, this study provides an example of how full exploitation of optical and radar satellite remote sensing data can be used for a comprehensive analysis of destabilization and reactivation of an ancient landslide in response to a complex cascading event chain in the transition zone between the Qinghai-Tibetan Plateau and the Sichuan Basin.

KW - Cross-correlation

KW - Landslide

KW - Multi-temporal InSAR (MTI)

KW - NDVI

KW - Satellite remote sensing

KW - Sentinel-1/2

KW - Slope failure

UR - http://www.scopus.com/inward/record.url?scp=85120164215&partnerID=8YFLogxK

U2 - 10.1007/s10346-021-01777-4

DO - 10.1007/s10346-021-01777-4

M3 - Article

AN - SCOPUS:85120164215

VL - 19

SP - 313

EP - 329

JO - LANDSLIDES

JF - LANDSLIDES

SN - 1612-510X

IS - 2

ER -