Published September 1, 2023 | Version Supplemental Material
Journal Article Open

The 21 July 2020 Shaziba landslide in China: Results from multi-source satellite remote sensing

  • 1. ROR icon Helmholtz Centre Potsdam - GFZ German Research Centre for Geosciences
  • 2. ROR icon Leibniz University Hannover
  • 3. ROR icon California Institute of Technology
  • 4. ROR icon Wuhan University
  • 5. ROR icon China University of Geosciences

Abstract

A catastrophic landslide occurred on 21 July 2020, 30 km from Enshi city, in Mazhe County of Hubei province, China. In this paper, we aimed to investigate the kinematic evolution and volumetric change related to this landslide using multi-source remote sensing measurements from synthetic aperture radar (SAR) and optical data. C-band Sentinel-1 and X-band TerraSAR-X SAR data are analyzed using several multi-temporal interferometry (MTI) time-series techniques including Persistent Scatterer Interferometry (PSI), Small Baseline subset (SBAS), and Combined eigenvalue maximum likelihood Phase Linking (CPL). The spatial pattern of surface deformation resulting from the interferometric analysis is then statistically analyzed to retrieve the pre-failure and post-failure displacements. Co-failure motions are analyzed using an image correlation technique applied to both the Planetscope and Sentinel-2 images. Moreover, 4 pairs of bistatic TerraSAR-X/TanDEM-X (TDX) data are utilized to generate high-precision digital elevation models (DEMs) and estimate the volumetric change related to the main slope failure. The pre-failure ground deformation analysis results suggest that the landslide was already active before the July 2020 failure, with the seasonality and hydraulic diffusivity being characteristics of a slow-moving landslide. Among the three different MTI methods applied, the CPL method results in a greater measurement points (MPs) density than the PSI and SBAS method when estimating the pre-failure movement of the Shaziba landslide. The July 2020 Shaziba disaster is divided into three main parts: (1) slightly horizontal deformation of 0.5–1.5 m within the northern part with ground and house cracks, (2) less collapse in the eastern part with horizontal motions reaching 30 m and (3) a highly eroded western part where vegetation was wholly lost in the main event, resulting in an collapse volume of approximately 4.98 million m³, out of which approximately around 3.4 million m³ was deposited and approximately 1.58 million m³ was washed away into the Qing River. After the failure, the marginal scrap of the main failure body, above crown of landslide and eastern part showed instability with rates of 20–30 mm/yr, suggesting that the failure zone may continue to expand.

Additional Information

© 2023 Elsevier Inc. The authors acknowledge the anonymous reviewers and the Editor for their constructive suggestions and comments. The TerraSAR-X and TanDEM-X DEM data are copyright German Aerospace Center (DLR) (proposals: motagh_GEO1916 & motagh_XTI_LAND6959). The Sentinel-1/2 datasets were freely provided by the European Space Agency (ESA) through the Sentinels Scientific Data Hub. The authors also acknowledge Dr. Changhu Xue and Dr. Zhuge Xia for constructive discussions. W.W. is supported by China Scholarship Council (CSC) Grant #202006450011. This work was partially sponsored by the National Natural Science Foundation of China (Grant No. 42074031 and No. 41907253), the Key Research and Development Program of Hubei Province (Grant No. 2021BCA219), and Helmholtz within the framework of HIP project MultiSaT4SLOWS. CRediT authorship contribution statement: Wandi Wang: Conceptualization, Methodology, Validation, Formal analysis, Investigation, Writing – original draft, Visualization. Mahdi Motagh: Conceptualization, Resources, Writing – review & editing, Supervision, Funding acquisition. Sara Mirzaee: Methodology, Writing – review & editing. Tao Li: Writing – review & editing, Supervision. Chao Zhou: Writing – review & editing, Supervision. Hui Tang: Writing – review & editing, Supervision. Sigrid Roessner: Writing – review & editing, Supervision. The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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Additional details

Identifiers

Eprint ID
122554
Resolver ID
CaltechAUTHORS:20230726-216909500.16

Funding

China Scholarship Council
202006450011
National Natural Science Foundation of China
42074031
National Natural Science Foundation of China
41907253
Key Research and Development Program of Hubei Province
2021BCA219
Helmholtz-Gemeinschaft Deutscher Forschungszentren (HGF)
MultiSaT4SLOWS

Dates

Created
2023-08-11
Created from EPrint's datestamp field
Updated
2023-08-14
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