Landslide Thickness Estimated from InSAR-Derived 2D Deformation: Application to the Xiongba Ancient Landslide, China

The thickness estimation of landslides is crucial for better landslide evaluation. Traditional non-contact mass conservation methods using 3D deformation may be unsuitable due to observation limitations. This study proposes a more feasible approach based on 2D deformation from two-track Interferomet...

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Bibliographic Details
Published in:Remote sensing (Basel, Switzerland) Switzerland), 2024-12, Vol.16 (24), p.4689
Main Authors: Yang, Yinghui, Xu, Qian, Xie, Liyuan, Xu, Qiang, Hu, Jyr-Ching, Chen, Qiang
Format: Article
Language:English
Subjects:
Accuracy
Artificial satellites in remote sensing
China
Deformation
Deformation analysis
Drilling
Geology
Hazard assessment
improved mass conservation method
InSAR-derived 2D deformation
Interferometric synthetic aperture radar
landslide thickness
Landslides
Landslides & mudslides
Methods
Radar
rheological parameter
Rheology
Synthetic aperture radar
Thickness
Topography
Velocity
Xiongba landslide
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Summary:The thickness estimation of landslides is crucial for better landslide evaluation. Traditional non-contact mass conservation methods using 3D deformation may be unsuitable due to observation limitations. This study proposes a more feasible approach based on 2D deformation from two-track Interferometric Synthetic Aperture Radar (InSAR) observations, applied to the Xiongba landslide. The comparison with geological and drilling measurements confirms the reliability of this method. The mapped InSAR LOS deformation rate fields reveal two regions: a significantly deformed frontal zone and a relatively stable zone. Analysis suggests that surface uplift at the Xiongba-H2 landslide’s front edge results from rock–soil mass pushing in high-deformation areas. The estimated thickness ranges from 10 to 100 m, with an active volume of 6.17 × 107 m3. A thicker region is identified at the front edge along the Jinsha River, posing the potential for further failure. This low-cost, easily implemented approach enhances InSAR’s applicability for landslide analysis and hazard assessment.
ISSN:2072-4292
2072-4292
DOI:10.3390/rs16244689