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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MDPI AG
2024-12-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/16/24/4689 |
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| author | Yinghui Yang Qian Xu Liyuan Xie Qiang Xu Jyr-Ching Hu Qiang Chen |
| author_facet | Yinghui Yang Qian Xu Liyuan Xie Qiang Xu Jyr-Ching Hu Qiang Chen |
| author_sort | Yinghui Yang |
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| description | 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 × 10<sup>7</sup> m<sup>3</sup>. 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. |
| format | Article |
| id | doaj-art-8ef4901cc4dd420daf652f48be4a54f7 |
| institution | Kabale University |
| issn | 2072-4292 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
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| series | Remote Sensing |
| spelling | doaj-art-8ef4901cc4dd420daf652f48be4a54f72024-12-27T14:50:54ZengMDPI AGRemote Sensing2072-42922024-12-011624468910.3390/rs16244689Landslide Thickness Estimated from InSAR-Derived 2D Deformation: Application to the Xiongba Ancient Landslide, ChinaYinghui Yang0Qian Xu1Liyuan Xie2Qiang Xu3Jyr-Ching Hu4Qiang Chen5State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, ChinaCollege of Air Traffic Management, Civil Aviation Flight University of China, Deyang 618307, ChinaState Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, ChinaState Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, ChinaDepartment of Geosciences, National Taiwan University, Taipei 106319, TaiwanDepartment of Remote Sensing and Geoinformation Engineering, Southwest Jiaotong University, Chengdu 611756, ChinaThe 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 × 10<sup>7</sup> m<sup>3</sup>. 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.https://www.mdpi.com/2072-4292/16/24/4689InSAR-derived 2D deformationimproved mass conservation methodlandslide thicknessrheological parameterXiongba landslide |
| spellingShingle | Yinghui Yang Qian Xu Liyuan Xie Qiang Xu Jyr-Ching Hu Qiang Chen Landslide Thickness Estimated from InSAR-Derived 2D Deformation: Application to the Xiongba Ancient Landslide, China Remote Sensing InSAR-derived 2D deformation improved mass conservation method landslide thickness rheological parameter Xiongba landslide |
| title | Landslide Thickness Estimated from InSAR-Derived 2D Deformation: Application to the Xiongba Ancient Landslide, China |
| title_full | Landslide Thickness Estimated from InSAR-Derived 2D Deformation: Application to the Xiongba Ancient Landslide, China |
| title_fullStr | Landslide Thickness Estimated from InSAR-Derived 2D Deformation: Application to the Xiongba Ancient Landslide, China |
| title_full_unstemmed | Landslide Thickness Estimated from InSAR-Derived 2D Deformation: Application to the Xiongba Ancient Landslide, China |
| title_short | Landslide Thickness Estimated from InSAR-Derived 2D Deformation: Application to the Xiongba Ancient Landslide, China |
| title_sort | landslide thickness estimated from insar derived 2d deformation application to the xiongba ancient landslide china |
| topic | InSAR-derived 2D deformation improved mass conservation method landslide thickness rheological parameter Xiongba landslide |
| url | https://www.mdpi.com/2072-4292/16/24/4689 |
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