InSAR-Based Active Landslide Detection and Characterization Along the Upper Reaches of the Yellow River
Landslides have attracted extensive attention and research worldwide because of their tremendous destructiveness, and many catastrophic landslides have occurred along river corridors and reservoir bank slopes. The detection and detailed monitoring of potential landslides are prerequisites for landsl...
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10087258/ |
| _version_ | 1797843374931181568 |
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| author | Jiantao Du Zhenhong Li Chuang Song Wu Zhu Yiqi Ji Chenglong Zhang Bo Chen Shengrui Su |
| author_facet | Jiantao Du Zhenhong Li Chuang Song Wu Zhu Yiqi Ji Chenglong Zhang Bo Chen Shengrui Su |
| author_sort | Jiantao Du |
| collection | DOAJ |
| description | Landslides have attracted extensive attention and research worldwide because of their tremendous destructiveness, and many catastrophic landslides have occurred along river corridors and reservoir bank slopes. The detection and detailed monitoring of potential landslides are prerequisites for landslide disaster prevention, with recent advance in spaceborne Interferometric Synthetic Aperture Radar (InSAR) having effectively addressed this challenge. In this article, a wide-area landslide detection and monitoring framework, combining multiple InSAR techniques, is proposed to investigate active landslides along the upper reaches of the Yellow River from Longyang Gorge to Liujia Gorge (UYRLL), north-west China. A total of 597 active landslides have been mapped in this region for the first time. Our analyses suggest that a large percentage of the detected landslides are distributed at an elevation of 2000–3000 m with slope angles of 5–30° and their spatial distribution density is correlated with regional tectonic activity. Multitemporal InSAR techniques have also been adopted to analyze the surface motion characteristics of two typical landslides (i.e., the Lijia landslide and the Xijitan landslide), showing that these two landslides are dominated by linear motion. The landslide movements also contain slight nonlinear oscillations, inferred from wavelet analysis to be associated with reservoir water area changes and seasonal rainfall. The proposed framework herein can be extended to the detection and monitoring of active landslides in other areas with similar geomorphic features, and the above findings on landslide characteristics can also contribute to landslide prevention and mitigation in the upper Yellow River area. |
| first_indexed | 2024-04-09T17:04:08Z |
| format | Article |
| id | doaj.art-6559088bf01146b394bd89e6d42be59e |
| institution | Directory Open Access Journal |
| issn | 2151-1535 |
| language | English |
| last_indexed | 2024-04-09T17:04:08Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| spelling | doaj.art-6559088bf01146b394bd89e6d42be59e2023-04-20T23:00:14ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing2151-15352023-01-01163819383010.1109/JSTARS.2023.326300310087258InSAR-Based Active Landslide Detection and Characterization Along the Upper Reaches of the Yellow RiverJiantao Du0Zhenhong Li1https://orcid.org/0000-0002-8054-7449Chuang Song2Wu Zhu3Yiqi Ji4https://orcid.org/0000-0002-8885-9252Chenglong Zhang5Bo Chen6Shengrui Su7College of Geological Engineering and Geomatics, Chang'an University, Xi'an, ChinaCollege of Geological Engineering and Geomatics, Chang'an University, Xi'an, ChinaCollege of Geological Engineering and Geomatics, Chang'an University, Xi'an, ChinaCollege of Geological Engineering and Geomatics, Chang'an University, Xi'an, ChinaCollege of Geological Engineering and Geomatics, Chang'an University, Xi'an, ChinaCollege of Geological Engineering and Geomatics, Chang'an University, Xi'an, ChinaCollege of Geological Engineering and Geomatics, Chang'an University, Xi'an, ChinaCollege of Geological Engineering and Geomatics, Chang'an University, Xi'an, ChinaLandslides have attracted extensive attention and research worldwide because of their tremendous destructiveness, and many catastrophic landslides have occurred along river corridors and reservoir bank slopes. The detection and detailed monitoring of potential landslides are prerequisites for landslide disaster prevention, with recent advance in spaceborne Interferometric Synthetic Aperture Radar (InSAR) having effectively addressed this challenge. In this article, a wide-area landslide detection and monitoring framework, combining multiple InSAR techniques, is proposed to investigate active landslides along the upper reaches of the Yellow River from Longyang Gorge to Liujia Gorge (UYRLL), north-west China. A total of 597 active landslides have been mapped in this region for the first time. Our analyses suggest that a large percentage of the detected landslides are distributed at an elevation of 2000–3000 m with slope angles of 5–30° and their spatial distribution density is correlated with regional tectonic activity. Multitemporal InSAR techniques have also been adopted to analyze the surface motion characteristics of two typical landslides (i.e., the Lijia landslide and the Xijitan landslide), showing that these two landslides are dominated by linear motion. The landslide movements also contain slight nonlinear oscillations, inferred from wavelet analysis to be associated with reservoir water area changes and seasonal rainfall. The proposed framework herein can be extended to the detection and monitoring of active landslides in other areas with similar geomorphic features, and the above findings on landslide characteristics can also contribute to landslide prevention and mitigation in the upper Yellow River area.https://ieeexplore.ieee.org/document/10087258/InSARlandslidesSentinel-1surface displacementsupper yellow river |
| spellingShingle | Jiantao Du Zhenhong Li Chuang Song Wu Zhu Yiqi Ji Chenglong Zhang Bo Chen Shengrui Su InSAR-Based Active Landslide Detection and Characterization Along the Upper Reaches of the Yellow River IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing InSAR landslides Sentinel-1 surface displacements upper yellow river |
| title | InSAR-Based Active Landslide Detection and Characterization Along the Upper Reaches of the Yellow River |
| title_full | InSAR-Based Active Landslide Detection and Characterization Along the Upper Reaches of the Yellow River |
| title_fullStr | InSAR-Based Active Landslide Detection and Characterization Along the Upper Reaches of the Yellow River |
| title_full_unstemmed | InSAR-Based Active Landslide Detection and Characterization Along the Upper Reaches of the Yellow River |
| title_short | InSAR-Based Active Landslide Detection and Characterization Along the Upper Reaches of the Yellow River |
| title_sort | insar based active landslide detection and characterization along the upper reaches of the yellow river |
| topic | InSAR landslides Sentinel-1 surface displacements upper yellow river |
| url | https://ieeexplore.ieee.org/document/10087258/ |
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