InSAR Displacement with High-Resolution Optical Remote Sensing for the Early Detection and Deformation Analysis of Active Landslides in the Upper Yellow River
Frequent landslides and other geological disasters pose a serious threat to human life and infrastructure in the Upper Yellow River. Detecting active landslides and ascertaining their impact necessitate the determination of deformation characteristics. In this study, we developed an integrated metho...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-02-01
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| Series: | Water |
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| Online Access: | https://www.mdpi.com/2073-4441/15/4/769 |
| _version_ | 1797617740181143552 |
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| author | Kuan Tu Shirong Ye Jingui Zou Chen Hua Jiming Guo |
| author_facet | Kuan Tu Shirong Ye Jingui Zou Chen Hua Jiming Guo |
| author_sort | Kuan Tu |
| collection | DOAJ |
| description | Frequent landslides and other geological disasters pose a serious threat to human life and infrastructure in the Upper Yellow River. Detecting active landslides and ascertaining their impact necessitate the determination of deformation characteristics. In this study, we developed an integrated method combining interferometric synthetic aperture radar and high-resolution optical satellite remote sensing to detect active landslides in the Upper Yellow River region from Longyang Gorge to Lijia Gorge. Sentinel-1 satellite data from January 2019 to April 2021 with ascending and descending orbits were adopted to obtain deformation using the STACKING and interferometric point target analysis techniques. A 97.08% overlap rate in the detected results from the two InSAR technologies confirmed the suitability of both approaches. The missing detection rates (6.79% & 8.73%) from single line-of-sight (LOS) InSAR results indicate the necessity of different orbit direction data. Slight deformation rate changes (<4 mm/month) before and after rainy seasons of the Lijia Gorge landslide group indicate that precipitation exerted little impact on slope activity. This study supports the feasibility of integrated methods for the detection and analysis of active landslides in the Upper Yellow River and other regions. |
| first_indexed | 2024-03-11T08:00:01Z |
| format | Article |
| id | doaj.art-b5c4a84d3ada46a5ab7f6540abe58e2b |
| institution | Directory Open Access Journal |
| issn | 2073-4441 |
| language | English |
| last_indexed | 2024-03-11T08:00:01Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
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| series | Water |
| spelling | doaj.art-b5c4a84d3ada46a5ab7f6540abe58e2b2023-11-16T23:53:14ZengMDPI AGWater2073-44412023-02-0115476910.3390/w15040769InSAR Displacement with High-Resolution Optical Remote Sensing for the Early Detection and Deformation Analysis of Active Landslides in the Upper Yellow RiverKuan Tu0Shirong Ye1Jingui Zou2Chen Hua3Jiming Guo4GNSS Research Center, Wuhan University, Wuhan 430079, ChinaGNSS Research Center, Wuhan University, Wuhan 430079, ChinaSchool of Geodesy and Geomatics, Wuhan University, Wuhan 430079, ChinaSchool of Emergency Management, Institute of Disaster Prevention, Sanhe 065201,ChinaSchool of Geodesy and Geomatics, Wuhan University, Wuhan 430079, ChinaFrequent landslides and other geological disasters pose a serious threat to human life and infrastructure in the Upper Yellow River. Detecting active landslides and ascertaining their impact necessitate the determination of deformation characteristics. In this study, we developed an integrated method combining interferometric synthetic aperture radar and high-resolution optical satellite remote sensing to detect active landslides in the Upper Yellow River region from Longyang Gorge to Lijia Gorge. Sentinel-1 satellite data from January 2019 to April 2021 with ascending and descending orbits were adopted to obtain deformation using the STACKING and interferometric point target analysis techniques. A 97.08% overlap rate in the detected results from the two InSAR technologies confirmed the suitability of both approaches. The missing detection rates (6.79% & 8.73%) from single line-of-sight (LOS) InSAR results indicate the necessity of different orbit direction data. Slight deformation rate changes (<4 mm/month) before and after rainy seasons of the Lijia Gorge landslide group indicate that precipitation exerted little impact on slope activity. This study supports the feasibility of integrated methods for the detection and analysis of active landslides in the Upper Yellow River and other regions.https://www.mdpi.com/2073-4441/15/4/769landslide detectionInSARoptical remote sensingUpper Yellow River (China) |
| spellingShingle | Kuan Tu Shirong Ye Jingui Zou Chen Hua Jiming Guo InSAR Displacement with High-Resolution Optical Remote Sensing for the Early Detection and Deformation Analysis of Active Landslides in the Upper Yellow River Water landslide detection InSAR optical remote sensing Upper Yellow River (China) |
| title | InSAR Displacement with High-Resolution Optical Remote Sensing for the Early Detection and Deformation Analysis of Active Landslides in the Upper Yellow River |
| title_full | InSAR Displacement with High-Resolution Optical Remote Sensing for the Early Detection and Deformation Analysis of Active Landslides in the Upper Yellow River |
| title_fullStr | InSAR Displacement with High-Resolution Optical Remote Sensing for the Early Detection and Deformation Analysis of Active Landslides in the Upper Yellow River |
| title_full_unstemmed | InSAR Displacement with High-Resolution Optical Remote Sensing for the Early Detection and Deformation Analysis of Active Landslides in the Upper Yellow River |
| title_short | InSAR Displacement with High-Resolution Optical Remote Sensing for the Early Detection and Deformation Analysis of Active Landslides in the Upper Yellow River |
| title_sort | insar displacement with high resolution optical remote sensing for the early detection and deformation analysis of active landslides in the upper yellow river |
| topic | landslide detection InSAR optical remote sensing Upper Yellow River (China) |
| url | https://www.mdpi.com/2073-4441/15/4/769 |
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