Landslide Monitoring along the Dadu River in Sichuan Based on Sentinel-1 Multi-Temporal InSAR
The Dadu River travels in the mountainous areas of southwestern China, one of regions with the most hazards that has long suffered from frequent geohazards. The early identification of landslides in this region is urgently needed, especially after the recent Luding earthquake (MS 6.8). While convent...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-03-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/23/7/3383 |
| _version_ | 1797607088990453760 |
|---|---|
| author | Huibao Huang Shujun Ju Wei Duan Dejun Jiang Zhiliang Gao Heng Liu |
| author_facet | Huibao Huang Shujun Ju Wei Duan Dejun Jiang Zhiliang Gao Heng Liu |
| author_sort | Huibao Huang |
| collection | DOAJ |
| description | The Dadu River travels in the mountainous areas of southwestern China, one of regions with the most hazards that has long suffered from frequent geohazards. The early identification of landslides in this region is urgently needed, especially after the recent Luding earthquake (MS 6.8). While conventional ground-based monitoring techniques are limited by the complex terrain conditions in these alpine valley regions, space interferometric synthetic aperture radar (InSAR) provides an incomparable advantage in obtaining surface deformation with high precision and over a wide area, which is very useful for long-term and slow geohazard monitoring. In this study, more than 500 Sentinel-1 SAR images with four frames acquired during 2017~2022 were collected to detect the hidden landslide regions from the Jinchuan to Ebian Section along the Dadu River, based on joint-scatterer InSAR (JS-InSAR) and small baseline subset (SBAS) techniques. The results showed that our method could be successfully applied for landslide monitoring in complex mountainous regions. Furthermore, 143 potential landslide regions spreading over an 800 km area along the Dadu River were extracted by integrating the deformation measurements and optical images. Our study can provide a reference for large-scale geological hazard surveys in mountainous areas, and the InSAR technique will be encouraged for the local government in future long-term monitoring applications in the Dadu River Basin. |
| first_indexed | 2024-03-11T05:26:21Z |
| format | Article |
| id | doaj.art-fb0cdb1db59a4f769e3b7d1da3939e5c |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-11T05:26:21Z |
| publishDate | 2023-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-fb0cdb1db59a4f769e3b7d1da3939e5c2023-11-17T17:31:47ZengMDPI AGSensors1424-82202023-03-01237338310.3390/s23073383Landslide Monitoring along the Dadu River in Sichuan Based on Sentinel-1 Multi-Temporal InSARHuibao Huang0Shujun Ju1Wei Duan2Dejun Jiang3Zhiliang Gao4Heng Liu5College of Water Resource and Hydropower, Sichuan University, Chengdu 610065, ChinaGuoneng Dadu River Hydropower Co., Ltd., Chengdu 610093, ChinaInstitute of Software, Chinese Academy of Sciences, Beijing 100190, ChinaGuoneng Dadu River Hydropower Co., Ltd., Chengdu 610093, ChinaGuoneng Dadu River Hydropower Co., Ltd., Chengdu 610093, ChinaGuoneng Dadu River Hydropower Co., Ltd., Chengdu 610093, ChinaThe Dadu River travels in the mountainous areas of southwestern China, one of regions with the most hazards that has long suffered from frequent geohazards. The early identification of landslides in this region is urgently needed, especially after the recent Luding earthquake (MS 6.8). While conventional ground-based monitoring techniques are limited by the complex terrain conditions in these alpine valley regions, space interferometric synthetic aperture radar (InSAR) provides an incomparable advantage in obtaining surface deformation with high precision and over a wide area, which is very useful for long-term and slow geohazard monitoring. In this study, more than 500 Sentinel-1 SAR images with four frames acquired during 2017~2022 were collected to detect the hidden landslide regions from the Jinchuan to Ebian Section along the Dadu River, based on joint-scatterer InSAR (JS-InSAR) and small baseline subset (SBAS) techniques. The results showed that our method could be successfully applied for landslide monitoring in complex mountainous regions. Furthermore, 143 potential landslide regions spreading over an 800 km area along the Dadu River were extracted by integrating the deformation measurements and optical images. Our study can provide a reference for large-scale geological hazard surveys in mountainous areas, and the InSAR technique will be encouraged for the local government in future long-term monitoring applications in the Dadu River Basin.https://www.mdpi.com/1424-8220/23/7/3383JS-InSARSBASlandslideearly identificationDadu RiverLuding |
| spellingShingle | Huibao Huang Shujun Ju Wei Duan Dejun Jiang Zhiliang Gao Heng Liu Landslide Monitoring along the Dadu River in Sichuan Based on Sentinel-1 Multi-Temporal InSAR Sensors JS-InSAR SBAS landslide early identification Dadu River Luding |
| title | Landslide Monitoring along the Dadu River in Sichuan Based on Sentinel-1 Multi-Temporal InSAR |
| title_full | Landslide Monitoring along the Dadu River in Sichuan Based on Sentinel-1 Multi-Temporal InSAR |
| title_fullStr | Landslide Monitoring along the Dadu River in Sichuan Based on Sentinel-1 Multi-Temporal InSAR |
| title_full_unstemmed | Landslide Monitoring along the Dadu River in Sichuan Based on Sentinel-1 Multi-Temporal InSAR |
| title_short | Landslide Monitoring along the Dadu River in Sichuan Based on Sentinel-1 Multi-Temporal InSAR |
| title_sort | landslide monitoring along the dadu river in sichuan based on sentinel 1 multi temporal insar |
| topic | JS-InSAR SBAS landslide early identification Dadu River Luding |
| url | https://www.mdpi.com/1424-8220/23/7/3383 |
| work_keys_str_mv | AT huibaohuang landslidemonitoringalongthedaduriverinsichuanbasedonsentinel1multitemporalinsar AT shujunju landslidemonitoringalongthedaduriverinsichuanbasedonsentinel1multitemporalinsar AT weiduan landslidemonitoringalongthedaduriverinsichuanbasedonsentinel1multitemporalinsar AT dejunjiang landslidemonitoringalongthedaduriverinsichuanbasedonsentinel1multitemporalinsar AT zhilianggao landslidemonitoringalongthedaduriverinsichuanbasedonsentinel1multitemporalinsar AT hengliu landslidemonitoringalongthedaduriverinsichuanbasedonsentinel1multitemporalinsar |