Applicability of Multi-Sensor and Multi-Geometry SAR Data for Landslide Detection in Southwestern China: A Case Study of Qijiang, Chongqing
The southwestern mountainous region of China (SMRC), characterized by complex geological environments, experiences frequent landslide disasters that pose significant threats to local residents. This study focuses on the Qijiang District of Chongqing, where we conduct a systematic evaluation of wavel...
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2025-07-01
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| author | Haiyan Wang Xiaoting Liu Guangcai Feng Pengfei Liu Wei Li Shangwei Liu Weiming Liao |
| author_facet | Haiyan Wang Xiaoting Liu Guangcai Feng Pengfei Liu Wei Li Shangwei Liu Weiming Liao |
| author_sort | Haiyan Wang |
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| description | The southwestern mountainous region of China (SMRC), characterized by complex geological environments, experiences frequent landslide disasters that pose significant threats to local residents. This study focuses on the Qijiang District of Chongqing, where we conduct a systematic evaluation of wavelength and observation geometry effects on InSAR-based landslide monitoring. Utilizing multi-sensor SAR imagery (Sentinel-1 C-band, ALOS-2 L-band, and LUTAN-1 L-band) acquired between 2018 and 2025, we integrate time-series InSAR analysis with geological records, high-resolution topographic data, and field investigation findings to assess representative landslide-susceptible zones in the Qijiang District. The results indicate the following: (1) L-band SAR data demonstrates superior monitoring precision compared to C-band SAR data in the SMRC; (2) the combined use of LUTAN-1 ascending/descending orbits significantly improved spatial accuracy and detection completeness in complex landscapes; (3) multi-source data fusion effectively mitigated limitations of single SAR systems, enhancing identification of small- to medium-scale landslides. This study provides critical technical support for multi-source landslide monitoring and early warning systems in Southwest China while demonstrating the applicability of China’s SAR satellites for geohazard applications. |
| format | Article |
| id | doaj-art-cd3a03cdcd9e48e1a5300c1eb7e56860 |
| institution | DOAJ |
| issn | 1424-8220 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | MDPI AG |
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| spelling | doaj-art-cd3a03cdcd9e48e1a5300c1eb7e568602025-08-20T02:47:21ZengMDPI AGSensors1424-82202025-07-012514432410.3390/s25144324Applicability of Multi-Sensor and Multi-Geometry SAR Data for Landslide Detection in Southwestern China: A Case Study of Qijiang, ChongqingHaiyan Wang0Xiaoting Liu1Guangcai Feng2Pengfei Liu3Wei Li4Shangwei Liu5Weiming Liao6Chongqing 208 Geological Environment Research Institute Co., Ltd., Chongqing 400700, ChinaSchool of Geosciences and Info-Physics, Central South University, Changsha 410083, ChinaSchool of Geosciences and Info-Physics, Central South University, Changsha 410083, ChinaChongqing Institute of Geological Environment Monitoring, Chongqing 401147, ChinaChongqing 208 Geological Environment Research Institute Co., Ltd., Chongqing 400700, ChinaChongqing Institute of Geological Environment Monitoring, Chongqing 401147, ChinaChongqing Institute of Geology and Mineral Resources, Chongqing 401120, ChinaThe southwestern mountainous region of China (SMRC), characterized by complex geological environments, experiences frequent landslide disasters that pose significant threats to local residents. This study focuses on the Qijiang District of Chongqing, where we conduct a systematic evaluation of wavelength and observation geometry effects on InSAR-based landslide monitoring. Utilizing multi-sensor SAR imagery (Sentinel-1 C-band, ALOS-2 L-band, and LUTAN-1 L-band) acquired between 2018 and 2025, we integrate time-series InSAR analysis with geological records, high-resolution topographic data, and field investigation findings to assess representative landslide-susceptible zones in the Qijiang District. The results indicate the following: (1) L-band SAR data demonstrates superior monitoring precision compared to C-band SAR data in the SMRC; (2) the combined use of LUTAN-1 ascending/descending orbits significantly improved spatial accuracy and detection completeness in complex landscapes; (3) multi-source data fusion effectively mitigated limitations of single SAR systems, enhancing identification of small- to medium-scale landslides. This study provides critical technical support for multi-source landslide monitoring and early warning systems in Southwest China while demonstrating the applicability of China’s SAR satellites for geohazard applications.https://www.mdpi.com/1424-8220/25/14/4324landslide identificationLUTAN-1L-band SARSouthwest China’s mountainous areas |
| spellingShingle | Haiyan Wang Xiaoting Liu Guangcai Feng Pengfei Liu Wei Li Shangwei Liu Weiming Liao Applicability of Multi-Sensor and Multi-Geometry SAR Data for Landslide Detection in Southwestern China: A Case Study of Qijiang, Chongqing Sensors landslide identification LUTAN-1 L-band SAR Southwest China’s mountainous areas |
| title | Applicability of Multi-Sensor and Multi-Geometry SAR Data for Landslide Detection in Southwestern China: A Case Study of Qijiang, Chongqing |
| title_full | Applicability of Multi-Sensor and Multi-Geometry SAR Data for Landslide Detection in Southwestern China: A Case Study of Qijiang, Chongqing |
| title_fullStr | Applicability of Multi-Sensor and Multi-Geometry SAR Data for Landslide Detection in Southwestern China: A Case Study of Qijiang, Chongqing |
| title_full_unstemmed | Applicability of Multi-Sensor and Multi-Geometry SAR Data for Landslide Detection in Southwestern China: A Case Study of Qijiang, Chongqing |
| title_short | Applicability of Multi-Sensor and Multi-Geometry SAR Data for Landslide Detection in Southwestern China: A Case Study of Qijiang, Chongqing |
| title_sort | applicability of multi sensor and multi geometry sar data for landslide detection in southwestern china a case study of qijiang chongqing |
| topic | landslide identification LUTAN-1 L-band SAR Southwest China’s mountainous areas |
| url | https://www.mdpi.com/1424-8220/25/14/4324 |
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