Deformation Slope Extraction and Influencing Factor Analysis Using LT-1 Satellite Data: A Case Study of Chongqing and Surrounding Areas, China
The use of satellite imagery for surface deformation monitoring has been steadily increasing. However, the study of extracting deformation slopes from deformation data requires further advancement. This limitation not only poses challenges for subsequent studies but also restricts the potential for...
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MDPI AG
2025-01-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/17/1/156 |
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| author | Jielin Liu Chong Xu Binbin Zhao Zhi Yang Yi Liu Sihang Zhang Xiaoang Kong Qiongqiong Lan Wenbin Xu Wenwen Qi |
| author_facet | Jielin Liu Chong Xu Binbin Zhao Zhi Yang Yi Liu Sihang Zhang Xiaoang Kong Qiongqiong Lan Wenbin Xu Wenwen Qi |
| author_sort | Jielin Liu |
| collection | DOAJ |
| description | The use of satellite imagery for surface deformation monitoring has been steadily increasing. However, the study of extracting deformation slopes from deformation data requires further advancement. This limitation not only poses challenges for subsequent studies but also restricts the potential for deeper exploration and utilization of deformation data. The LT-1 satellite, China’s largest L-band synthetic aperture radar satellite, offers a new perspective for monitoring. In this study, we extracted deformation slopes in Chongqing and its surrounding areas of China based on deformation data generated by LT-1. Twelve factors were selected to analyze their influence on slope deformation, including elevation, topographic position, slope, landcover, soil, lithology, relief, average rainfall intensity, and distances to rivers, roads, railways, and active faults. A total of 5863 deformation slopes were identified, covering an area of 140 km<sup>2</sup>, mainly concentrated in the central part of the study area, with the highest area density reaching 0.22%. Among these factors, average rainfall intensity was found to have the greatest impact on deformation slope. These findings provide valuable information for geological disaster early warning and management in Chongqing and surrounding areas, while also demonstrating the practical value of the LT-1 satellite in deformation monitoring. |
| format | Article |
| id | doaj-art-5f6c55b2e9be4bf7ae87c243f70b8da7 |
| institution | Kabale University |
| issn | 2072-4292 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj-art-5f6c55b2e9be4bf7ae87c243f70b8da72025-01-10T13:20:25ZengMDPI AGRemote Sensing2072-42922025-01-0117115610.3390/rs17010156Deformation Slope Extraction and Influencing Factor Analysis Using LT-1 Satellite Data: A Case Study of Chongqing and Surrounding Areas, ChinaJielin Liu0Chong Xu1Binbin Zhao2Zhi Yang3Yi Liu4Sihang Zhang5Xiaoang Kong6Qiongqiong Lan7Wenbin Xu8Wenwen Qi9National Institute of Natural Hazards, Ministry of Emergency Management of China, Beijing 100085, ChinaNational Institute of Natural Hazards, Ministry of Emergency Management of China, Beijing 100085, ChinaState Grid Electric Power Engineering Research Institute Co., Ltd., Beijing 100031, ChinaState Grid Electric Power Engineering Research Institute Co., Ltd., Beijing 100031, ChinaState Grid Electric Power Engineering Research Institute Co., Ltd., Beijing 100031, ChinaState Grid Electric Power Engineering Research Institute Co., Ltd., Beijing 100031, ChinaState Grid Electric Power Engineering Research Institute Co., Ltd., Beijing 100031, ChinaChina Centre for Resources Satellite Data and Application, Beijing 100094, ChinaSchool of Earth Science and Information Physics, Central South University, Changsha 410083, ChinaNational Institute of Natural Hazards, Ministry of Emergency Management of China, Beijing 100085, ChinaThe use of satellite imagery for surface deformation monitoring has been steadily increasing. However, the study of extracting deformation slopes from deformation data requires further advancement. This limitation not only poses challenges for subsequent studies but also restricts the potential for deeper exploration and utilization of deformation data. The LT-1 satellite, China’s largest L-band synthetic aperture radar satellite, offers a new perspective for monitoring. In this study, we extracted deformation slopes in Chongqing and its surrounding areas of China based on deformation data generated by LT-1. Twelve factors were selected to analyze their influence on slope deformation, including elevation, topographic position, slope, landcover, soil, lithology, relief, average rainfall intensity, and distances to rivers, roads, railways, and active faults. A total of 5863 deformation slopes were identified, covering an area of 140 km<sup>2</sup>, mainly concentrated in the central part of the study area, with the highest area density reaching 0.22%. Among these factors, average rainfall intensity was found to have the greatest impact on deformation slope. These findings provide valuable information for geological disaster early warning and management in Chongqing and surrounding areas, while also demonstrating the practical value of the LT-1 satellite in deformation monitoring.https://www.mdpi.com/2072-4292/17/1/156ChongqingLT-1 satellitedeformation slopeinfluencing factorsrandom forest |
| spellingShingle | Jielin Liu Chong Xu Binbin Zhao Zhi Yang Yi Liu Sihang Zhang Xiaoang Kong Qiongqiong Lan Wenbin Xu Wenwen Qi Deformation Slope Extraction and Influencing Factor Analysis Using LT-1 Satellite Data: A Case Study of Chongqing and Surrounding Areas, China Remote Sensing Chongqing LT-1 satellite deformation slope influencing factors random forest |
| title | Deformation Slope Extraction and Influencing Factor Analysis Using LT-1 Satellite Data: A Case Study of Chongqing and Surrounding Areas, China |
| title_full | Deformation Slope Extraction and Influencing Factor Analysis Using LT-1 Satellite Data: A Case Study of Chongqing and Surrounding Areas, China |
| title_fullStr | Deformation Slope Extraction and Influencing Factor Analysis Using LT-1 Satellite Data: A Case Study of Chongqing and Surrounding Areas, China |
| title_full_unstemmed | Deformation Slope Extraction and Influencing Factor Analysis Using LT-1 Satellite Data: A Case Study of Chongqing and Surrounding Areas, China |
| title_short | Deformation Slope Extraction and Influencing Factor Analysis Using LT-1 Satellite Data: A Case Study of Chongqing and Surrounding Areas, China |
| title_sort | deformation slope extraction and influencing factor analysis using lt 1 satellite data a case study of chongqing and surrounding areas china |
| topic | Chongqing LT-1 satellite deformation slope influencing factors random forest |
| url | https://www.mdpi.com/2072-4292/17/1/156 |
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