Discussion on the effectiveness of landslide hazard identification and factors affecting the effectiveness of LT-1 satellite based on InSAR technology
Landslides present significant risks to southwest China’s mountainous regions, This study evaluates the efficacy of LT-1 satellites using InSAR technology where complex terrain and dense vegetation hinder traditional SAR detection. To identify landslides in Dafang and Nayong Counties, Guizhou Provin...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-12-01
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| Series: | Geocarto International |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/10106049.2025.2461539 |
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| Summary: | Landslides present significant risks to southwest China’s mountainous regions, This study evaluates the efficacy of LT-1 satellites using InSAR technology where complex terrain and dense vegetation hinder traditional SAR detection. To identify landslides in Dafang and Nayong Counties, Guizhou Province, from June 2023 to June 2024. Utilizing Stacking, SBAS, and D-InSAR techniques with LT-1 and ALOS-2 data, key findings include: (1) identification of 259 landslides, (2) detection of a major landslide in Nayong County with a subsidence rate of 26 cm/year and cumulative deformation of 212 mm, (3) limited landslide detection in shadowed areas with single-orbit LT-1 data, suggesting the need for dual-orbit monitoring, and (4) LT-1 outperforming ALOS-2 in detecting small-scale landslides in sparsely vegetated areas. The study underscores LT-1's potential in landslide monitoring in challenging environments and provides insights into SAR-based detection factors. |
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| ISSN: | 1010-6049 1752-0762 |