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| Early Identification of the Jiangdingya Landslide of Zhouqu Based on SBAS-InSAR Technology |
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YU Haihua1, CAI Guolin1, GAN Quan2, SHEN Dong1
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1.Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China;2.Sichuan Bureau of Surveying, Mapping and Geoinformation, Chengdu 610000, China
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| 摘要: |
| SBAS-InSAR technology is characterized by the advantages of reducing the influence of terrain-simulation error, time-space decorrelation, atmospheric error, thereby improving the reliability of surface-deformation monitoring. This paper studies the early landslide identification method based on SBAS-InSAR technology. Selecting the Jiangdingya landslide area in Zhouqu County, Gansu Province as the research area, 84 ascending-orbit Sentinel-1A SAR images from 2015 to 2019 are collected. In addition, using SBAS-InSAR technology, the rate and time-series results of surface deformation of the landslide area in Jiangdingya during this period are extracted, and potential landslides are identified. The results show that the early landslide identification method based on SBAS-InSAR technology is highly feasible and is a better tool for identifying potential landslides in large areas. |
| 关键词: SBAS-InSAR Jiangdingya landslide Early identification Deformation rate Sentinel-1A |
| DOI：10.19743/j.cnki.0891-4176.202004009 |
| 分类号: |
| 基金项目:This project is sponsored by the Research on Early Identification of Landslide Hazards based on High-resolution SAR Image (KJ-2018-13). |
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| Early Identification of the Jiangdingya Landslide of Zhouqu Based on SBAS-InSAR Technology |
|
YU Haihua1, CAI Guolin1, GAN Quan2, SHEN Dong1
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1.Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China;2.Sichuan Bureau of Surveying, Mapping and Geoinformation, Chengdu 610000, China
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| Abstract: |
| SBAS-InSAR technology is characterized by the advantages of reducing the influence of terrain-simulation error, time-space decorrelation, atmospheric error, thereby improving the reliability of surface-deformation monitoring. This paper studies the early landslide identification method based on SBAS-InSAR technology. Selecting the Jiangdingya landslide area in Zhouqu County, Gansu Province as the research area, 84 ascending-orbit Sentinel-1A SAR images from 2015 to 2019 are collected. In addition, using SBAS-InSAR technology, the rate and time-series results of surface deformation of the landslide area in Jiangdingya during this period are extracted, and potential landslides are identified. The results show that the early landslide identification method based on SBAS-InSAR technology is highly feasible and is a better tool for identifying potential landslides in large areas. |
| Key words: SBAS-InSAR Jiangdingya landslide Early identification Deformation rate Sentinel-1A |
