Time-series InSAR deformation gradient estimation and urban buildings risk assessment: A case study in the Beijing Plain
Objective Differential deformation of urban land surfaces can threaten or damage surface infrastructure, leading to fractures and distortions. Monitoring spatial differential deformation and assessing associated risk levels are crucial for urban safety management. Methods This study employs Sentinel...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Bulletin of Geological Science and Technology
2024-11-01
|
| Series: | 地质科技通报 |
| Subjects: | |
| Online Access: | https://dzkjqb.cug.edu.cn/en/article/doi/10.19509/j.cnki.dzkq.tb20240117 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850116734548180992 |
|---|---|
| author | Shicheng ZUO Jie DONG Mingsheng LIAO |
| author_facet | Shicheng ZUO Jie DONG Mingsheng LIAO |
| author_sort | Shicheng ZUO |
| collection | DOAJ |
| description | Objective Differential deformation of urban land surfaces can threaten or damage surface infrastructure, leading to fractures and distortions. Monitoring spatial differential deformation and assessing associated risk levels are crucial for urban safety management. Methods This study employs Sentinel-1 satellite data and the time series InSAR techniques to analyze surface deformation over time, enabling the derivation of spatial-temporal deformation gradients. Hazard and vulnerability assessment factors are calculated using an analytic hierarchy process, integrating data such as nighttime light remote sensing, land use, and Chinese building height datasets.A macroscopic risk assessment is conducted, with supplementary microscopic-levelanalysis to assess building risks and identify potential high-risk areas. Comparison experiments verify the effectiveness of the research. Conclusion Significant deformation disparities are identified between the eastern Chaoyang District and the northwestern Tongzhou District. In addition, high-risk areas are observed around the Capital International Airport region and the vicinity of Anding South Street. Therefore, the study highlights the importance of multisource data for effectively monitoring differential deformation to ensureurban safe. |
| format | Article |
| id | doaj-art-e52f1147ae52468b8c56090c0adf50fc |
| institution | OA Journals |
| issn | 2096-8523 |
| language | zho |
| publishDate | 2024-11-01 |
| publisher | Editorial Department of Bulletin of Geological Science and Technology |
| record_format | Article |
| series | 地质科技通报 |
| spelling | doaj-art-e52f1147ae52468b8c56090c0adf50fc2025-08-20T02:36:15ZzhoEditorial Department of Bulletin of Geological Science and Technology地质科技通报2096-85232024-11-0143617118310.19509/j.cnki.dzkq.tb20240117dzkjtb-43-6-171Time-series InSAR deformation gradient estimation and urban buildings risk assessment: A case study in the Beijing PlainShicheng ZUO0Jie DONG1Mingsheng LIAO2State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, ChinaState Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, ChinaState Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, ChinaObjective Differential deformation of urban land surfaces can threaten or damage surface infrastructure, leading to fractures and distortions. Monitoring spatial differential deformation and assessing associated risk levels are crucial for urban safety management. Methods This study employs Sentinel-1 satellite data and the time series InSAR techniques to analyze surface deformation over time, enabling the derivation of spatial-temporal deformation gradients. Hazard and vulnerability assessment factors are calculated using an analytic hierarchy process, integrating data such as nighttime light remote sensing, land use, and Chinese building height datasets.A macroscopic risk assessment is conducted, with supplementary microscopic-levelanalysis to assess building risks and identify potential high-risk areas. Comparison experiments verify the effectiveness of the research. Conclusion Significant deformation disparities are identified between the eastern Chaoyang District and the northwestern Tongzhou District. In addition, high-risk areas are observed around the Capital International Airport region and the vicinity of Anding South Street. Therefore, the study highlights the importance of multisource data for effectively monitoring differential deformation to ensureurban safe.https://dzkjqb.cug.edu.cn/en/article/doi/10.19509/j.cnki.dzkq.tb20240117time-series insarbeijing plainspatial deformation gradientnight-time light remote sensingrisk assessmenturban building |
| spellingShingle | Shicheng ZUO Jie DONG Mingsheng LIAO Time-series InSAR deformation gradient estimation and urban buildings risk assessment: A case study in the Beijing Plain 地质科技通报 time-series insar beijing plain spatial deformation gradient night-time light remote sensing risk assessment urban building |
| title | Time-series InSAR deformation gradient estimation and urban buildings risk assessment: A case study in the Beijing Plain |
| title_full | Time-series InSAR deformation gradient estimation and urban buildings risk assessment: A case study in the Beijing Plain |
| title_fullStr | Time-series InSAR deformation gradient estimation and urban buildings risk assessment: A case study in the Beijing Plain |
| title_full_unstemmed | Time-series InSAR deformation gradient estimation and urban buildings risk assessment: A case study in the Beijing Plain |
| title_short | Time-series InSAR deformation gradient estimation and urban buildings risk assessment: A case study in the Beijing Plain |
| title_sort | time series insar deformation gradient estimation and urban buildings risk assessment a case study in the beijing plain |
| topic | time-series insar beijing plain spatial deformation gradient night-time light remote sensing risk assessment urban building |
| url | https://dzkjqb.cug.edu.cn/en/article/doi/10.19509/j.cnki.dzkq.tb20240117 |
| work_keys_str_mv | AT shichengzuo timeseriesinsardeformationgradientestimationandurbanbuildingsriskassessmentacasestudyinthebeijingplain AT jiedong timeseriesinsardeformationgradientestimationandurbanbuildingsriskassessmentacasestudyinthebeijingplain AT mingshengliao timeseriesinsardeformationgradientestimationandurbanbuildingsriskassessmentacasestudyinthebeijingplain |