Urban land subsidence monitoring and risk assessment using the point target based SBAS-InSAR method: a case study of Changsha City

References

• Berardino, P., G. Fornaro, R. Lanari, and E. Sansosti. 2002. “A New Algorithm for Surface Deformation Monitoring Based on Small Baseline Differential SAR Interferograms.” IEEE Transactions on Geoscience & Remote Sensing 40 (11): 2375–2383. https://doi.org/10.1109/TGRS.2002.803792.
   Web of Science ®Google Scholar
• Chaussard, E., S. Wdowinski, E. Cabral-Cano, and F. Amelung. 2014. “Land Subsidence in Central Mexico Detected by ALOS InSAR Time-Series.” Remote Sensing of Environment 140:94–106. https://doi.org/10.1016/j.rse.2013.08.038.
   Web of Science ®Google Scholar
• China, Ministry of Natural Resources of the People’s Republic of 2021. “Specifications for Risk Assessment of Geological Hazard.”
   Google Scholar
• Deng, P., X. Guan, and Q. Li. 2015. “Analysis on Geological Factors of Exploiting Underground Space Resources in Changsha City.” Journal of Anhui Agricultural Sciences 43 (12): 259–261.
   Google Scholar
• Dong, J., S. Guo, N. Wang, L. Zhang, D. Ge, M. Liao, and J. Gong. 2023. “Tri-Decadal Evolution of Land Subsidence in the Beijing Plain Revealed by Multi-Epoch Satellite InSAR Observations.” Remote Sensing of Environment 286:113446. https://doi.org/10.1016/j.rse.2022.113446.
   Web of Science ®Google Scholar
• Ferretti, A., C. Prati, and F. Rocca. 2000. “Nonlinear Subsidence Rate Estimation Using Permanent Scatterers in Differential SAR Interferometry.” IEEE Transactions on Geoscience & Remote Sensing 38 (5): 2202–2212. https://doi.org/10.1109/36.868878.
   Web of Science ®Google Scholar
• Ferretti, A., C. Prati, and F. Rocca. 2001. “Permanent Scatterers in SAR Interferometry.” IEEE Transactions on Geoscience & Remote Sensing 39 (1): 8–20. https://doi.org/10.1109/36.898661.
   Web of Science ®Google Scholar
• Ge, D., Y. Wang, X. Guo, S. Liu, and J. Fan. 2007. “Surface Deformation Monitoring with Multi-Baseline D-InSAR Based on Coherent Point Target.” Journal of Remote Sensing 4:574–580. https://doi.org/10.11834/jrs.20070479.
   Google Scholar
• Hanssen, R. F. 2001. “Radar Interferometry: Data Interpretation and Error Analysis.” In Remote Sensing and Digital Image Processing, edited by F. V. D. Meer, 9–40. Vol. 2. Dordrecht: Springer Netherlands.
   Google Scholar
• He, X., Z. Gao, R. Xiao, H. Luo, and C. Feng. 2021. “Monitoring and Analysis of Subsidence Along Lian-Yan Railway Using Multi-Temporal Sentinel-1A InSAR.” Acta Geodaetica et Cartographica Sinica 50 (5): 600–611.
   Google Scholar
• Lingyun, J., W. Qingliang, and W. Shuangxu. 2014. “Present-Day 3D Deformation Field of Northeast China, Observed by GPS and Leveling.” Geodesy and Geodynamics 5 (3): 34–40. https://doi.org/10.3724/SP.J.1246.2014.03034.
   Google Scholar
• Ma, P., W. Wang, B. Zhang, J. Wang, G. Shi, G. Huang, F. Chen, L. Jiang, and H. Lin. 2019. “Remotely Sensing Large- and Small-Scale Ground Subsidence: A Case Study of the Guangdong–Hong Kong–Macao Greater Bay Area of China.” Remote Sensing of Environment 232:111282. https://doi.org/10.1016/j.rse.2019.111282.
   Web of Science ®Google Scholar
• Specifications for Risk Assessment of Geological Hazard (GB/T 40112-2021). “National Public Service Platform for Standards Information.” https://std.samr.gov.cn/gb/search/gbDetailed?id=C3386C490BAC8B79E05397BE0A0AC288.
   Google Scholar
• Steckler, M. S., B. Oryan, C. A. Wilson, C. Grall, S. L. Nooner, D. R. Mondal, S. Humayun Akhter, S. DeWolf, and S. L. Goodbred. 2022. “Synthesis of the Distribution of Subsidence of the Lower Ganges-Brahmaputra Delta, Bangladesh.” Earth Science Review 224:103887. https://doi.org/10.1016/j.earscirev.2021.103887.
   Web of Science ®Google Scholar
• Sun, M., Y. Du, Q. Liu, G. Feng, X. Peng, and C. Liao. 2023. “Understanding the Spatial-Temporal Characteristics of Land Subsidence in Shenzhen Under Rapid Urbanization Based on MT-InSAR.” IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing 16:4153–4166. https://doi.org/10.1109/JSTARS.2023.3264652.
   Web of Science ®Google Scholar
• Wang, C. S., L. Chang, X. S. Wang, B. C. Zhang, and A. Stein. 2024. “Interferometric Synthetic Aperture Radar Statistical Inference in Deformation Measurement and Geophysical Inversion: A Review.” IEEE Geoscience and Remote Sensing Magazine. https://doi.org/10.1109/Mgrs.2023.3344159.
   Google Scholar
• Werner, C., U. Wegmuller, T. Strozzi, and A. Wiesmann. 2003. “Interferometric Point Target Analysis for Deformation Mapping.” In Paper presented at the IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium, Toulouse, France. 2003 July 21–25.
   Google Scholar
• Xu, B., G. Feng, Z. Li, Q. Wang, C. Wang, and R. Xie. 2016. “Coastal Subsidence Monitoring Associated with Land Reclamation Using the Point Target Based SBAS-InSAR Method: A Case Study of Shenzhen, China.” Remote Sensing 8 (8): 652. https://doi.org/10.3390/rs8080652.
   Web of Science ®Google Scholar
• Xu, Y., J. Li, L. Wu, L. Guo, and H. Xu. 2021. “Monitoring Ground Subsidence in Changsha Urban Area Between 2017–2020 Based on SBAS-InSAR.” Hydrographic Surveying and Charting 41 (5): 37–42.
   Google Scholar
• Yang, L. 1997. “Engineering Geological Characteristics of Ground Mass in Urban Area of Changsha.” Engineering Construction 29 (6): 12–16,18.
   Google Scholar
• Zhang, J., C. Ke, X. Shen, J. Lin, and R. Wang. 2023. “Monitoring Land Subsidence Along the Subways in Shanghai on the Basis of Time-Series InSAR.” Remote Sensing 15 (4): 908. https://doi.org/10.3390/rs15040908.
   Web of Science ®Google Scholar
• Zhang, Y., H. Wu, and Y. Kang. 2016. “Ground Subsidence Over Beijing-Tianjin-Hebei Region During Three Periods of 1992 to 2014 Monitored by Interferometric SAR.” Acta Geodaetica et Cartographica Sinica 54 (9): 1050–1058.
   Google Scholar
• Zhao, F., W. Gong, H. Tang, S. P. Pudasaini, T. Ren, and Z. Cheng. 2023. “An Integrated Approach for Risk Assessment of Land Subsidence in Xi’an, China Using Optical and Radar Satellite Images.” Engineering Geology 314:106983. https://doi.org/10.1016/j.enggeo.2022.106983.
   Web of Science ®Google Scholar
• Zhao, Y., L. Zhou, C. Wang, J. Li, J. Qin, H. Sheng, L. Huang, and X. Li. 2022. “Analysis of the Spatial and Temporal Evolution of Land Subsidence in Wuhan, China from 2017 to 2021.” Remote Sensing 14 (13): 3142. https://doi.org/10.3390/rs14133142.
   Web of Science ®Google Scholar