Zhongyao Han
ABSTRACT
Surface subsidence is a major engineering geological issue in the construction of major cities worldwide, posing a serious threat to the safety of the general public. Therefore, achieving precise monitoring of surface deformation holds significant value in practical applications. Interferometric Synthetic Aperture Radar (InSAR) offers advantages such as all-day, all-weather, large-area coverage, and high precision, making it widely used in the monitoring of broad-scale surface deformation. This study is based on the SBAS-InSAR technique, which effectively addresses the limitations of InSAR, such as temporal and spatial decorrelation, and the difficulty in obtaining accurate deformation information. Taking the Pearl River Bridge in the Nansha District of Guangzhou as the research object, Sentinel-1 radar satellite images from June 2015 to July 2019 were acquired to conduct surface deformation monitoring in the Nansha District of Guangzhou. This resulted in the formation of a dataset for monitoring surface subsidence and performing subsidence analysis of the Pearl River Bridge. The research demonstrates that the SBAS-InSAR technique has strong capabilities in the sequential monitoring of nonlinear surface deformation, and the extracted deformation results can provide scientific evidence for analysis and decision-making by production units and government departments.
- Xu Guanghe, He Xiaofeng, Wang Guorui, Hu Zhiyong, Cheng Xia, Li Xiaoqiong. InSAR identification and cause analysis of landslide disasters in the Ningxia (Xiji County) section of the Yellow River Basin [J]. Surveying and Mapping Bulletin, 2022 (06): 104-107. DOI: 10.13474/j.cnki.11-2246.2022.0180Google Scholar
Cross Ref
- Jin Lihua, Wang Mingliang, Wu Limei, Zhao Ying. Research on Large Area Land Subsidence Monitoring Technology Based on InSAR Technology [J]. Surveying and Spatial Geographic Information, 2022,45 (S1): 190-192Google Scholar
- Gong Xiang, Xu Qiang, Pu Chuanhao, Chen Wanlin, Xiu Dehao, Ji Xu. InSAR Time Series Monitoring and Analysis of Surface Deformation after Pingshan City Building in Lanzhou New Area [J/OL]. Journal of Wuhan University (Information Science Edition): 1-16 [2022-08-01]. DOI: 10.13203/j.whigis20210553Google ScholarCross Ref
- Zhang Shuangcheng, Zhang Yafei, Si Jinzhao, Luo Yong, Yu Jing, Lei Kunchao, Xu Qiang. InSAR Interpretation of Land Subsidence Development Trend in Beijing after the South Water Entering Beijing [J/OL]. Journal of Wuhan University (Information Science Edition): 1-15 [2022-08-01]. DOI: 10.13203/j.whugis20210554Google ScholarCross Ref
- Ge Pengfei, Liu Hui, Chen Mi, Li Yu, Ding Ruili, Liu Fei. Time series InSAR monitoring of ground subsidence in the Hebei section of the Beijing Xiong intercity railway [J]. Surveying and Mapping Bulletin, 2022 (07): 64-70. DOI: 10.13474/j.cnki.11-2246.2022.0205Google ScholarCross Ref
- Yang Zhuoqun, Yu Jun. Precision analysis of high-resolution InSAR data for deformation monitoring [J]. Journal of Geology, 2022,46 (02): 207-213Google Scholar
- Geng Xiaomin, Zhang Junhui. Time series monitoring of surface nonlinear deformation based on SBAS-InSAR [J]. Surveying and Mapping Science, 2019,44 (10): 190-195. DOI: 10.16251/j.cnki.1009-2307.2019.10.027Google ScholarCross Ref
- Mao Qin Research on Surface Deformation Monitoring Method Based on SBAS-InSAR Technology [D]. Xi'an University of Electronic Science and Technology, 2019. DOI: 10.27389/d.cnki.gxadu.2019.001834Google ScholarCross Ref
- An Bingqi, Luo Haibin, Ding Haiyong, Zhang Zhishan, Wang Wei, Shi Xiao, Ke Fuyang, Wang Mingming. Surface deformation monitoring in Xining based on SBAS-InSAR technology [J]. Remote Sensing Technology and Application, 2021,36 (04): 838-846Google Scholar
- Xiang Qiwen, Pan Jianping, Zhang Guangze, Xu Zhengxuan, Zhang Dingkai, Tu Wenli. Surface deformation monitoring and analysis in the Zheduoshan area of the Sichuan Tibet Railway based on SBAS technology [J]. Surveying and Mapping Engineering, 2020,29 (04): 48-54+59. DOI: 10.19349/j.cnki. issn1006-7949.2020. 04.010Google ScholarCross Ref
- Li Wanqiu Research on SBAS-InSAR technology based on Sentinel-1 data in surface deformation monitoring [D]. Chengdu University of Technology, 2018. DOI: 10.26986/dccnki-gcdlc.2018.000039Brian K. Reid. 1980. A high-level approach to computer document formatting. In Proceedings of the 7th Annual Symposium on Principles of Programming Languages. ACM, New York, 24–31. https://doi.org/10.1145/567446.567449Google ScholarCross Ref
Index Terms
- Research on Surface Deformation Monitoring Using SBAS-InSAR: A Case Study of Zhujiang Bridge in Nansha District, Guangzhou
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