Coastal Reclamation Embankment Deformation: Dynamic Monitoring and Future Trend Prediction Using Multi-Temporal InSAR Technology in Funing Bay, China

被引：0
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作者：
Huang, Jinhua [1 ]
Wang, Baohang [1 ,2 ]
Cai, Xiaohe [1 ,2 ]
Yan, Bojie [1 ]
Li, Guangrong [3 ]
Li, Wenhong [4 ]
Zhao, Chaoying [3 ]
Yang, Liye [5 ]
Zheng, Shouzhu [1 ]
Cui, Linjie [1 ]
机构：
[1] School of Geography and Oceanography, Minjiang University, Fuzhou,350108, China
[2] Technology Innovation Center for Monitoring and Restoration Engineering of Ecological Fragile Zone in Southeast China, Ministry of Natural Resources, Fuzhou,350001, China
[3] School of Geological Engineering and Geomatics, Chang’an University, Xi’an,710054, China
[4] Xi’an Center of Geological Survey, China Geological Survey, Xi’an,710054, China
[5] College of Civil Engineering, Xiangtan University, Xiangtan,411105, China
来源：
Remote Sensing | / 16卷 / 22期
关键词：
Reclamation is an effective strategy for alleviating land scarcity in coastal areas; thereby providing additional arable land and opportunities for marine ranching. Monitoring the safety of artificial reclamation embankments is crucial for protecting these reclaimed areas. This study employed synthetic aperture radar interferometry (InSAR) using 224 Sentinel-1A data; spanning from 9 January 2016 to 8 April 2024; to investigate the deformation characteristics of the coastal reclamation embankment in Funing Bay; China. We optimized the phase-unwrapping network by employing ambiguity-detection and redundant-observation methods to facilitate the multitemporal InSAR phase-unwrapping process. The deformation results indicated that the maximum observed land subsidence rate exceeded 50 mm per year. The Funing Bay embankment exhibited a higher level of internal deformation than areas closer to the sea. Time-series analysis revealed a gradual deceleration in the deformation rate. Furthermore; a geotechnical model was utilized to predict future deformation trends. Understanding the spatial dynamics of deformation characteristics in the Funing Bay reclamation embankment will be beneficial for ensuring the safe operation of future coastal reclamation projects. © 2024 by the authors;
D O I：
10.3390/rs16224320
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  • [2] A Comparison of InSAR Techniques for Deformation Monitoring using Multi-temporal SAR
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    [J]. KOREAN JOURNAL OF REMOTE SENSING, 2010, 26 (02) : 143 - 151
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