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31 May 2017 Land subsidence in Tianjin for 2015 to 2016 revealed by the analysis of Sentinel-1A with SBAS-InSAR
Jiming Guo, Jiyuan Hu, Bing Li, Lv Zhou, Wei Wang
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Journal of Applied Remote Sensing, Vol. 11, Issue 2, 026024 (May 2017). https://doi.org/10.1117/1.JRS.11.026024
Abstract
It has been suggested that Tianjin, China, has significant land subsidence due to excessive extraction of water. Although it is presently under control, the land subsidence around Tianjin suburbs in recent years should not be ignored. However, existing research work on land subsidence is based on traditional synthetic aperture radar satellite images in which the research time spans are mainly before 2012. An advanced time-series method, namely small baselines subset (SBAS) technique, is applied to a total of 27 Sentinel-1A images over Tianjin acquired between May 31, 2015, and May 13, 2016, to derive the subsidence magnitude and distribution of Tianjin. Furthermore, the overall and quantitative validations of SBAS-derived results are implemented. First, the overall subsidence distribution derived by SBAS is compared with the annual report of land subsidence in Tianjin 2015, which shows the same subsidence trend and distribution. Then, 44 benchmarks and 2 continuously operating reference station datasets, i.e., CH01 and XQYY, are processed to provide a specific validation of SBAS-derived results of Sentinel-1A. Finally, through investigation, an interpretation from two aspects of groundwater extraction and geological structures of the surrounding Wangqingtuo settlement funnel area is given.
© 2017 Society of Photo-Optical Instrumentation Engineers (SPIE) 1931-3195/2017/$25.00 © 2017 SPIE
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Jiming Guo, Jiyuan Hu, Bing Li, Lv Zhou, and Wei Wang "Land subsidence in Tianjin for 2015 to 2016 revealed by the analysis of Sentinel-1A with SBAS-InSAR," Journal of Applied Remote Sensing 11(2), 026024 (31 May 2017). https://doi.org/10.1117/1.JRS.11.026024
Received: 9 January 2017; Accepted: 9 May 2017; Published: 31 May 2017
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KEYWORDS
Earth observing sensors
Satellite imaging
Satellites
Synthetic aperture radar
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