Share Email Print
cover

Journal of Applied Remote Sensing • new

Land subsidence in Tianjin for 2015 to 2016 revealed by the analysis of Sentinel-1A with SBAS-InSAR
Author(s): Jiming Guo; Jiyuan Hu; Bing Li; Lv Zhou; Wei Wang
Format Member Price Non-Member Price
PDF $20.00 $25.00

Paper 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.

Paper Details

Date Published: 31 May 2017
PDF: 14 pages
J. Appl. Remote Sens. 11(2) 026024 doi: 10.1117/1.JRS.11.026024
Published in: Journal of Applied Remote Sensing Volume 11, Issue 2
Show Author Affiliations
Jiming Guo, Wuhan Univ. (China)
Jiyuan Hu, Wuhan Univ. (China)
Bing Li, Wuhan Univ. (China)
Lv Zhou, Wuhan Univ. (China)
Beijing Key Lab. of Urban Spatial Information Engineering (China)
Guilin Univ. of Technology (China)
Wei Wang, Tianjin Institute of Surveying and Mapping (China)


© SPIE. Terms of Use
Back to Top