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Proceedings Paper

Monitoring land subsidence rates with permanent scatterers SAR interferometry: a case study of Beijing, China
Author(s): Jun Fan; Xiaojuan Li; Jie Yu; Yanbing Wang; Yanyan Wan; Zhihui An
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Paper Abstract

The ground subsidence phenomenon is more serious in Beijing, large-scale land subsidence seriously threats to urban planning and construction and the safety of residents. In order to study the subsidence condition, it is necessary to monitor land subsidence. Choosing 28 scenes Envisat ASAR images covering Beijing city from December 2003 to March 2009, permanent scatterer SAR interferometry (PSI) technique was applied to obtained time series land subsidence information. Then the trend characteristics and factors of subsidence were analyzed, comparing land subsidence result with the groundwater data and geological structure data. Comparison between the PSI-derived subsidence rates and leveling data obtained shows that the result of PSI is agreed with the leveling data. The results indicate that the PSI technique is capable of providing high-level accuracy subsidence information. The results show that:(1) The deformation rates derived PSI ranging from -45.80 to 4.36mm/a;(2) In the study area, the serious subsidence areas distribute in Chaoyang District, Shunyi District, Tongzhou District and Pinggu District;(3) The subsidence tends to become more and more concentrated in 6 years from 2003 to 2009.

Paper Details

Date Published: 14 December 2015
PDF: 6 pages
Proc. SPIE 9815, MIPPR 2015: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 98151R (14 December 2015); doi: 10.1117/12.2205713
Show Author Affiliations
Jun Fan, Capital Normal Univ. (China)
Beijing Key Lab. of Resource Environment and Geographic Information System (China)
Xiaojuan Li, Capital Normal Univ. (China)
Beijing Key Lab. of Resource Environment and Geographic Information System (China)
Jie Yu, Capital Normal Univ. (China)
Beijing Key Lab. of Resource Environment and Geographic Information System (China)
Yanbing Wang, Capital Normal Univ. (China)
Beijing Key Lab. of Resource Environment and Geographic Information System (China)
Yanyan Wan, Capital Normal Univ. (China)
Beijing Key Lab. of Resource Environment and Geographic Information System (China)
Zhihui An, Capital Normal Univ. (China)
Beijing Key Lab. of Resource Environment and Geographic Information System (China)


Published in SPIE Proceedings Vol. 9815:
MIPPR 2015: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications
Jianguo Liu; Hong Sun, Editor(s)

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