Next Article in Journal
Geodetic Network Design and Optimization on the Active Tuzla Fault (Izmir, Turkey) for Disaster Management
Next Article in Special Issue
SAR Observation and Modeling of Gap Winds in the Prince William Sound of Alaska
Previous Article in Journal
Tetraazacyclohexadeca Macrocyclic Ligand as a Neutral Carrier in a Cr Ion-selective Electrode
Previous Article in Special Issue
On the Soil Roughness Parameterization Problem in Soil Moisture Retrieval of Bare Surfaces from Synthetic Aperture Radar
Sensors 2008, 8(8), 4725-4741; doi:10.3390/s8084725

Detecting Land Subsidence in Shanghai by PS-Networking SAR Interferometry

1,* , 1
1 Dept. of Surveying Engineering, Southwest Jiaotong University, Chengdu, China 2 Dept. of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong, China
* Author to whom correspondence should be addressed.
Received: 14 July 2008 / Revised: 5 August 2008 / Accepted: 13 August 2008 / Published: 19 August 2008
(This article belongs to the Special Issue Synthetic Aperture Radar (SAR))
View Full-Text   |   Download PDF [4460 KB, uploaded 21 June 2014]   |   Browse Figures


Existing studies have shown that satellite synthetic aperture radar (SAR) interferometry has two apparent drawbacks, i.e., temporal decorrelation and atmospheric contamination, in the application of deformation mapping. It is however possible to improve deformation analysis by tracking some natural or man-made objects with steady radar reflectivity, i.e., permanent scatterers (PS), in the frame of time series of SAR images acquired over the same area. For detecting land subsidence in Shanghai, China, this paper presents an attempt to explore an approach of PS-neighborhood networking SAR interferometry. With use of 26 ERS-1/2 SAR images acquired 1992 through 2002 over Shanghai, the analysis of subsiding process in time and space is performed on the basis of a strong network which is formed by connecting neighboring PSs according to a distance threshold. The linear and nonlinear subsidence, atmospheric effects as well as topographic errors can be separated effectively in this way. The subsidence velocity field in 10 years over Shanghai is also derived. It was found that the annual subsidence rates in the study area range from -2.1 to -0.6 cm/yr, and the averaged subsidence rate reaches -1.1 cm/yr.
Keywords: permanent scatter; PS networking; radar interferometry; subsidence detection. permanent scatter; PS networking; radar interferometry; subsidence detection.
This is an open access article distributed under the Creative Commons Attribution License (CC BY) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Share & Cite This Article

Further Mendeley | CiteULike
Export to BibTeX |
EndNote |
MDPI and ACS Style

Liu, G.; Luo, X.; Chen, Q.; Huang, D.; Ding, X. Detecting Land Subsidence in Shanghai by PS-Networking SAR Interferometry. Sensors 2008, 8, 4725-4741.

View more citation formats

Related Articles

Article Metrics

For more information on the journal, click here


[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert