Monitoring subsidence with short-term ASAR data in Shanghai

Yuanyuan Pei; Hanmei Wang; Zhilei Fang; Minsheng Liao

doi:10.1117/12.833333

30 October 2009 Monitoring subsidence with short-term ASAR data in Shanghai

Yuanyuan Pei, Hanmei Wang, Zhilei Fang, Minsheng Liao

Proceedings Volume 7494, MIPPR 2009: Multispectral Image Acquisition and Processing; 749421 (2009) https://doi.org/10.1117/12.833333
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

This work presents the application of PS-InSAR for monitoring large-coverage and dynamical ground subsidence. For the standard PS-InSAR technique, a large stack of InSAR images is necessary (usually more than 20 images). We present a method for the extraction of precise subsidence velocity from small InSAR image stacks. Using ENVISAT/ASAR data within one year duration differential interferograms with multi-master images are generated. A contour map derived from subsidence product shows a good consistency with leveling measurements. It indicates that using a small stack of SAR images acquired within a short-time is possible for monitor subsidence with a reasonable accuracy and reliability.

Citation Download Citation

Yuanyuan Pei, Hanmei Wang, Zhilei Fang, and Minsheng Liao "Monitoring subsidence with short-term ASAR data in Shanghai", Proc. SPIE 7494, MIPPR 2009: Multispectral Image Acquisition and Processing, 749421 (30 October 2009); https://doi.org/10.1117/12.833333

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