Monitoring Subsidence in Tianjin Area Using the Multi-Baseline D-InSAR Technique

Abstract:

Subsidence has been affecting Tianjin since 1960s. It posed comprehensive detrimental effects on natural environment, the economy and society. Considering the actual monitoring demand for land subsidence in Tianjin area, multi-baseline D-InSAR technique was studied. Using the multi-baseline DInSAR technique more interferograms can be generated, which is useful for retrieving the subsidence velocity accurately. And then regression algorithm and least square method are used to deal with the time series to get deformation result. In this paper, the multi-baseline DInSAR technique is used to measure the subsidence velocity in Tianjin area. It can be concluded that the algorithm is effective and feasible especially in the study area.

• Periodical: Applied Mechanics and Materials (Volumes 239-240)
• Pages: 565-568
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.239-240.565
• Online since: December 2012
• Authors: Hong Li Zhao, Jing Hui Fan, Xiao Fang Guo
• Keywords: D-InSAR, Multi-Baseline, Subsidence, Tianjin

References

[1] F. N. He, G. Wang. The Impact of River Seasonalization on Ground Water and Environment in Haihe Drainage Basin, , Progress In Geography, Vol. 20, No. 3, Science Press, Beijing, pp.286-295, Sep., (2001).

[2] F. J. Jin. The Study on Urban Water Supply and Consumption of Huabei Plain, Progress In Geography, Vol. 19, No. 1, Science Press, Beijing, pp: 17-24, Mar., (2000).

[3] X. G. Yang, F. Chen, D. M. Song, F. Gong, W. S. Zhu, Experimental Study on Practical Agricultural Water-saving Measures on Huabei Plain, , Progress In Geography, Vol. 19, No. 2, Science Press, Beijing, pp: 162-166, Jun., (2000).

[4] Ferretti, C Prati, F Rocca, Nonlinear subsidence rate estimation using permanent scatterers in differential SAR interferometry, , IEEE Trans Geosci Remote Sens, 28(5), pp.2202-2212, (2000).

DOI: 10.1109/36.868878

[5] P. Berardino, G. Formaro, R Lanari, et al., Anew algorithm for surface deformation monitoring based on small baseline differential SAR interferograms, , IEEE Trans Geosci Remote Sens, 40(11), pp.2375-2383, (2002).

DOI: 10.1109/tgrs.2002.803792

[6] R. Lanari, O. Mora, M. Manunta, et al. A small-baseline approach for investigating deformations on full-resolution differential SAR interferograms, IEEE Trans Geosic Remote Sens, 42(7), pp.1377-1386, (2004).

DOI: 10.1109/tgrs.2004.828196

[7] T. Wu, H. Zhang, C. Wang et al. Retrieval of urban slow deformation using the multi-baseline D-InSAR technique, Chinese Science Bulletin. vol. 53 no. 23, Science Press, Beijing, pp.3705-3714, December (2008).

DOI: 10.1007/s11434-008-0331-4