Articles | Volume 382
https://doi.org/10.5194/piahs-382-237-2020
https://doi.org/10.5194/piahs-382-237-2020
Pre-conference publication
 | 
22 Apr 2020
Pre-conference publication |  | 22 Apr 2020

InSAR monitoring surface deformation induced by underground mining using Sentinel-1 images

Ling Zhang, Daqing Ge, Xiaofang Guo, Bin Liu, Man Li, and Yan Wang

Cited articles

Berardino, P., Fornaro, G., Lanari, R., and Sansosti, E.: A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms, IEEE T. Geosci. Remote, 40, 2375–2383, 2002. 
Ferretti, A., Prati, C., and Rocca, F.: Permanent Scatterers in SAR Interferometry, IEEE T. Geosci. Remote, 39, 8–20, 2001. 
Graham, L. C.: Synthetic interferometer radar for topographic mapping, Proc. IEEE, 62, 763–768, 1974. 
Werner, C., Wegmuller, U., Strozzi, T., and Wiesmann, A.: Interferometric Point Target Analysis for Deformation Mapping, IEEE T. Geosci. Remote, 7, 4362–4364, 2003. 
Zhang, X. D., Ge, D. Q., Wu, L. X., Zhang, L., Wang, Y., and Guo, X. F.: Study on Monitoring Land Subsidence in Mining City Based on Coherent Target Small-baseline InSAR, J. China Coal Soc., 37, 1606–1611, 2012. 
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Short summary
Land subsidence, is a major problem that threatens the sustainable economic development. InSAR has became an economic, effective and accurate technique for land deformation monitoring. For rapid deformations, temporal decorrelation and detectable deformation gradient limit monitoring capacity of InSAR. In this work, images obtained by the Sentinel-1 satellite are used to improve the ability.The rapid cumulative subsidence time series can be retrieved at each image acquisition.