Articles | Volume 382
https://doi.org/10.5194/piahs-382-249-2020
https://doi.org/10.5194/piahs-382-249-2020
Pre-conference publication
 | 
22 Apr 2020
Pre-conference publication |  | 22 Apr 2020

Land subsidence monitoring based on PS-InSAR Persistent Scatterers identification with spectral analysis method

Di Zhou, Jie Yu, Lin Zhu, Yanbing Wang, Jing Zhang, Shuai Jiao, and Ren Shu Chen

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Cited articles

Chen, B. B., Gong, H. L., and Li, X. J.: Spatial correlation between land subsidence and urbanization in Beijing, China, J. Nat. Hazards, 75, 2637–2652, https://doi.org/10.1007/s11069-014-1451-6, 2015. 
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Hooper, A., Zebker, H., and Segall, P.: A new Method for Measuring Deformation on Volcanoes and Other Natuaral Terrains Deformation Using InSAR Persistent Scatterers, J. Geophys. Res. Lett., 31, 1–5, https://doi.org/10.1029/2004GL021737, 2004. 
Tan, Z. Y. and Zhang, Y. B.: Research of Fast Fourier Transformation and Realization of MATLAB, J. China Sci. Tech. Info., 52, 179–188, https://doi.org/10.1109/TCE.2006.1605045, 2006. 
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Short summary
To overcome the problem that layover scatterers with no amplitude stability and spatial coherence are lead to reliability insufficient and accuracy reduction in monitoring urban land subsidence, we applied the Fast Fourier Transform to convert Persistent Scatterers to frequency domain during the PS-InSAR identification process. The method could identify and separate single and layover scatterers, reduced the effect of layover scatterers, improved the accuracy of urban land subsidence monitoring.