Proceedings of IAHS
Proceedings of IAHS
PIAHS
Articles | Volume 382
Articles | Volume 382
https://doi.org/10.5194/piahs-382-249-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/piahs-382-249-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 382
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

Viewed

Total article views: 768 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
475 266 27 768 29 26
  • HTML: 475
  • PDF: 266
  • XML: 27
  • Total: 768
  • BibTeX: 29
  • EndNote: 26
Views and downloads (calculated since 22 Apr 2020)
Cumulative views and downloads (calculated since 22 Apr 2020)

Viewed (geographical distribution)

Total article views: 652 (including HTML, PDF, and XML) Thereof 651 with geography defined and 1 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 08 Jun 2023
Download
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.
Read more