Land subsidence monitoring in city area by time series interferometric SAR data

Conference paper (2005)

Authors

Huanyin Yue Chinese Academy of Sciences
R.F. Hanssen Mathematical Geodesy and Positioning - CEG
F.J. van Leijen Mathematical Geodesy and Positioning - CEG
Quan Chen CAS
Research Group
Mathematical Geodesy and Positioning (CEG) (TU Delft)
Land subsidence Phase model Time series InSAR data
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Published Date

2005

Language

English

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Faculty

Civil Engineering & Geosciences

Department

Geoscience and Remote Sensing

Research Group

Mathematical Geodesy and Positioning

Abstract

In this paper, the time series multi-image stack processing technique is implemented based on the ERS-1, ERS-2 SAR data set of cities of Las Vegas in America. A single master approach is used in the stack data processing based on the permanent scatterers processing technique invented by Ferretti et al. [1,2]. After the differential phase model establishment and stable points selection, linear subsidence velocity and digital elevation model errors are estimated, non-linear subsidence velocity and atmospheric artifacts related to each SAR acquisition are separated, so a land subsidence history covering all the SAR data acquisitions in each city can be achieved. In our research, more test data in cities of China will be implemented in the next step.