PS-InSAR Time Series Analysis Using Sentinel-1A and ENVISAT-ASAR Data Stacks for Subsidence Estimation in Tehran

Document Type : علمی - پژوهشی

Authors

1 M.Sc. Student of Geomatics Engineering, K.N. Toosi University of Technology

2 . M.Sc. Student of Geomatics Engineering, K.N. Toosi University of Technology

3 Assistant Prof. of Geomatics Engineering, K.N. Toosi University of Technology

Abstract

Tehran is subject to high-rate subsidence because of extravagant water extraction. Groundwater extraction in Tehran plain due to agricultural or industrial activities has made it always be at risk and probable incoming damages. Large spatial baselines and temporal de-correlation have always limits the use of the conventional SAR interferometry for the purpose of subsidence monitoring in regions with high deformations velocity. Therefore, in this research, the InSAR technique based on persistent scatterer (PS) is carried out to analyze Tehran subsidence. The main objective of this paper is to determine the average annual subsidence rate of some urban regions in Tehran using a time series of Sentinel-1A (S-1A) and ENVISAT-ASAR data. PS pixels remain coherent in long spatio-temporal intervals and thus less affected by the lack of radar images correlation. However, inappropriate temporal distribution of data in this technique makes it difficult to derive the absolute value of the phase due to an integer ambiguity. Therefore, the use of S-1A dataset with short temporal baselines would help identify the phase ambiguity. Results prove considerable subsidence in southern part of the case study area for all-time series analysis which further proves the arrival of subsidence to urban parts. Results are cross-validated using the different image tracks and besides, absolute validation are employed on subsidence velocity maps based on precise leveling and GPS observations.

Keywords

References

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