气候变化领域集成服务门户(CCPortal): An iterative PS-InSAR method for the analysis of large spatio-temporal baseline data stacks for land subsidence estimation

CCPortal

DOI	10.1016/j.jag.2018.09.018
	An iterative PS-InSAR method for the analysis of large spatio-temporal baseline data stacks for land subsidence estimation
	Foroughnia F.; Nemati S.; Maghsoudi Y.; Perissin D.
发表日期	2019
ISSN	15698432
起始页码	248
结束页码	258
卷号	74
英文摘要	South-west of Tehran, the capital city of Iran, is subjected to a high deformation rate due to excessive groundwater extractions. Persistent Scatterrer SAR Interferometry (PS-InSAR) technique is used to monitor Tehran's deformation. Three time series data including two Sentinel-1A (S-1A) spanning from 2014 to 2017, and an ENVISAT-ASAR data stack spanning from 2004 to 2010, are analyzed. The PS-InSAR technique does not perform well on ENVISAT-ASAR due to poor selection of PS points induced by large perpendicular baselines and strong temporal decorrelation of the dataset. In this paper, a novel Iterative PSI method (IPSI) is proposed to increase the PS points which are lost in PS-InSAR technique because of the unsuccessful derivation of the absolute phase value due to an integer ambiguity. The method selects PS points based on simultaneous analysis of their amplitude and phase. Results demonstrate that the density of PSs has been increased by about 4.5 times. Line of Sight (LOS) velocities obtained from both S-1A and ENVISAT-ASAR data analysis are highly compatible with each other, indicating the reliability of the both applied methods. The maximum cumulative displacements are estimated as 39.6 cm and 88.4 cm for Sentinel-1A and ENVISAT-ASAR datasets respectively. Moreover, the subsidence area has grown in the period between the data acquisition time. The methods are successfully validated by subsidence rates obtained from precise leveling and GPS observations. © 2018 Elsevier B.V.
英文关键词	ENVISAT-ASAR; Interferometry; PS-InSAR; Sentinel-1A; Subsidence; Tehran
语种	英语
scopus关键词	data acquisition; deformation; interferometry; Sentinel; spatial data; subsidence; synthetic aperture radar; time series; Iran; Tehran [Iran]; Tehran [Tehran (PRV)]
来源期刊	International Journal of Applied Earth Observation and Geoinformation
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/156565
作者单位	Geomatics Engineering Faculty, K.N. Toosi University of Technology, ValiAsr Street, Mirdamad cross, Tehran, 19967-15433, Iran; Purdue University, Lyles School of Civil Engineering, Geomatics, 550 Stadium Mall Drive, West Lafayette, IN 47907, United States
推荐引用方式 GB/T 7714	Foroughnia F.,Nemati S.,Maghsoudi Y.,et al. An iterative PS-InSAR method for the analysis of large spatio-temporal baseline data stacks for land subsidence estimation[J],2019,74.
APA	Foroughnia F.,Nemati S.,Maghsoudi Y.,&Perissin D..(2019).An iterative PS-InSAR method for the analysis of large spatio-temporal baseline data stacks for land subsidence estimation.International Journal of Applied Earth Observation and Geoinformation,74.
MLA	Foroughnia F.,et al."An iterative PS-InSAR method for the analysis of large spatio-temporal baseline data stacks for land subsidence estimation".International Journal of Applied Earth Observation and Geoinformation 74(2019).