气候变化领域集成服务门户(CCPortal): Time-series InSAR ground deformation monitoring: Atmospheric delay modeling and estimating

CCPortal

DOI	10.1016/j.earscirev.2019.03.008
	Time-series InSAR ground deformation monitoring: Atmospheric delay modeling and estimating
	Li Z.; Cao Y.; Wei J.; Duan M.; Wu L.; Hou J.; Zhu J.
发表日期	2019
ISSN	00128252
起始页码	258
结束页码	284
卷号	192
英文摘要	Spatial heterogeneity in the atmospheric refractive index causes variations in spaceborne interferometric synthetic aperture radar (InSAR) observations. The neutral atmospheric delay (i.e., the tropospheric delay) on one hand, can introduce large errors in the InSAR-derived displacements associated with earthquakes, volcanic activity, glacier motions, underground resource extraction, and many other crustal deformation phenomena. On the other hand, the tropospheric delay can be used to infer high-resolution maps of the non-differential atmospheric water vapor. Time-series InSAR techniques aim to measure geodetic and/or geophysical parameters of interest by integrating time series of SAR images or interferograms using statistical or adjustment methods, through the reduction of error sources (e.g., atmospheric delays, decorrelation noises). This contribution is intended to systematically review the properties, mitigation, and estimation of the atmospheric delays in TS-InSAR for better monitoring ground deformation. We first review the present TS-InSAR techniques and introduce the spatio-temporal characteristics of the neutral atmospheric delays observed in TS-InSAR. We then present the estimates and integration of atmospheric stochastic models for TS-InSAR applications. We construct, analyze, and illustrate a high-resolution non-differential atmospheric water vapor model from TS-InSAR observations. Finally, we present a discussion and outlook for the TS-InSAR atmospheric delay models and estimation efforts. © 2019 Elsevier B.V.
关键词	Atmospheric delay Atmospheric water vapor Interferometric Synthetic Aperture Radar (InSAR)Stochastic model Time-series InSAR (TS-InSAR)
英文关键词	atmospheric modeling; deformation; displacement; estimation method; monitoring; stochasticity; synthetic aperture radar; time series; water vapor
语种	英语
来源期刊	Earth Science Reviews
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/203479
作者单位	School of Geosciences and Info-Physics, Central South University, Changsha, Hunan 410083, China
推荐引用方式 GB/T 7714	Li Z.,Cao Y.,Wei J.,et al. Time-series InSAR ground deformation monitoring: Atmospheric delay modeling and estimating[J],2019,192.
APA	Li Z..,Cao Y..,Wei J..,Duan M..,Wu L..,...&Zhu J..(2019).Time-series InSAR ground deformation monitoring: Atmospheric delay modeling and estimating.Earth Science Reviews,192.
MLA	Li Z.,et al."Time-series InSAR ground deformation monitoring: Atmospheric delay modeling and estimating".Earth Science Reviews 192(2019).