Atmospheric Effects on InSAR Measurements and Their Mitigation.
Atmospheric Effects on InSAR Measurements and Their Mitigation.
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DOI：
10.3390/s8095426
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发表时间：
2008-09-03
期刊：
影响因子：
--
通讯作者：
Long JP
中科院分区：
文献类型：
--
作者：
Ding XL;Li ZW;Zhu JJ;Feng GC;Long JP
干涉合成孔径雷达（InSAR）是一种强大的观测地球表面的技术，尤其适用于测绘地球的地形和变形。然而，由于雷达信号在大气中传播，大气的状态在空间和时间上都是变化的，因此InSAR测量常常受到大气的显著影响。近年来，为了更好地了解大气影响的性质和开发减轻这些影响的方法，已经作出了巨大的努力。本文对在这一领域开展的工作进行了系统的回顾。首先介绍了大气对重复通道InSAR影响的基本原理。然后讨论了对大气效应特性的研究，包括在世界各地确定的效应强度、大气效应的光谱、各向同性特性和效应的统计分布。然后回顾了为减轻大气影响而开发的各种方法，包括基于PSInSAR处理的方法，基于干涉图建模的方法，以及基于外部数据（如GPS观测、地面气象数据和卫星数据，包括MODIS和MERIS）的方法。并给出了分别利用MODIS和MERIS数据标定大气对InSAR影响的两个实例。
Interferometric Synthetic Aperture Radar (InSAR) is a powerful technology for observing the Earth surface, especially for mapping the Earth's topography and deformations. InSAR measurements are however often significantly affected by the atmosphere as the radar signals propagate through the atmosphere whose state varies both in space and in time. Great efforts have been made in recent years to better understand the properties of the atmospheric effects and to develop methods for mitigating the effects. This paper provides a systematic review of the work carried out in this area. The basic principles of atmospheric effects on repeat-pass InSAR are first introduced. The studies on the properties of the atmospheric effects, including the magnitudes of the effects determined in the various parts of the world, the spectra of the atmospheric effects, the isotropic properties and the statistical distributions of the effects, are then discussed. The various methods developed for mitigating the atmospheric effects are then reviewed, including the methods that are based on PSInSAR processing, the methods that are based on interferogram modeling, and those that are based on external data such as GPS observations, ground meteorological data, and satellite data including those from the MODIS and MERIS. Two examples that use MODIS and MERIS data respectively to calibrate atmospheric effects on InSAR are also given.
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影响因子：
8.2
作者：
Ferretti, A;Prati, C;Rocca, F
通讯作者：
Rocca, F
影响因子：
1.3
作者：
Ding, XL;Liu, GX;Chen, YQ
通讯作者：
Chen, YQ
影响因子：
8.2
作者：
Ferretti, A;Prati, C;Rocca, F
通讯作者：
Rocca, F
影响因子：
20.6
作者：
GRAHAM, LC
通讯作者：
GRAHAM, LC
影响因子：
3.9
作者：
Emardson, TR;Simons, M;Webb, FH
通讯作者：
Webb, FH