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Interferometric synthetic aperture radar atmospheric correction: GPS topography-dependent turbulence model

机译:干涉式合成孔径雷达大气校正:GPS地形相关的湍流模型

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Over the last two decades, repeat pass interferometric synthetic aperture radar (InSAR) has been widely used as a geodetic technique for measuring the Earth's surface, including topography and deformation. Like other astronomical and space geodetic techniques, repeat pass InSAR is limited by the variable spatial and temporal distribution of atmospheric water vapor. In this paper, a topography-dependent turbulence model (GTTM for short) has been developed using GPS data only to produce zenith path delay difference maps for InSAR atmospheric correction. Application of the GTTM model to ERS Tandem data over the Los Angeles Southern California Integrated GPS Network area has shown that use of the GTTM can reduce water vapor effects on interferograms from ~10 mm down to ~5 mm, which is of great interest to a wide community of geophysicists. The principal finding of this paper is that interpolation methods should be applied to zenith total delay (ZTD) differences from different times instead of ZTD values themselves for the purpose of InSAR atmospheric correction. This is crucial to reduce (if not completely remove) topographic effects on ZTD values.
机译:在过去的二十年中,重复通过干涉合成孔径雷达(InSAR)已被广泛用作测量地球表面(包括地形和变形)的大地测量技术。像其他天文和空间大地测量技术一样,重复通过InSAR受到大气水蒸气的时空分布变化的限制。在本文中,仅使用GPS数据开发了与地形有关的湍流模型(简称GTTM),以生成用于InSAR大气校正的天顶路径延迟差异图。 GTTM模型在洛杉矶南加州综合GPS网络区域上的ERS串联数据中的应用表明,使用GTTM可以将水蒸气对干涉图的影响从约10 mm降低到约5 mm,这对于一个地球物理学家的广泛社区。本文的主要发现是,为了进行InSAR大气校正,应将插值方法应用于不同时间的天顶总延迟(ZTD)差异,而不是ZTD值本身。这对于减少(如果不能完全消除)地形对ZTD值的影响至关重要。

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