首页> 外文期刊>Geoscience and Remote Sensing, IEEE Transactions on >Three-Dimensional Humidity Retrieval Using a Network of Compact Microwave Radiometers to Correct for Variations in Wet Tropospheric Path Delay in Spaceborne Interferometric SAR Imagery
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Three-Dimensional Humidity Retrieval Using a Network of Compact Microwave Radiometers to Correct for Variations in Wet Tropospheric Path Delay in Spaceborne Interferometric SAR Imagery

机译:使用小型微波辐射计网络进行三维湿度检索,以校正星载干涉SAR图像中对流层湿路径延迟的变化

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Spaceborne interferometric synthetic aperture radar (SAR) (InSAR) imaging has been used for over a decade to monitor tectonic movements and landslides, as well as to improve digital elevation models. However, InSAR is affected by variations in round-trip propagation delay due to changes in ionospheric total electron content and in tropospheric humidity and temperature along the signal path. One of the largest sources of uncertainty in estimates of tropospheric path delay is the spatial and temporal variability of water vapor density, which currently limits the quality of InSAR products. This problem can be partially addressed by using a number of SAR interferograms from subsequent satellite overpasses to reduce the degradation in the images or by analyzing a long time series of interferometric phases from permanent scatterers. However, if there is a sudden deformation of the Earth's surface, the detection of which is one of the principal objectives of InSAR measurements over land, the effect of water vapor variations cannot be removed, reducing the quality of the interferometric products. In those cases, high-resolution information on the atmospheric water vapor content and its variation with time can be crucial to mitigate the effect of wet-tropospheric path delay variations. This paper describes the use of a ground-based microwave radiometer network to retrieve 3-D water vapor density with fine spatial and temporal resolution, which can be used to reduce InSAR ambiguities due to changes in wet-tropospheric path delay. Retrieval results and comparisons between the integrated water vapor measured by the radiometer network and satellite data are presented.
机译:星载干涉式合成孔径雷达(SAR)(InSAR)成像已被用于监视构造运动和滑坡以及改进数字高程模型已有十多年了。但是,InSAR受电离层总电子含量以及沿信号路径的对流层湿度和温度变化的往返传播延迟变化​​的影响。对流层路径延迟估计中最大的不确定性来源之一是水蒸气密度的时空变化,这目前限制了InSAR产品的质量。通过使用来自随后的卫星天桥的大量SAR干涉图来减少图像质量下降,或者通过分析来自永久散射体的长时间干涉相序列,可以部分解决此问题。但是,如果地球表面突然变形(检测是陆地上InSAR测量的主要目标之一),则水蒸气变化的影响无法消除,从而降低了干涉测量产品的质量。在那些情况下,有关大气水蒸气含量及其随时间变化的高分辨率信息对于减轻湿对流层路径延迟变化的影响至关重要。本文介绍了使用地面微波辐射计网络以良好的时空分辨率检索3-D水蒸气密度的方法,该方法可用于减少由于对流层湿路延迟变化而引起的InSAR模糊性。给出了检索结果以及辐射计网络测得的综合水蒸气与卫星数据之间的比较。

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