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首页> 外文期刊>Geoscience and Remote Sensing, IEEE Transactions on >Integration of InSAR Time-Series Analysis and Water-Vapor Correction for Mapping Postseismic Motion After the 2003 Bam (Iran) Earthquake
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Integration of InSAR Time-Series Analysis and Water-Vapor Correction for Mapping Postseismic Motion After the 2003 Bam (Iran) Earthquake

机译：InSAR时间序列分析和水汽校正的集成，用于绘制2003年巴姆（伊朗）地震后的震后运动

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摘要

Atmospheric water-vapor effects represent a major limitation of interferometric synthetic aperture radar (InSAR) techniques, including InSAR time-series (TS) approaches (e.g., persistent or permanent scatterers and small-baseline subset). For the first time, this paper demonstrates the use of InSAR TS with precipitable water-vapor (InSAR TS $+$ PWV) correction model for deformation mapping. We use MEdium Resolution Imaging Spectrometer (MERIS) near-infrafred (NIR) water-vapor data for InSAR atmospheric correction when they are available. For the dates when the NIR data are blocked by clouds, an atmospheric phase screen (APS) model has been developed to estimate atmospheric effects using partially water-vapor-corrected interferograms. Cross validation reveals that the estimated APS agreed with MERIS-derived line-of-sight path delays with a small standard deviation (0.3–0.5 cm) and a high correlation coefficient (0.84–0.98). This paper shows that a better TS of postseismic motion after the 2003 Bam (Iran) earthquake is achievable after reduction of water-vapor effects using the InSAR TS $+$ PWV technique with coincident MERIS NIR water-vapor data.
机译：大气水汽效应代表了干涉合成孔径雷达（InSAR）技术的主要局限性，包括InSAR时间序列（TS）方法（例如，持久或永久散射体和小的基线子集）。本文首次演示了将InSAR TS与可沉淀的水汽（InSAR TS $ + $ PWV）校正模型一起用于变形映射。我们使用中等分辨率成像光谱仪（MERIS）近红外（NIR）水汽数据来对InSAR大气进行校正。对于NIR数据被云遮挡的日期，已经开发了大气相位屏蔽（APS）模型，以使用部分经水蒸气校正的干涉图估算大气影响。交叉验证表明，估计的APS与MERIS得出的视线路径延迟一致，标准延迟小（0.3-0.5厘米），相关系数高（0.84-0.98）。本文表明，使用InSAR TS + PWV技术和同时的MERIS NIR水汽数据降低水汽效应后，可以实现2003年巴姆（伊朗）地震后更好的震后运动TS。

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