首页> 外文会议>PIA15+HRIGI15 - Joint ISPRS conference >ESTIMATION OF ATMOSPHERIC EFFECTS OF RADARSAT-2 D-InSAR PRODUCT USING GROUNDBASEDAND SPACEBORNE METEROLOGICAL DATA
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ESTIMATION OF ATMOSPHERIC EFFECTS OF RADARSAT-2 D-InSAR PRODUCT USING GROUNDBASEDAND SPACEBORNE METEROLOGICAL DATA

机译:雷达拉特 - 2 D-Insar产品的估计使用地面和星载性测量数据数据估算大气效应

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Differential Interferometric synthetic aperture RADAR (D-InSAR) has emerged as one of the influential tools for the measurement of Earth's topography deformation. The temporal variability of atmosphere plays a contaminative role in degrading the accuracy of Interferometric measurements as it causes the path delay in the propagating RADAR signal. The Ionosphere and Troposphere are the two atmospheric layers which are responsible for the path delay error in the Interferometric measurement. In this study ground based meteorological data integrated with spaceborne meteorological data was used to mitigate the path delay induced by the atmosphere on the Radarsat-2 data. In this study Jharia Coal Fields, Jharkhand, was selected where active mining has taken place since 1894. The D-InSAR was generated from Radarsat-2 data. In Troposephric path delay calculation ground based data like water vapor, temperature and humidity acquired during the time of the pass as well as spaceborne meteorological data were used as input. The TEC from IRI-2007 model was used as input to calculate the ionospheric path delay. These Ionospheric as well as Tropospehric delay was subtracted from a Differential Interferrogram to obtain atmospheric artifacts free differential interferrogram. The corrected Diffrential Interferrogram was used to delineate subsidence areas. We observed that D-InSAR and levelling results shows good agreement with each other. The Diffrential Interferomteric pairs with low coherence causes phase unwrapping problem. Therefore, only those pairs with good coherence were considered for the study. The used technique provides an opportunity to understand the contribution of Ionospehric and Tropospehric path delay effects on the D-InSAR results.
机译:差动干涉性合成孔径雷达(D-Insar)已成为测量地形变形的有影响力的工具之一。大气的时间变异性在降解干涉测量测量的准确性时起污染物作用,因为它导致传播雷达信号中的路径延迟。电离层和对流层是两个大气层,负责干涉测量的路径延迟误差。在本研究中,基于地基与星载气象数据集成的气象数据用于减轻大气在雷达拉特-2数据上引起的路径延迟。在本研究自1894年以来,选择了贾里亚煤田jharia煤炭领域的jharia煤炭领域。从雷达拉特-2数据产生D-Insar。在Troposephric路径延迟计算地面基于水蒸气,温度和湿度的基于水蒸气,在通过的时间以及星球传播气象数据中被用作输入。来自IRI-2007模型的TEC用作输入以计算电离层路径延迟。这些电离层以及对流层延迟从差动干扰图中减去了大气伪影自由差动干扰图。校正的衍射干扰图用于描绘沉降区域。我们观察到D-Insar和Lifeing结果彼此表现出良好的一致。具有低相干性的衍射干扰对导致相位展开问题。因此,仅考虑了这项研究的那些具有良好一致性的对。使用的技术提供了理解离子间谍和对流层路径延迟影响对D-Insar结果的贡献的机会。

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