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Bicontinuous/DMRT model applied to active and passive microwave remote sensing of terrestrial snow

机译:双连续/ DMRT模型应用于地面雪的主动和被动微波遥感

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Snow and Cold Land Processes (SCLP) is a decadal satellite mission of NASA with both the passive microwave sensors and the active Synthetic Aperture Radar (SAR). Bicontinuous / DMRT model is used to model the brightness temperature and radar backscatter. We apply the approach to the ground measurement data of NoSREx campaign which has multichannel measurements in both active and passive remote sensing. The same physical parameters are used in the input of bicontinuous / DMRT for all frequency channels and for both active and passive. The bicontinuous / DMRT model prediction is compared with the microwave measurement data of NoSREx. Good agreement has been achieved for multi-channels for both active and passive remote sensing.
机译:雪和冷陆流程(SCLP)是NASA的Decadal卫星使命,具有被动微波传感器和主动合成孔径雷达(SAR)。 BIContInuly / DMRT模型用于模拟亮度温度和雷达反向散射。我们将该方法应用于NoSrex运动的地面测量数据,其在主动和被动遥感中具有多通道测量。相同的物理参数用于所有频率通道的BIContinuous / DMRT的输入和用于主动和被动。将BIContinof / DMRT模型预测与NoSrex的微波测量数据进行比较。对于主动和被动遥感的多渠道,已经实现了良好的一致性。

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