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A new approach for the validation of coarse-resolution satellite soil moisture products

机译:一种粗辨卫星土壤水分产品验证的新方法

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Soil moisture plays a crucial role in the terrestrial water cycle. It can be estimated by manual measurements for a small watershed, while this is very time-consuming when applied in the large scale. The remote sensing technology provides a new approach to monitor the soil moisture in a large scale. However, it should be evaluated before being used. In the study, the L-band Microwave Emission of the Biosphere model (L-MEB) model was used to retrieve the soil moisture based on the airborne brightness temperature in the Heihe River Basin, then the retrieved soil moisture was aggregated to 25km based on the area weighting factor method. The aggregated soil moisture was used to validate the two AMSR2 data: the JAXA soil moisture products and the LPRM soil moisture products. The results shows the JAXA SM products has an underestimation compared with the pixel-averaged SM, and the LPRM SM products is higher than the pixel-averaged SM.
机译:土壤水分在陆地水循环中起着至关重要的作用。可以通过手动测量为小流域来估计,而在大规模中应用时,这是非常耗时的。遥感技术提供了一种以大规模监测土壤水分的新方法。但是,它应该在使用之前进行评估。在研究中,生物圈模型(L-MEB)模型的L波段微波排放用于根据黑河流域的空气亮度温度检索土壤水分,然后检出的土壤水分汇总到25km区域加权因子方法。聚集的土壤水分用于验证两种AMSR2数据:JAXA土壤水分产品和LPRM土壤水分产品。结果表明,与像素平均SM相比,JAXA SM产品具有低估,LPRM SM产品高于像素平均SM。

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