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

机译:验证粗分辨率卫星土壤水分产品的新方法

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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。可以通过手动测量来估算小流域,而在大规模应用时非常耗时。遥感技术提供了一种新的方法来大规模监测土壤湿度。但是,应在使用前对其进行评估。本研究以黑河流域的L波段波段微波辐射(L-MEB)模型为基础,根据黑河流域的空气传播亮度温度反演了土壤水分,然后将反演的土壤水分汇总为25km。面积加权因子法。使用汇总的土壤水分来验证两个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产品被低估了,而LPRM SM产品高于像素平均SM。

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