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Working towards a global-scale vegetation water product from SMOS optical depth

机译:从SMOS光学深度着手打造全球规模的植被水产品

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In this study, vegetation optical depth from ESA's Soil Moisture and Ocean Salinity (SMOS) satellite mission is combined with other existing remote sensing, meteorological and literature data in order to obtain values of gravimetric vegetation water content (M). The methodology combines an effective medium model valid at passive microwave frequencies with a vegetation dielectric constant model. The algorithm is calibrated for 11 global vegetation classes. The resulting product consists of temporally dynamic ∼25 km global grids of M. The first maps clearly show seasonal differences in vegetation water, which vary for the different continental regions due to variations in e.g. latitude, climate and landcover type. This new vegetation water product is unique and offers important complementary information to existing vegetation indices.
机译:在这项研究中,将ESA的土壤水分和海洋盐度(SMOS)卫星任务中的植被光学深度与其他现有的遥感,气象和文献数据相结合,以获得重量法植被含水量(M)的值。该方法结合了在被动微波频率下有效的有效介质模型和植被介电常数模型。该算法针对11种全球植被类别进行了校准。生成的产品由时间动态的〜25 km的全球M网格组成。第一张地图清楚地显示了植被水分的季节性差异,该差异随大陆区域的不同而变化,例如由于纬度,气候和土地覆盖类型。这种新的植被水产品是独特的,并且可以为现有植被指数提供重要的补充信息。

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