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首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >Characterization of higher-order scattering from vegetation with SMAP measurements
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Characterization of higher-order scattering from vegetation with SMAP measurements

机译:用微量测量表征植被植被高阶散射

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Vegetation cover absorbs and scatters L-band microwave emission measured by SMOS and SMAP satellites. Misrepresentation of this phenomena results in uncertainties when inferring, for instance, surface soil moisture in retrieval algorithms that commonly utilize the tau-omega model which is most applicable for a weakly scattering medium. In this study, we investigate the degree to which multiple-scattering is prevalent over a range of land cover classifications (from lightly vegetated grasslands to dense forests) at the satellite scale by explicitly accounting for multiple-scattering in a first-order radiative transfer model, developed here. Even though the tau omega model with effective parameters can possibly capture higher-order scattering contributions, deliberately partitioning scattering into different components is required to estimate multiple-scattering properties. Specifically, we aim to determine how one can partition between zeroth and first-order radiative transfer terms within a retrieval algorithm without ancillary information, determine whether this method can detect first-order scattering at the SMAP measurement scale without ancillary information, and quantify the magnitude of detected scattering. A simplified first-order radiative transfer model which characterizes single interactions of microwaves with a scattering medium is developed for implementation within retrieval algorithms. This new emission model is implemented within a recently developed retrieval algorithm, the multi-temporal dual channel algorithm (MT-DCA), which does not require ancillary land use information. Scattering parameters as well as SM and vegetation optical depth (tau) are retrieved simultaneously in Africa and South America using the first year of SMAP brightness temperature measurements on a 36 km grid. Specifically, an introduced time invariant first-order scattering coefficient (omega(1)) is retrieved representing microwave emission interaction with the canopy. We find t
机译:植被覆盖吸收和散射通过SMOS和SMAP卫星测量的L波段微波排放。这种现象的虚假陈述导致在预测中推断出的不确定性,例如,在检索算法中的表面土壤水分,通常利用Tau-Omega模型,这些模型最适用于弱散射介质。在这项研究中,通过在一阶辐射转移模型中明确占多次散射,研究多散散射在一系列土地覆盖分类(来自轻型植被草地到致密森林)的程度普遍存在卫星规模中的程度,在这里开发。即使具有有效参数的Tau Omega模型可能捕获高阶散射贡献,也需要将散射分散到不同的组件中来估计多散射属性。具体而言,我们的目标是确定一个在没有辅助信息的检索算法内可以在检索算法内分配如何在没有辅助信息的情况下,确定该方法是否可以在没有辅助信息的情况下以SMAP测量刻度检测一阶散射,并量化幅度检测到的散射。一种简化的一阶辐射传输模型,其特征在于利用散射介质的微波的单个相互作用,用于在检索算法内实现。该新发射模型在最近开发的检索算法中实现,多时间双通道算法(MT-DCA),这不需要辅助土地使用信息。在非洲和南美洲使用36 km网格上的第一年在非洲和南美洲同时检索散射参数以及SM和植被光学深度(TAU)。具体地,检索引入的时间不变的一阶散射系数(OMEGA(1))表示与冠层的微波发射相互作用。我们发现了

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