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Multiple scattering effects in vegetated surfaces at L-band and C-band for remote sensing of soil moisture

机译:L波段和C波段植被表面的多重散射效应,用于遥感土壤水分

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Summary form only given. The goal of the NASA SMAP L-band Active and Passive mission is to retrieve soil moisture with 4% accuracy for vegetated surfaces that have vegetation water content (VWC) less than 5 kg/m2. The satellite was launched in January 2015. After the failure of the radar on July 7, 2015, there has been increasing interest in using the Sentinel C-band radar data for the active part of the mission. In using a physical model at L-band and C-band to treat the vegetation effects for such VWC, the common approaches were the distorted Born approximation [1] and the radiative transfer theory [2] under the single scattering approximation. However, the distorted Born approximation assumes small optical thickness which is not valid at C-band [3]. In treating the scattering from a collection of dielectric cylinders, the common approach is to use the independent scattering model by adding the scattering cross sections of cylinders. More advanced approaches include the coherent model [4, 5] which takes into account the phase difference among scatterers that are in close proximity of each other. To account for multiple scattering effects which are important when the optical thickness and scattering albedo of the vegetation layer are significant, we recently used an iterative approach of radiative transfer equation including backscattering enhancement for corn layer at L-band [6]. In this paper, we study two kinds of multiple scattering. One is continuing iterative radiative transfer with backscattering enhancement for various crop types at C-band. Using the iterative approach, the contribution to backscattering from each scattering mechanism is separated and thus the cyclical terms are also identified by examining the duality of the paths for each scattering mechanism. The second multiple scattering effects are more appropriately called near field wave interactions. For this case we consider cylinders in close proximity, and we solve Maxwell equations numerically. The near field interactions cause the internal field to be different from the independent scattering. The full wave solutions go beyond the coherent approach which only considers phase factor without accounting for the change of internal field. Numerical results of these multiple scattering models are illustrated and compared with the prior approaches of distorted Born approximation, independent scattering and coherent model. After taking into account the near field interaction between scatterers, the resulted absorption coefficient are different from the single scattering model, because the original internal field induced by the incident field alone is affected by the scattered field from the other scatters. The scattering pattern is also different from that of the coherent model [5]. In the coherent model which is the coherent addition of the scattering field from each scatterer, the effects of the scattered field from the other scatterers are ignored when calculating the scattering field from a scatterer. Thus the internal field of each cylinder calculated in the coherent model is inaccurate when the cylinders are in clusters.
机译:仅提供摘要表格。 NASA SMAP L波段主动和被动任务的目标是,对植被含水量(VWC)小于5 kg / m2的植被表面,以4%的精度恢复土壤湿度。该卫星于2015年1月发射。在2015年7月7日雷达失灵之后,人们越来越有兴趣使用Sentinel C波段雷达数据进行任务的活动。在使用L波段和C波段的物理模型来处理这种VWC的植被效应时,常见的方法是在单散射近似下的扭曲Born近似[1]和辐射传递理论[2]。但是,失真的玻恩近似假设光学厚度较小,这在C波段无效[3]。在处理来自一组电介质圆柱体的散射时,通常的方法是通过添加圆柱体的散射截面来使用独立的散射模型。更高级的方法包括相干模型[4,5],该模型考虑了彼此紧邻的散射体之间的相位差。为了解决多重散射效应,这在植被层的光学厚度和散射反照率很重要时很重要,我们最近使用了一种辐射传递方程的迭代方法,包括对L波段的玉米层进行反向散射增强[6]。在本文中,我们研究了两种多重散射。一种是在C波段对各种作物类型继续进行具有反向散射增强的迭代辐射传递。使用迭代方法,分离了每个散射机制对反向散射的贡献,因此,通过检查每个散射机制的路径对偶性,还可以确定循环项。第二多重散射效应更合适地称为近场波相互作用。对于这种情况,我们考虑圆柱体非常接近,并用数值方法求解麦克斯韦方程。近场相互作用导致内部场不同于独立散射。全波解决方案超越了仅考虑相位因素而不考虑内部场变化的相干方法。说明了这些多重散射模型的数值结果,并将其与扭曲的伯恩近似,独立散射和相干模型的现有方法进行了比较。在考虑了散射体之间的近场相互作用之后,所得吸收系数与单个散射模型有所不同,因为单独由入射场引起的原始内部场会受到其他散射体的散射场的影响。散射模式也不同于相干模型[5]。在相干模型中,它是来自每个散射体的散射场的相干相加,在计算来自散射体的散射场时,会忽略来自其他散射体的散射场的影响。因此,当圆柱成簇时,在相干模型中计算出的每个圆柱的内部场都是不准确的。

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