随机分布颗粒层散射功率的计算及其在土壤含水量检测中的应用

T. Matsuoka, M. Tateiba
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引用次数: 1

摘要

湿土被认为是空气、土壤、束缚水和自由水的混合物;那么就可以假定它是一种致密的随机介质。L. Tsang等人(1987)从具有相干势的准晶体近似(QCA-CP)和阶梯近似的波动方程推导出稠密随机介质中的辐射传递方程。在此近似下,将随机介质视为具有有效介电常数的均匀介质,并在瑞利散射区用QCA-CP计算散射系数和消光系数。该辐射传递方程比传统的辐射传递方程(CRTE)包含了更多的散射效应,但不包括后向散射增强效应。本文考虑了由空气、湿润土层和完美导体组成的三层模型,建立了一种主动遥感土壤含水量检测方法。湿土层可以看作是一个均匀的土层,水颗粒分布密集。对于该模型,他们使用了一个稠密介质辐射传递方程(DMRTE),并根据他们的方法评估了参数,通过改变入射平面波的偏振和颗粒的分数体积来计算土层的双稳态散射系数和散射波的极化程度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Calculation of scattered power from a layer with randomly distributed particles for the application to the detection of water contents in soil
Moist soil is regarded as the mixture of air, soil, bound water and free water; then it may be assumed a dense random medium. A radiative transfer equation in a dense random medium has been derived from a wave equation with quasi-crystalline approximation with coherent potential (QCA-CP) and ladder approximation, L. Tsang et al. (1987). Under these approximations, a random medium is considered as a homogeneous medium with the effective permittivity, and the scattering and extinction coefficients are evaluated by QCA-CP in Rayleigh scattering region. The radiative transfer equation includes more scattering effects than the conventional one (CRTE), but does not include the effect of backscattering enhancement. This paper considers a three layered model, composed of air, moist soil layer and perfect conductor for developing a method for detecting water contents in soil by active remote sensing. The moist soil layer may be regarded as a homogeneous soil layer with densely distributed water particles. For this model, they used a dense medium radiative transfer equation (DMRTE) with the parameters evaluated by their method to calculate the bistatic scattering coefficients of the soil layer and the degree of polarization of scattered waves by changing the polarization of incident plane waves and the fractional volume of particles.
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