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A Radiosity-based Model to Compute the Radiation Transfer of Soil Surface

机译:基于光能传递模型的土壤表面辐射传递

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摘要

A good understanding of interactions of electromagnetic radiation with soil surface is important for a further improvement of remote sensing methods. In this paper, a radiosity-based analytical model for soil Directional Reflectance Factor's (DRF) distributions was developed and evaluated. The model was specifically dedicated to the study of radiation transfer for the soil surface under tillage practices. The soil was abstracted as two dimensional U-shaped or V-shaped geometric structures with periodic macroscopic variations. The roughness of the simulated surfaces was expressed as a ratio of the height to the width for the U and V-shaped structures. The assumption was made that the shadowing of soil surface, simulated by U or V-shaped grooves, has a greater influence on the soil reflectance distribution than the scattering properties of basic soil particles of silt and clay. Another assumption was that the soil is a perfectly diffuse reflector at a microscopic level, which is a prerequisite for the application of the radiosity method. This radiosity-based analytical model was evaluated by a forward Monte Carlo ray-tracing model under the same structural scenes and identical spectral parameters. The statistics of these two models' BRF fitting results for several soil structures under the same conditions showed the good agreements. By using the model, the physical mechanism of the soil bidirectional reflectance pattern was revealed.
机译:充分了解电磁辐射与土壤表面的相互作用对于进一步改进遥感方法很重要。本文建立并评估了基于光能传递的土壤定向反射因子(DRF)分布的分析模型。该模型专门用于研究耕作条件下土壤表面的辐射传递。土壤被抽象为具有周期性宏观变化的二维U形或V形几何结构。模拟表面的粗糙度表示为U型和V型结构的高度与宽度之比。假定通过U形或V形沟槽模拟的土壤表面阴影对土壤反射率分布的影响大于粉质和粘土基本土壤颗粒的散射特性。另一个假设是土壤在微观水平上是完美的漫反射体,这是应用光能传递方法的先决条件。在相同的结构场景和相同的光谱参数下,通过前向蒙特卡洛射线追踪模型评估了这种基于光能传递的分析模型。这两种模型在相同条件下对几种土壤结构的BRF拟合结果的统计数据显示出良好的一致性。通过该模型,揭示了土壤双向反射模式的物理机理。

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