遥感像元场景模型是遥感机理研究的关键组成，通过调查光与遥感像元场景的相互作用，可以帮助人们理解遥感信号产生的机理，并验证遥感物理模型。从植被野外测量、三维结构真实遥感像元场景的参数化描述、场景数据结构、场景生成方法和流程等方面阐释了遥感像元场景模型。植被的野外测量和统计是结构真实场景的基础；场景生成方法为：（1）使用L系统生成结构真实植株，进而生成遥感像元场景；（2）按统计规则直接生成遥感像元场景。试验表明该遥感像元场景模型可以生成符合遥感像元统计规律的三维场景，是准确和便捷地计算光与植被相互作用的可靠基础。

Scene model is one of key components of remote sensing physical models. Here, a computer scene model(CSM) was introduced. The CSM includes the parameterization of three dimensional landscape scene of a remote sensing pixel, data structure for the scene, methods and procedures for rendering the scene. In the CSM, generation of 3D architecturally realistic scene of a remote sensing pixel is based on vegetation measurement and statistics. Shape, size, base height and orientation of their leaves, and total height of corn and wheat firstly are measured by hand and by digital photogrammetry on field. Then the original data are normalized to obtain the feature parameter set of corn and wheat, which is used to rebuild single plant in computer. A remote sensing pixel usually consists of many plants, and positions of these plants in a pixel falls four interspersing patterns: random, regular, cluster, and transition. The CSM employs two methods to make 3D picture of a remote sensing pixel. The first rendering approach is based on the L system, which is applicable to plant with small number of big leaf, such as corn. The second one depends on statistics, which is applicable to plant with big number of small leaf, such as tree and grass. The 3D remote sensing pixel scene is used not only to show 3D pictures, but also to compute distribution function of energy by reflected or emitted by the remote sensing pixel. In order to do the calculation effectively and expediently, CMS records all polygons, which make up of the 3D scene, in a text file on an array of polygon. The polygon file is the ending of the CSM, and also the beginning of the pixel energy distribution calculation. The CMS produces successfully a 3D scene of a remote sensing pixel, which accords with statistics of the remote sensing pixel.