利用POV-ray快速计算三维冠层的四分量比例及孔隙率, 在与计算机模拟模型对比结果、验证其可靠性的基础上, 针对植被真实结构模型的主要参数对冠层四分量比例和孔隙率的敏感性进行分析。敏感性分析结果表明: 当冠层为垄行结构时, 相对于其他因素, 行结构对四分量比例和孔隙率的影响占主导, 因此当植被冠层为垄行结构时, 四分量比例和孔隙率的变化较连续冠层更加复杂; 集聚指数可以有效的控制叶片的空间分布模式, 进而影响到视场中植被与土壤的相对面积比例, 对于四分量比例和孔隙率结果有较大影响; 叶倾角分布类型对四分

The fractions of four components (sunlit leaves, shaded leaves, sunlit soil and shaded soil) and gap fraction are characteristic geometric parameters of canopy’s structure, and have great influence on radiative transfer of the vegetation. In this paper, POV-ray software was introduced to efficiently and accurately calculate the four components’ fractions and gap fraction of three-dimensional (3D) canopies. With the good agreements of computed four components’ fractions and gap fraction between POV-ray and Radiosity-Graphics combined Model (RGM) based on the same 3D canopy structure, more 3D structures generated by the Clumped Architecture Model of Plants (CLAMP) model were used to study the characteristics of four compo-nents’ fractions and gap fraction. The key parameters of CLAMP model include sowing scheme, clumping index, average leaf angle (ALA) and leaf area index (LAI). By analyzing the sensitivity of these parameters to four components’ fractions and gap fraction, the changing features of four components’ fractions and gap fraction were found. The results show that: clumping index can effectively control the spatial distribution of leaves, which affects the relative proportion of vegetation and soil in the scene. Therefore, clumping index has a great impact on the distribution pattern of four components’ fractions and gap fraction. Average leaf angle influences the anisotropy of the results. When the average leaf angle is larger, the magnitude of anisotropy is higher. Compared with other parameters, the impact of row effect on the four components’ fractions and gap fraction is primary when the scene’s row structure is obvious. Therefore, when the canopy is in a row structure, the characteristic change of four compo-nents’ fractions and gap fraction is more complex than that of homogeneous canopy. At the same time, the results of row canopy in three typical growing stages were compared, which shows that soil has a higher contribution to the four components’ fractions and gap fraction than that of vegetation at the early stage. With the increase of leaf area index, the influence of vegetation on the result is gradually enhanced and the fraction of sunlit leaves shows more apparent anisotropy. The research of this paper shows that POV-ray is a powerful tool to quantitatively study vegetation by remote sensing technology, and has potential of wider ap-plications.