植被红外辐射统计特性理论模型

根据植被层能量热平衡方程，选取植被短波吸收率、长波发射率、热与水汽传输系数和气孔阻力为独立的随机变量，并假设它们均服从正态分布，利用Ｍｏｎｔｅ－Ｃａｒｌｏ（Ｍ－Ｃ）方法，模拟计算了植被表面红外辐射的统计特性．给出了植被表面辐射温度的概率分布，讨论了这些随机变量的空间起伏和外部环境对植被红外辐射统计特性的影响

Theoretical modeling of IR radiance statistics of vegetation canopy

Based on the heat balance equation of the vegetation canopy layer and the assumption that its short wavelength absorptance, long wavelength emissivity, heat or moisture transfer coefficient, and bulk stomatal resistance are random, uncorrelated variables with normal distribution densities, the theoretical modeling for IR radiance statistics of vegetation canopy surface is presented by Monte Carlo simulation, with the surface radiative temperature statistical distribution given. Also, the influence of the field fluctuation in the random variables or the change of external heat source change on the statistical nature of the vegetation canopy surface radiative temperature is discussed.