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地理科学进展 >

2000 , Vol. 19 >Issue 1: 25 - 34

DOI: https://doi.org/10.11820/dlkxjz.2000.01.005

论文

植被遥感的Monte Carlo模拟研究

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  • 北京大学遥感与地理信息系统研究所,北京100871
陈良富(1965-),男,北京大学遥感与地理信息系统研究所博士。主要从事遥感基础理论的教学与研究工作,在《遥感学报》、《科学通报》等刊物上发表论文数篇。

收稿日期: 1999-08-01

  修回日期: 1999-09-01

  网络出版日期: 2000-01-24

基金资助

国家“九五”攀登计划资助项目(95-预-38)

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The Simulation Using Monte Carlo Method in Vegetation Canopy Remote Sensing

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  • Institute of Remote Sensing & GIS, Peking University, Beijing 100871

Received date: 1999-08-01

  Revised date: 1999-09-01

  Online published: 2000-01-24

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摘要

蒙特卡罗 ( Monte Carlo)方法是一种随机统计方法 ,计算机技术的发展使需要大样本数量的蒙特卡罗方法能在植被遥感中得到应用。本文总结了用蒙特卡罗方法模拟研究植被冠层 BRDF和热点效应的过程 ,并详细地综述了蒙特卡罗模拟研究中需要涉及的描述植被结构的参量 :LAI、LAD、G函数、孔隙率、自由路径和相位函数。

关键词： 冠层结构; 蒙特卡罗方法; 植被遥感

本文引用格式

陈良富, 徐希孺 . 植被遥感的Monte Carlo模拟研究[J]. 地理科学进展, 2000 , 19(1) : 25 -34 . DOI: 10.11820/dlkxjz.2000.01.005

Abstract

Monte Carlo method is a randomly statistic method, and this method, which needs a big number of samples, has been widely applied in the vegetation canopy remote sensing because of the technological development of computer. In this paper, authors summarized the application of Monte Carlo method on the simulation of BRDF and hot spot effect in the vegetation canopy, and gave comments in detail on the parameters: LAI, LAD, G function, gap probability, free length of photon, and leaf phase function. They describe the geometrical structure of canopy.

Key words： Canopy geometrical structure; Monte carlo method; Vegetation remote sensing

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