摘要
叶面积指数(LAI)是植被冠层结构的一个重要参数,它的改变标志着植被发生了生物物理变化。本文提出了一种利用混和模型从TM图像上获取叶面积指数的方法。首先,利用冠层反射率(FCR)模型计算并得到查找表;然后,利用从查找表得到的统计关系进行LAI制图。试验表明,该方法简单易行,并可较精确地用来反演芦苇地的叶面积指数。
Leaf area index(LAI)is a crucial parameter of vegetation canopy structure and controls a number of biophysical processes of vegetation. In this paper, a mixed model which combines the statistics model with the optical model is presented to estimate LAI from Landsat-5 TM image data. Firstly, the model calculates and outputs a lookup table (LUT) by useing of FCR model. and then, LAI mapping is conducted based on the empirical relations resulting from the LUT. The results indicate that, being simple and easy to operate, the method can be used to estimate accurately the LAI of reed marsh.
出处
《国土资源遥感》
CSCD
2005年第2期20-23,共4页
Remote Sensing for Land & Resources
基金
国家自然科学基金项目(40371081)。
关键词
叶面积指数
植被冠层
遥感
反演
模型
芦苇地
Leaf area index (LAI)
Vegetation canopy
Remote sensing
Retrieval
Model
Reed marsh
