用六维光谱绿度值估算小麦的叶面指数  

Estimating Leaf Area Index of Wheat Canopy from 6-dimensional Spectral Greenness Value

作　　者：金仲辉[1] 张建军[1] 

机构地区：[1]北京农业大学,100094

出　　处：《遥感技术与应用》1993年第3期15-20,共6页Remote Sensing Technology and Application

基　　金：国家自然科学基金

摘　　要：介绍了一种新的植被光谱指数,即六维光谱绿度值,利用它估算小麦的叶面指数比之于国内外研究者经常使用的RVI、NDVI和PVI植被光谱指数有更好的效果,它的相关系数最大而标准偏差最小。鉴于国内不少单位拥有的便携式野外光谱仪仅附有四个波段,还计算了四维光谱绿度值,同样得到较好的效果。This paper introduces a new spectral vegetation index, 6 — dimensional spectral greenness value GN. In estimating leaf area index of wheat canopy from spectral indices, GN is better than RVI, NDVI and PVI that they are often used by many researchers because its correlation coefficient is the biggest and its residual standard error is the smallest. There is only four channels radiometer in many departments of our country,so to calculate 4 —dimensional spectral greenness value in this paper.it also get a good result.

关 键 词：六维光谱绿度 叶面指数 小麦 估算 

分 类 号：S123[农业科学—农业基础科学]