摘要
首先对森林植被类型识别方法的研究概况进行了综述，在总结国内外研究成果的基础上，提出采用植被指数进行植被分类．根据长春净月潭地区植被冠层反射率数据以及土壤线方程ＮＩＲ＝１．５０６Ｒ＋０．００７８６，通过对多种植被指数的计算与分析，得出植被指数与植被类型的关系：最易于区分阔叶林与针叶林的是ＰＶＩ，其次为ＴＳＡＶＩ和ＭＳＡＶＩ，但后者计算较为复杂；不同针叶树种间的ＲＶＩ差值较大，因此采用ＲＶＩ来区分各针叶树种．不同的植被类型可用ＰＶＩ和ＲＶＩ相结合来识别．
The study methods of identifying forest vegetation classes are described.based on this study,forest vegetation classification based on vegetation index is proposed.According to reflectance data of vegetation canopy and soilline equation NIR= 1.506R +0.0076 in Changchun Jingyuetan district,many vegetation index are calculated and analyzed.The relationships of vegetation index and vegetation classes are:PVI identifies broadleaf forest and conifer forest the most easily,the next are TSAVI and MSAVI,but their calculation is complex.RVI values of different conifer trees vary obviously,so RVI can classify conifer trees.In a word,combination of PVI and RVI can classify different vegetation.
出处
《河北师范大学学报（自然科学版）》
CAS
1999年第2期274-277,共4页
Journal of Hebei Normal University：Natural Science
关键词
森林植被
遥感分类
植被指数
森林遥感
vegetation classes
classification with remote sensing
vegetation index
