| 森林植被遥感分类研究 |
| |
| 引用本文： | 袁金国.森林植被遥感分类研究[J].河北师范大学学报(自然科学版),1999,23(2):274-277. |
| |
| 作者姓名： | 袁金国 |
| |
| 作者单位： | 河北师范大学资源与环境科学学院 |
| |
| 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，最易于区分阔地林与针叶林的是ＰＶＩ，其次为ＴＳＡＶＩ和ＭＳＡＶＩ，但后者计算较复杂，不同针对树种间的ＲＶＩ差值较大，因此采用ＲＶＩ来区分各针树
|
| 关 键 词： | 森林植被 遥感分类 植被指数 森林遥感 |
Study of Forest Vegetation Classification with Remote Sensing |
| |
| YUAN,Jin,guo.Study of Forest Vegetation Classification with Remote Sensing[J].Journal of Hebei Normal University,1999,23(2):274-277. |
| |
| Authors: | YUAN Jin guo |
| |
| Abstract: | 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. |
| |
| Keywords: | vegetation classes classification with remote sensing vegetation index |
| 本文献已被 CNKI 维普 等数据库收录！ |
|
