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《河北师范大学学报》 1999-02
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Study of Forest Vegetation Classification with Remote Sensing

YUAN Jin guo (College of Resource and Environment Science,Hebei Normal University,Shijiazhuang,050016,China)  
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.
【CateGory Index】: TP79
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