随着植被指数在草原估产中的广泛应用,不同研究区内最佳植被指数的选取为更多学者所探讨。基于Spot5遥感数据计算NDVI等6种植被指数,结合野外调查方法,对精准定位的样点进行不同植被指数与生物量进行相关性分析,确定研究区最佳植被指数。结果表明:1)Spot5数据计算6种植被指数与样点生物量之间其存在着明显的相关性。2)样点生物量与NDVI,SAVI相关系数R分别为0.823,0.802,相关系数R>0.8,高度相关; PVI,DVI,RVI,MASVI相关系数R分别为0.738,0.735,0.672,0.671,相关系数R介于0.3～0.8之间,中度相关。3)试验性的应用相关性分析方法确定研究区最佳植被指数,为研究区确定其他植被特征指标如植被盖度,以及条件相似的研究区提供快速、有效的植被指数选取方法。
With the wide application of vegetation index in grassland yield estimation,more scholars discussed about the optimal selection of vegetation indexes in different research areas.Extraction of six common vegetation indexes was done.Based on Spot-5 remote sensing data and combined with field survey methods,different vegetation index and biomass correlation analysis of precise positioning of the sample points was conducted and the best vegetation indices of the study area determined.The results showed that:(1) there existed a clear correlation between the 6 vegetation indexes and the biomass samples with Spot-5 image data.(2) Samples of biomass and NDVI,SAVI correlation coefficient R are 0.823,0.802,the correlation coefficient R>0.8,is highly correlated;PVI,DVI,RVI,MASVI correlation coefficient R are 0.738,0.735,0.672,0.671 correlation coefficient R is between 0.3～0.8,which shows a moderate correlation.(3)the best vegetation indexes of study area were determined with the experimental correlation analysis method.Other indicators of vegetation characteristics such as vegetation cover,and similar conditions in the study area for the study area provides a fast,efficient method of selecting vegetation indexes.
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