国土资源遥感Issue(4)：95-100,6.DOI:10.6046/gtzyyg.2012.04.16
利用不同植被指数估算植被覆盖度的比较研究
A Comparative Study of Different Vegetation Indices for Estimating Vegetation Coverage Based on the Dimidiate Pixel Model
摘要
Abstract
ASD Field Spec Pro FRTM spectroradiometer was used to measure the spectral response of the vegetable and grass at different vegetation coverage levels. The data were applied to calculate six vegetation indices, i. e. , NDVI (normalized difference vegetation index) , DVI (difference vegetation index) , RVI (ratio vegetation index) , MVI (modified vegetation index) , MSAVI (modified soil adjusted vegetation index) and GEMI (global environment monitoring index). Then the best combination of spectral bands was analyzed. Furthermore, the performance of different vegetation indices was investigated when they were used to estimate the vegetation coverage by using the dimidiate pixel model. The results show that, for the green vegetable, the best combinations of bands in the spectral region from 620 to 740 nm and from 780 to 900 nm have the best correlation with the vegetation index, whereas for the grass, the best combinations of bands are from 620 to 750 nm and from 760 to 900 nm, with the correlation coefficients of the two cases being all larger than 0. 8. The bands of Landsat7 and HJ -1A CCD1 simulated according to the spectral response function were employed to calculate the six vegetation indices. The average overall accuracy for estimating the vegetation fraction by DVI and MSAVI is 83.7% and 79.5% respectively, indicating that they are superior to the other four vegetation indices as the input of vegetation index for the dimidiate pixel model.关键词
植被覆盖度/植被指数/像元二分模型Key words
vegetation coverage/ vegetation index/ dimidiate pixel model分类
信息技术与安全科学引用本文复制引用
徐爽,沈润平,杨晓月..利用不同植被指数估算植被覆盖度的比较研究[J].国土资源遥感,2012,(4):95-100,6.基金项目
国家重点基础研究发展计划(973计划)项目(编号:2010CB950701-1,2005CB121108-6)和江苏省高校"青蓝工程"项目共同资助. （973计划）
