黑龙江农业科学Issue(7)：136-140,5.
基于环境减灾小卫星数据叶面积指数的反演
Leaf Area Index Inversion Based on the Environmental Satellite Data
摘要
Abstract
The leaf area index(LAI)is one of the most important parameters that reflect the farmland informa-tion .Therefore ,LAI play an important role in the situation of agricultural remote sensing .Basing on field sur-vey data ,the correlations between the HJ-CCD data and the parameters of maize and rice in Bin county were systematically analyzed ,and by adopting LAI estimation models ,including simple linear model ,polynomial model and logistic model ,optimal inversion were conducted .The results showed that NDVI had the greatest correlation with LAI ,suggesting that the HJ-CCD data could be used to estimate LAI of maize and rice .Among the three models ,the polynomial model could greatly reduce LAI estimation error ,with the accuracy reached 0 .805 ,and 0 .810 .关键词
环境星/归一化植被指数/叶面积指数Key words
HJ-CCD/NDVI/LAI分类
农业科技引用本文复制引用
..基于环境减灾小卫星数据叶面积指数的反演[J].黑龙江农业科学,2013,(7):136-140,5.
