收稿日期: 2013-02-27
修回日期: 2013-05-17
网络出版日期: 2014-03-15
基金资助
国家自然科学基金重点项目（41030743）资助
Hyperspectral estimation of chlorophyll-a concentration in soybean based on three-band model
Received date: 2013-02-27
Revised date: 2013-05-17
Online published: 2014-03-15
邵田田 , 宋开山 , 杜嘉 . 基于三波段模型的大豆叶绿素a含量估算模型[J]. 中国科学院大学学报, 2014 , 31(2) : 176 -181 . DOI: 10.7523/jssn.2095-6134.2014.02.006
As a key material for plant photosynthesis, Chlorophyll is a proxy for vegetation health. Both vegetation indices and three-band model were used to estimate soybean Chl-a concentration with in situ reflectance for soybean canopy. Furthermore, modified vegetation indices are optimized through interactive data language (IDL) to improve soybean Chl-a estimation accuracy. The results show that three-band model is an effective approach for estimating soybean Chl-a. Compared to the models based on both the original and modified vegetation indices, the three-band model achieves better performance with higher coefficient of determination (R2=0.81).
Key words： chlorophyll-a; three-band model; vegetation index; biochemical parameter
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