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Journal of Zhejiang University SCIENCE A 2003 Vol.4 No.6 P.727-733

http://doi.org/10.1631/jzus.2003.0727


In situ hyperspectral data analysis for pigment content estimation of rice leaves


Author(s):  CHENG Qian, HUANG Jing-feng, WANG Xiu-zhen, WANG Ren-chao

Affiliation(s):  Institute of Agricultural Remote Sensing & Information Application, Zhejiang University,Hangzhou 310029, China

Corresponding email(s):   qiancheng525@yahoo.com.cn

Key Words:  Pigment contents, Hyperspectral reflectance, Rice leaves, Correlation


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CHENG Qian, HUANG Jing-feng, WANG Xiu-zhen, WANG Ren-chao. In situ hyperspectral data analysis for pigment content estimation of rice leaves[J]. Journal of Zhejiang University Science A, 2003, 4(6): 727-733.

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Abstract: 
Analyses of the correlation between hyperspectral reflectance and pigment content including chlorophyll-a, chlorophyll-b and carotenoid of leaves in different sites of rice were reported in this paper. The hyperspectral reflectance of late rice during the whole growing season was measured using a Spectroradiometer with spectral range of 350-1050 nm and resolution of 3 nm. The chlorophyll-a, chlorophyll-b and carotenoid contents in rice leaves in rice fields to which different levels of nitrogen were applied were measured. The chlorophyll-a content of upper leaves was well correlated with the spectral variables. However, the correlation between both chlorophyll-b and caroteniod and the spectral variables was far from that of chlorophyll-a. The potential of hyperspectral reflectance measurement for estimating chlorophyll-a of upper leaves was evaluated using univariate correlation and multivariate regression analysis methods with different types of predictors. This study showed that the most suitable estimated model of chlorophyll-a of upper leaves was obtained by using some hyperspectral variables such as SDr, SDb and their integration.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

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pepephyo@No address<pepephyo@gmail.com>

2011-03-17 09:03:45

How about other components such as protein content RuBP etc?

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