CLC number: TP7.5;S511
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 0000-00-00
Cited: 12
Clicked: 5765
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.
@article{title="In situ hyperspectral data analysis for pigment content estimation of rice leaves",
author="CHENG Qian, HUANG Jing-feng, WANG Xiu-zhen, WANG Ren-chao",
journal="Journal of Zhejiang University Science A",
volume="4",
number="6",
pages="727-733",
year="2003",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2003.0727"
}
%0 Journal Article
%T In situ hyperspectral data analysis for pigment content estimation of rice leaves
%A CHENG Qian
%A HUANG Jing-feng
%A WANG Xiu-zhen
%A WANG Ren-chao
%J Journal of Zhejiang University SCIENCE A
%V 4
%N 6
%P 727-733
%@ 1869-1951
%D 2003
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2003.0727
TY - JOUR
T1 - In situ hyperspectral data analysis for pigment content estimation of rice leaves
A1 - CHENG Qian
A1 - HUANG Jing-feng
A1 - WANG Xiu-zhen
A1 - WANG Ren-chao
J0 - Journal of Zhejiang University Science A
VL - 4
IS - 6
SP - 727
EP - 733
%@ 1869-1951
Y1 - 2003
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.2003.0727
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.
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Open peer comments: Debate/Discuss/Question/Opinion
<1>
pepephyo@No address<pepephyo@gmail.com>
2011-03-17 09:03:45
How about other components such as protein content RuBP etc?