Full Text:   <1246>

CLC number: TP7.5;S511

On-line Access: 

Received: 2002-12-02

Revision Accepted: 2003-02-26

Crosschecked: 0000-00-00

Cited: 12

Clicked: 3349

Citations:  Bibtex RefMan EndNote GB/T7714

-   Go to

Article info.
1. Reference List
Open peer comments

Bio-Design and Manufacturing  2021 Vol.4 No.6 P.727~733

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


Share this article to: More

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 D, 2021, 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 D",
volume="4",
number="6",
pages="727~733",
year="2021",
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 D
%V 4
%N 6
%P 727~733
%@ 1869-1951
%D 2021
%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 D
VL - 4
IS - 6
SP - 727
EP - 733
%@ 1869-1951
Y1 - 2021
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.

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

Reference

[1]Bai, B.Z.and Tang, X.J., 1993.Testing Technology of Plant Physiology.China Science and Technology Press, Beijing, China (in Chinese).

[2]Blackburn,G.A., 1998.Spectral indices for estimating photosynthectic pigment concentrations: A test using senescent tree leaves.International Journal of Remote Sensing,19(4):657-675.

[3]Card,D.H., Peterson,D.L.and Matson,P.A.,1988.Prediction of leaf chemistry by the use of visible and near infrared reflectance spectroscopy.Remote Sensing of Environment,26(2):123-147.

[4]Carter,G.A.,1998.Reflectance bands and indices for remote estimation of photosynthesis and stomatal conductance in pine canopies.Remote Sensing of Environment,63(1):61-72.

[5]Chappelle,E.W.,Kim,M.S.and McMurtrey,J.E., 1992.Ratio analysis of reflectance spectra(RARS):an algorithm for the remote estimation of the concentrations of chlorophylla,chlorophyllb and the carotenoid in soybean leaves.Remote Sensing of Environment, 39(3):239-247.

[6]Chen, Z.,Elvidge, C.D.and Groeneveld,D.P., 1998.Monitoring seasonal dynamics of arid land vegetation using AVIRIS data.Remote Sensing of Environment,65(3):255-266.

[7]Dawson, T.P.,Curran,P.J.,North,P.R.J.and Plummer,S.E.,1999.The propagation of foliar biochemical absoption features in forest canopy reflectance: a theoretical analysis.Remote Sensing of Environment, 67(2):147-159.

[8]Goetz,S.J.and Prince,S.D,1996.Remote sensing of net primary production in boreal forest sands.Agricultural and Forest Meteorology, 78(3-4):149-179.

[9]Gong, P., Pu, R.and Miller,J.R.,1995.Coniferous forest leaf area index estimation along the Oregon transact using compact airborne spectrographic image data.Photogrammetric Engineering and Remote Sensing, 61(9):1107-1117.

[10]Penuelas,J.,Baret, F.and Filella,I.,1995.Semi-empirical indices to assess carotenoids/chlorophylla ratio from leaf spectral reflectance.Photosynthetica, 31(1):221-230.

[11]Pu, R.and Gong, P., 2000.Hyperspectral Remote Sensing and its Applications.Higher Education Press, Beijing, China, p.205-206 (in Chinese).

[12]Thomas, J.R.and Gausman,H.W., 1977.Leaf reflectance versus leaf chlorophyll and carotenoid concentration for eight crops.Agronomy journal,69(2):799-802.

[13]Yoder,B.J.and Pettigrew-Crosby,R.E.,1995.Predicting nitrogen and chlorophyll content and concentrations from reflectance spectra (400-2500nm) at leaf and canopy scales.Remote Sensing of Environment, 53(3):199-211.

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?

Please provide your name, email address and a comment





Journal of Zhejiang University-SCIENCE, 38 Zheda Road, Hangzhou 310027, China
Tel: +86-571-87952783; E-mail: cjzhang@zju.edu.cn
Copyright © 2000 - Journal of Zhejiang University-SCIENCE