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: 5797
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.
[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?