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

被引:21
作者
Cheng, Qian [1 ]
Huang, Jing-Feng [1 ]
Wang, Xiu-Zhen [1 ]
Wang, Ren-Chao [1 ]
机构
[1] Inst. of Agric. Remote Sensing, Zhejiang Univ.
来源
Journal of Zhejiang University: Science | 2003年 / 4卷 / 06期
基金
中国国家自然科学基金;
关键词
Correlation; Hyperspectral reflectance; Pigment contents; Rice leaves;
D O I
10.1631/jzus.2003.0727
中图分类号
学科分类号
摘要
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. 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 of 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 carotenoid 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.
引用
收藏
页码:727 / 733
页数:6
相关论文
共 13 条
[1]  
Bai B.Z., Tang X.J., Testing Technology of Plant Physiology, (1993)
[2]  
Blackburn G.A., Spectral indices for estimating photosynthectic pigment concentrations: A test using senescent tree leaves, International Journal of Remote Sensing, 19, 4, pp. 657-675, (1998)
[3]  
Card D.H., Peterson D.L., Matson P.A., Prediction of leaf chemistry by the use of visible and near infrared reflectance spectroscopy, Remote Sensing of Environment, 26, 2, pp. 123-147, (1988)
[4]  
Carter G.A., Reflectance bands and indices for remote estimation of photosynthesis and stomatal conductance in pine canopies, Remote Sensing of Environment, 63, 1, pp. 61-72, (1998)
[5]  
Chappelle E.W., Kim M.S., McMurtrey J.E., 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, pp. 239-247, (1992)
[6]  
Chen Z., Elvidge C.D., Groeneveld D.P., Monitoring seasonal dynamics of arid land vegetation using AVIRIS data, Remote Sensing of Environment, 65, 3, pp. 255-266, (1998)
[7]  
Dawson T.P., Curran P.J., North P.R.J., Plummer S.E., The propagation of foliar biochemical absoption features in forest canopy reflectance: A theoretical analysis, Remote Sensing of Environment, 67, 2, pp. 147-159, (1999)
[8]  
Goetz S.J., Prince S.D., Remote sensing of net primary production in boreal forest sands, Agricultural and Forest Meteorology, 78, 3-4, pp. 149-179, (1996)
[9]  
Gong P., Pu R., Miller J.R., Coniferous forest leaf area index estimation along the Oregon transact using compact airborne spectrographic image data, Photogrammetric Engineering and Remote Sensing, 61, 9, pp. 1107-1117, (1995)
[10]  
Penuelas J., Baret F., Filella I., Semi-empirical indices to assess carotenoids/chlorophylla ratio from leaf spectral reflectance, Photosynthetica, 31, 1, pp. 221-230, (1995)