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

  • Materials & Biotechnology
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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 asSD r,SD b and their integration.

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Authors and Affiliations

  1. Institute of Agricultural Remote Sensing & Information Application, Zhejiang University, 310029, Hangzhou, China

    Cheng Qian, Huang Jing-feng, Wang Xiu-zhen & Wang Ren-chao

Authors
  1. Cheng Qian
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  2. Huang Jing-feng
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  3. Wang Xiu-zhen
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  4. Wang Ren-chao
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Corresponding author

Correspondence to Cheng Qian.

Additional information

Project (No. 40171065) supported by the National Natural Science Foundation of China.

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Qian, C., Jing-feng, H., Xiu-zhen, W. et al. In situ hyperspectral data analysis for pigment content estimation of rice leaves. J. Zheijang Univ.-Sci. 4, 727–733 (2003). https://doi.org/10.1631/BF02851615

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  • DOI: https://doi.org/10.1631/BF02851615

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