Full TGIF Record # 237668
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Web URL(s):http://cyxb.lzu.edu.cn/EN/article/downloadArticleFile.do?attachType=PDF&id=2605
    Last checked: 02/11/2016
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Author(s):Qian, Yu-rong; Yang, Feng; Li, Jian-long; Gan, Xiao-yu; Yang, Qi; Wang, Wei-yuan
Author Affiliation:Qian, Yang, Li, Gan, and Yang: School of Life Science, Nanjing University, Nanjing; Qian: Software College, Xinjiang University, Urumqi; Wang: Confidential Department, Xinjiang Military Area Command, Urumqi, China
Title:Estimation of photosynthetic pigment of Festuca arundinacea using hyper-spectral data
Source:[Caoye Xuebao] [Acta Prataculturae Sinica]. Vol. 18, No. 4, August 20 2009, p. 94-102.
# of Pages:9
Publishing Information:[Lanzhou Shi, China]: ["Cao Ye Xue Bao" Bian Ji Wei Yuan Hui]
Abstract/Contents:"Photosynthetic pigments of vegetation are a primary product and important materials that can indirectly reflect health status and photosynthetic capacity of vegetation. Hyper-spectral remote sensing provides the possibility for rapid, large-scale monitoring of vegetation chlorophyll change. In this study, canopy reflectance spectra and chlorophyll content of cool-season Festuca arundinacea were measured and their relationship analyzed. The top-five chlorophyll sensitive parameters were selected from 12 hyperspectral characteristic variables, and then used to establish a vegetation index model to estimate photosynthetic pigments. 1) The relationship between Chlb and the original spectrum was the best among the photosynthetic pigments: Chla, Chlb, Chls, and Cars. 2) The first derivative spectra gave a better relationship (correlation coefficient: -0.897) with vegetation photosynthetic pigments near 700 nm wavelength than the other two hyperspectrum forms. {R and D[log(1/R)]. Finally, after comparing the correlation between photosynthetic pigment concentrations and hyperspectral data, the most significant variables (Rg, Dλ700, D[log(1/R730)], RVIb, Rch, CARI} were selected from twelve variables to establish the regression model of photosynthetic pigments. All of these provide a theoretical basis for rapid, non-invasive detection of nutritional status and meadow quality of F. arundinacea."
Note:Abstract also appears in English
"Sum No. 81"
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Qian, Y.-r., F. Yang, J.-l. Li, X.-y. Gan, Q. Yang, and W.-y. Wang. 2009. Estimation of photosynthetic pigment of Festuca arundinacea using hyper-spectral data. (In Chinese) [Caoye Xuebao] [Acta Prataculturae Sinica]. 18(4):p. 94-102.
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DOI: 10.11686/cyxb20090414
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    Last checked: 02/11/2016
    Requires: PDF Reader
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