Correlation Analysis Between Spectral Data and Chlorophyll of Rice and Maize

Correlation Analysis Between Spectral Data and Chlorophyll of Rice and Maize
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DOI:
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发表时间:
2000
期刊:
Journal of Basic Science and Engineering
影响因子:
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通讯作者:
W. Chang-shan
W. Chang-shan
中科院分区:
其他
文献类型:
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作者:
W. Chang-shan

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本文对水稻和玉米的叶片反射光谱与叶绿素浓度、冠层反射光谱与叶片叶绿素浓度、冠层反射光谱与叶片叶绿素密度进行了相关分析。通过一阶导数分析和“红边”分析,结果表明:叶片反射光谱与叶片叶绿素浓度的相关性较高,而冠层反射光谱与叶片叶绿素浓度的相关性较低。冠层光谱与叶片叶绿素密度的拟合度(R2)很高.该关系可用于由水稻和玉米冠层反射光谱估算叶绿素密度。
In this paper, the correlation analysis between foliar reflectance spectra and chlorophyll concentration, between canopy reflectance spectra and foliar chlorophyll concentration, and between canopy reflectance spectra and foliar chlorophyll density of rece and maize have been conducted. Through first dervative analysis and “red edge” andlysis, result shows that the level of correlation between foliar reflectance spectra and foliar chlorophyll concentration is high, but the level of correlation between canopy reflectance spectra and foliar chlorophyll concentration is low. Moreover, the Goodness of Fit ( R 2 ) values between canopy spectra and foliar chlorophyll density is very high. This relationship can be used to estimate the chlorophyll density by the canopy reflectance spectra of rice and maize.