ÃÞ »¨ ѧ ±¨   Cotton Science   2008£¬20(5)£º368-371

 

 

Relationships Analysis between Cotton Chlorophyll Content£¬Chlorophyll Density and Hyperspectral Data
WANG Deng-wei£¬HUANG Chun-yan£¬ZHANG Wei£¬MA qin-jian£¬ZHAO Peng-ju
(Key Laboratory of Oasis Ecology Agriculture of Xinjiang Bingtuan / College of Agronomy£¬Shi hezi University£¬ Shi Hezi Xinjiang 832003£¬China)

Abstract£ºSingle leaf and canopy hyperspectral reflectance data were recorded at the key growth stages in a cotton filed experiment with cultivars and planting densities level£¬at the meantime£¬cotton single leaf chlorophyll content(CHL.C) and canopy chlorophyll density (CH.D.) were tested in the laboratory.Utilizing multivariate regression method analyzes the correlation between hyperspectral data and its CH.D.The results showed that the maximum correlation coefficients of CH.D occurred at the reflectance bands of 762 nm£¨R CH.D=0.8134**£¬n=94£©£»the highest correlation coefficients between the first derivative spectral data and CHL.C £¬CH.D both occurred at band of 750 nm £¬ based on the first derivative value of band at 750 nm £¬ the linear function model was established (RCHL.C=0.7382**£¬RMSE=0.1831£¬n=66£»RCH.D=0.9027**£¬RMSE=0.3078£¬n=94). This research shows that chlorophyll information of reflecting cotton growing status can be preciously obtained by using hyperspectral remote sensing.
Key words£ºcotton£»hyperspectrum£»chlorophyll content£»chlorophyll density£»correlation analysis
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