棉 花 学 报      Cotton Science    2006 ，18(2)：115-119

Estimating Modeling of Cotton Dry Matter Accumulation Based on Hyperspectral Vegetation Index
HUANG Chun-yan¹, WANG Deng-wei¹, CHEN Guan-wen², YUAN Jie-1, QI Ya-qin¹, CHEN Yan¹, CHENG Cheng¹
(1. Key Laboratory of Oasis Ecology Agriculture of Xinjiang Bingtuan, Shi Hezi University, Shi Hezi 832003, China; 2. Xinjiang Academy of Agricultural Reclamation, Shihezi 832000，China)

Abstract：Utilizing Multivariate Regression Modeling and Spectral Derivative to establish five function pattern cotton dry matter accumulation modeling based on Ratio Vegetation Index(RVI) and Normalized Difference Vegetation Index (NDVI), all correlation coefficient is highly positive ( α=1%，n=96), based on RVI modeling has a higher precision than NDVI does, hyperbolic curve fitting, exponential curve fitting and logarithmic curve fitting have further improved analysis against cotton dry matter accumulation. Analysis of correlation between the first derivative spectra data and dry matter yield, the maximum value of correlation coefficient (r=0.6920^**) in waveband 748 nm.Using derivative spectra data at waveband 748 nm, the regression modeling of dry matter accumulation has been established, and derivative spectra has improved the prediction of cotton dry matter accumulation, so it has shown a potential capacity in application.
Key words：cotton; hyperspectral; vegetation index; dry matter accumulation    [Full Text,2175KB]