Estimating of Cotton LAI and Chlorophyll Density by Using Hyperspectral Data in Xinjiang

Using hyperspectral non-imaging spectrometer,the hyperspecctral data of cotton five key growing stages in Xinjiang were recorded.Analysis of reflectance and derivative spectral data characteristics,and of the relationship between cotton canopy leaf area index(LAI),chlorophyll density(CH.D) and hyperspectal data utilizing regression methods,have shown that NDVI(the normalized difference vegetation index) is logarithmic correlated with LAI,and the correlation coefficient is highly positive(r=0.9123**,n=20).At waveband 729 nm the first derivative spectra data are highly positive with CH.D(r=0.9372**,n=20).The estimating model,based on this band value has an estimated accuracy 84.3%,the standard error 0.234g·m-2,RMSE=0.1569.Consequently,this study is available to estimate the cotton canopy LAI and CH.D by using the hyperspectral data in Xinjiang.