Research Of Crop Canopy Structural Parameter By Using Hyperspectral Vegetation Indices Of Cotton

Hyperspectral data of cotton canopy were measured with ASD FieldSpec during different growth stages.and simultaneously.various canopy structural parameters(The major canopy structural parameters LAI, MFIA, TCDP, TCRP, K, MLD, AFM and ADM. ) were acquired. Excel software etc are used to process data. Multifactor statistics technique analysis are adopted to discuss the correlation between cotton canopy structural parameters and hyperspectral vegetation indices. And then the hyperspectral remote sensing estimation models for different canopy structural parameters are constructed based on the results of correlation analysis, finally, the predictive precisions are analyzed for some chosen models in order to determine the best estimation models for every canopy structrul parameters.1.The correlation analysis of canopy structural parameters and hyperspectral vegetation indices presentThe results indicated that RVI ,NDVI, PVI,DVI,RDVI,PRI,VARI-700,MGVI, NDI and SAVI could be used to estimate AFM;RVI,NDVI, VARI-700,MNSI and MSAVI for LAI have1% highly positive;in those vegetation indices ,the maximum value of correlation coefficientis0.8279betweenRVIandAFM.RVI,NDVI,VARI-700,GVI,MYVI,ASBI,AGVIandNDI coubld be used to estimate ADM. In those vegetation indices, the maximum value of correlation coefficient is 0.7164 betweenRVIand ADM.It is found that using RVI prediction AFM,LAIandADM is good.Thereafter, the regression models of retrieving canopy structural parameters, based on hyperspectral vegetation indices obtainable from remotely sensing data, were also established respectively. Hyperspectral vegetaion indices could be considered as a sensitive indicator.fot cotton nutrition status by non-destruction means on a large scale.2.We analyse the regular pattern of hyperspectral vegetation indices along with the different growth stages. The results showed that the significantly correlation between RVI and cotton canopy cover (r=0.6735**,n=32). So we can using NDVI to estimate cotton canopy cover. model has the highest correlation coefficient (r=0.7161**,n=32). It is feasible for using RMSE of extracting cotton canopy cover (RMSE=0.1527g/cm2).The study indicates that it can play a vital role in probiding time-specific and time-critical information by using hyperspectral remote sensing for precision farming.3.For cotton at different growth stages, conducted statistical correlation analysisbetween various canopy structural parameters and 32 hyperspectral vegetation indices, detected out the optimal spectral parameters to make a sound foundation for set up models by using spectral parameters, including statistical correlation analysis on plant MFIA,TCDP,TCRP,K,MLD,LAI, AFM,ADM and canopy spectral reflectance spectra. Set up statistical regression model for various cotton canopy structural parameters ,based on hyperspectral vegetation indices.