The Study On Cotton Yield Estimate By Spectral Method Based On Hyperspectra

Hyperspectral remote sensing can note the continual spectral curves of ground objects with hyperspectral resolution at the same time in specifical waveband range. They may form particular super-multidimensional spectral space to bring the application of remote sensing emphasize on space information on spectral dimension for obtaining more spectral information.This will provide parameters and basis for quantitive analysis of the biophysical and biochemical processes on the ground surface. It has high spectral resolution (generally less than 10nm), strong waveband continuity (several hundreds and thousands wavebands from 0.4 um to 2.5 um and a great deal of spectral information. Its spectral resolution is commonly less than the half absoring width (about 20-40nm) of common objects. Therefore the data and pictures obtained by hyperspectral remote sensing are callable of distinguishing objects having diagnostic characteristics with adequate spectral resolution. It has wide application foreground.The main contents of the study are as following:1.Anti-atmospheric vegetation index VARI₇00 is the best spectrum evaluates yield the variable. The models of spectrum evaluates yield mainly draws up properly by Quadratic function and Three times function is better When cotton best list.2.The precision of models during two periods of duration compound spectral evaluate yield of the budding peak stage and flowering peak stage combination were higher, The precision of models during three periods of duration compound spectra evaluate yield of budding peak stage, budding peak stage and flowering peak stage combination evaluate yield were higher, The precision of models of four periods of duration compound spectra evaluate yield were the highest.3.The leaf area (LAI) with yield by a cubic regulation fitting best, specially in abundant flowering season by anti- atmospheric vegetation index VARI_green estimate leaf area index (LAI) a cubic regulation fitted was best, fresh leaf chlorophyll contains (Chl) with yield by index number regulation fitted was best, Cotton Fresh living creature quantity of single stub (WM) with yield by index number regulation fitted was best.4.Setting up the models of compound spectrum evaluating yield. Sieve out LAI , WM and Chl concentration for main agriculture parameter. WM were the best agriculture parameter.5.The models precision of spectrum variable - Fresh living creature quantity of single stub were the best.The models precision of spectrum variable - leaf area index were better.The models precision of spectrum fresh leaf chlorophyll compound to contain(Chl)were worse.The models precision of the best spectrum changes and the best agronomy compound to evaluate yield were the worst. The models precision of four kinds of compound spectra evaluate yield is higher than other models.