| Hyperspectral remote sensing is just more than 20 years history from the emergence and eevclopment to now.however, it gets booming development and has been widely employed in many research fields(geography,geolgy,ecology,vegetaion study,environmental science,atmospheric science and marine sciences). Hyperspectral remote sensing's peculiarity is that that can note the continual spectral curves of ground objects with hyperspectral resolution at the same time in specifical waveband range. Because hyperspectral remote sensing can obtain and provide more subtle spectral information. It is propitious to select clear bands for identifying single object spectrum, which made it largely used in vegetation remote sensing.And now hyperspectral remote sensing becomes strongly tool of surface observation in land planting.The main contents of the study are as following:1. Sets up The models of single phase spectrum evaluates yield. Filters up the best spectrum evaluates yield variable. When processing tomato best list the spectrum evaluates asstes the model mainly draws up properly by Three timesfunction ,power equationand S model is better.2. Sets up the models of multi-temporal spectrum evaluates yield.The precision of models during two periods of duration compound spectral evaluate yield of the multi-temporal and initial harvest stage combination were higher, The precision of models during three periodsof duration compound spectra evaluate yield of multi-temporal, initial harvest stage and harvesting time combination evaluate yield were higher, The precision of models of four periods of duration compoundspectra evaluate yield were the highest.3. Sets up Regression Models of main agronomy parameters and the best spectrum variable ,of main agronomy parameters and processing tomato yield by filtering up the most remarkable correlation Spectrum Variables with main agronomy parameters in different growth stages.Finds out the best fitting degree regression equation of agronomy parameters and spectrum variable in different growth stages .4.Setting up the models of compound spectrum evaluating yield. Sieve out LAI , BPPF and Chl concentrationfor main agriculture parameter. BPPF were the best agriculture parameter.5.Among seven compound spectrum estimate the yield models of spectrum variable - agronomy parameters-yield,Their models precisions of four periodscompound spectrum estimate the yield models are all the best.while Their models precisions are better than models precisions of single phase spectrum evaluates yield and models precision of multi-temporal spectrum evaluates yield... |
