Hyperspectral remote sensing estimation models for aboveground fresh biomass of spring wheat on Loess Plateau

A field plot experiment was conducted to measure the canopy spectral reflectance and aboveground fresh biomass of four spring wheat varieties (Dingxi 24,Longchun 8139,Gaoyuan 602 and Dingxi 38) at their different growth stages and under different planting densities. The variations of the aboveground fresh biomass with growth stages as well as the correlations of the aboveground fresh biomass with canopy reflective spectrum and first derivative spectrum were analyzed,and based on these,hyperspectral remote sensing estimation models for spring wheat aboveground fresh biomass were established,with the characteristic bands and their combinations strongly correlated with the aboveground fresh biomass as the variables. The tests with experimental data showed that models y=3.9498 ln F780+7.0596 and y=512.99 D7191.0174 had the highest estimation level,with the root mean square error,relative error,and correlation coefficient between estimated and measured values being 0.2173,10.45% and 0.854,and 0.2188,9.96%,and 0.853,respectively. These two models could be used as the best models for the estimation of spring wheat aboveground fresh biomass on Longzhong Loess Plateau.