Estimation of Aboveground Biomass of Summer Maize Based on Optimized Spectral Index
Summer maize was used as the research object,firstly,ground hyperspectral data were obtained for four key fertility stages(pulling stage,trumpeting stage,tasseling stage,filling stage),and the above-ground biomass(AGB)of each fertility stage was measured empirically.Secondly,waveband optimization algorithms based on arbitrary waveband combinations were constructed for six different waveband combination forms of two-band and three-band spectral indices,respectively.Then,the 12 constructed spectral indices were correlated with the ground-truthed AGB,from which the best correlated spectral index was selected as the optimal spectral index to construct the AGB estimation model for summer maize at full fertility.Finally,the performance of the optimal spectral index for estimating AGB at each critical fertility stage of summer maize was systematically evaluated.The results showed that the optimal three-band spectral index TBI6(760,925,895)screened based on the band optimization algorithm had good correlation with the AGB of summer maize at all fertility stages and the whole fertility peri-od,and the AGB estimation model constructed by it had high accuracy,which could provide a reference for the rapid and nondestructive esti-mation of AGB of summer maize at the whole fertility period and the integration and development of AGB monitoring devices.
国家科技期刊平台
NSTL
万方数据
维普
