安徽农业科学2023，Vol.51Issue(24)：5-8,23,5.DOI:10.3969/j.issn.0517-6611.2023.24.002
基于优化光谱指数的夏玉米地上生物量估算
Estimation of Aboveground Biomass of Summer Maize Based on Optimized Spectral Index
摘要
Abstract
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.关键词
夏玉米/地上生物量/高光谱/光谱指数/波段优化算法Key words
Summer maize/Above-ground biomass(AGB)/Hyperspectral/Spectral index/Band optimization algorithm分类
农业科学引用本文复制引用
王涵,张王菲,杨浩..基于优化光谱指数的夏玉米地上生物量估算[J].安徽农业科学,2023,51(24):5-8,23,5.基金项目
国家重点研发项目(2021YFD2000102). （2021YFD2000102）
