森林工程2016，Vol.32Issue(6)：1-9,9.
杏树落果前后叶绿素含量的高光谱估算模型
Hyperspectral Estimation Models of the Chlorophyll ContentBefore and After Fruit Drop of Apricot Tree
摘要
Abstract
In order to seek a rapid,simple and non-destructive model for apricot chlorophyll content estimation,the chlorophyll content of saimaiti apricot (Prunus anneniaca L) leaves and hyperspectral reflectance of leaves were taken as data sources to analyze the correlation relationships between the chlorophyll content and leaf original spectrum (R),differential spectrum(R′),and the vegetation index of whole band combinations.The sensitive wave bands and vegetation index were used to build the multiple linear regression and nonlinear estimate models for chlorophyll content prediction and the accuracy of the model was evaluated.The results showed that:① the prediction accuracy differential spectrum used for apricot chlorophyll content estimation was significantly higher than the original spectral reflectance,and the prediction accuracy based on the sensitive wavelengths estimation model was lower than that based on vegetation index;②Compared different modeling schemes,among the sensitive band models,the established multivariate linear regression model based on the original spectrum was relatively stable.And among the vegetation index models,the built quadratic term model base on the canopy chlorophyll index CCI (749,409) in July and based on vegetation index DCI (772,759) in August was the most optimal ,with the correlation coefficient of 0.585 9 and 0.571 0,respectively.This study could be used to provide reference for better application of hyperspectral data in apricot chlorophyll content estimation关键词
高光谱/赛买提杏/叶绿素含量Key words
hyperspectral/saimaiti apricot/chlorophyll content分类
农业科技引用本文复制引用
贾永倩,王振锡,吴智乐,丁雅,董淼..杏树落果前后叶绿素含量的高光谱估算模型[J].森林工程,2016,32(6):1-9,9.基金项目
新疆维吾尔自治区高校科研计划科学研究重点项目(XJEDU2013I16) （XJEDU2013I16）
国防科工局高风专项(95-Y40B02-9001-13/15-01-01) （95-Y40B02-9001-13/15-01-01）
中国博士后科学基金项目(2015M572668XB) （2015M572668XB）
