基于色彩参数和高光谱参数估测风箱果属植物叶片色素含量OA北大核心CSTPCD

In order to achieve rapid and non-destructive detection of pigment content and photosynthetic performance in leaves of three different colors of Physocarpus,in the growing season,the pigment content,color parameters and hyperspectral reflectance of the leaves of the three test materials at different leaf positions were determined,and the leaf pigment content estimation model was established by multiple stepwise regression and partial least squares regression analysis,and the accuracy was tested.The results showed that the spectral reflection characteristics of Physocarpus amurensis and Physocarpus opulifolius var.luteus were similar,and Physocarpus opulifolius'Summer Wine'was different from the other two at the green light peak and near infrared light.The spectral reflectance of the three was Physocarpus opulifolius var.luteus>Physocarpus amurensis>Physocarpus opulifolius'Summer Wine'.The pigment estimation model based on partial least squares had the highest accuracy,among which,the modeling and testing R2 values of leaf color parameters and the contents of total chlorophyll,anthocyanin in Physocarpus amurensis and anthocyanin in Physocarpus opulifolius'Summer Wine'were all above 0.68 and the highest was 0.89.The modeling R2 values of the hyperspectral parameters and the contents of chlorophyll a,chlorophyll b,total chlorophyll,carotenoid and anthocyanin in Physocarpus amurensis and Physocarpus opulifolius var.luteus were all above 0.79 and the highest was 0.98,while the testing R2 values were above 0.64 and the highest was 0.91.The accuracy of leaf pigment estimation model based on hyperspectral parameters was higher than that based on leaf color parameters.The advantages of partial least squares regression model in the estimation of pigment content in leaves of three color systems of Physocarpus were verified,and a high-precision estimation model for leaf pigment was established.