Center for Advanced Land Management Information Technologies, School of Natural Resources, University of Nebraska-Lincoln, Lincoln, Nebraska, USA.
Am J Bot. 2009 Oct;96(10):1861-8. doi: 10.3732/ajb.0800395.
The anthocyanin and chlorophyll contents in leaves provide valuable information about the physiological status of plants. Thus, there is a need for accurate, efficient, and practical methodologies to estimate these biochemical parameters of vegetation. In this study, we tested the performance and accuracy of several nondestructive, reflectance-based techniques for estimating anthocyanin and chlorophyll contents in leaves of four unrelated species, European hazel (Corylus avellana), Siberian dogwood (Cornus alba =Swida alba), Norway maple (Acer platanoides), and Virginia creeper (Parthenocissus quinquefolia), with widely variable pigment content and composition. An anthocyanin reflectance index, which uses reflectances in the green and red edge spectral bands, and a modified anthocyanin reflectance index, employing, in addition, the near-infrared (NIR) band, were able to accurately estimate leaf anthocyanin for all species taken together with no reparameterization of algorithms. Total chlorophyll content was accurately estimated by a red edge chlorophyll index that uses spectral bands in the red edge and the NIR. These approaches can be used to estimate anthocyanin and chlorophyll nondestructively and allow the development of simple handheld field instrumentation.
叶片中的花青素和叶绿素含量为植物的生理状态提供了有价值的信息。因此,需要准确、高效且实用的方法来估算植被的这些生化参数。在本研究中,我们测试了几种非破坏性、基于反射率的技术在估算欧洲榛(Corylus avellana)、山茱萸(Cornus alba=Swida alba)、挪威枫(Acer platanoides)和五叶地锦(Parthenocissus quinquefolia)四种不同物种叶片中花青素和叶绿素含量的性能和准确性,这些物种的色素含量和组成差异很大。使用绿光和红边光谱带反射率的花青素反射率指数和采用近红外(NIR)波段的改良花青素反射率指数可以准确估算所有物种的叶片花青素,而无需对算法进行重新参数化。使用红边和近红外光谱带的红边叶绿素指数可以准确估算总叶绿素含量。这些方法可用于非破坏性地估算花青素和叶绿素,并可开发出简单的手持式现场仪器。