桉树叶片光合色素含量高光谱估算模型

色素在植物的生理生态过程中非常重要,利用高光谱数据,揭示光谱反射率上特征波段与光合色素含量间的关系将有助于理解光合色素光谱反射特征的规律,同时为利用高光谱遥感技术快速无损监测植物叶片光合色素提供了技术支持.利用野外采集的桉树叶片样本,在实验室内测定了叶片的高光谱反射率及对应的叶绿素、类胡萝卜素含量.利用光谱分析技术和统计学方法对光谱数据进行处理分析,提取了光谱特征参量,并建立叶绿素、类胡萝卜素含量与光谱特征参量间的估算模型.通过精度检验,研究结果表明以(SDr-SDb)/(SDr+SDb)为变量建立的指数模型估算效果最佳.

Hyperspectral estimation models for photosynthetic pigment contents in leaves of Eucalyptus

Pigments are of great importance in physiological and ecological processes of plants. Revealing the relationships between their characteristic bands in the spectral reflectance and the contents of photosynthetic pigments using hyperspectral data will help to understand the spectral reflectance characteristics of photosynthetic pigments and provide the technical supports for rapid non-destructive monitoring of plant photosynthetic pigments using hyperspectral remote sensing. In this paper, eucalyptus leaf samples collected in field were used to measure the hyperspectral reflectance of the leaves and the corresponding contents of chlorophyll, carotenoid in our laboratory. The spectral data were processed using spectral analysis techniques and analyzed using statistical methods to extract spectral characteristic parameters and subsequently to establish the estimation models of spectral characteristics and both chlorophyll and carotenoid contents. Precision tests proved that the best model is the exponential model using (SDr-SDb)/(SDr+SDb) as a variable, where SDr and SDb are red and blue edge areas, respectively.