台湾相思树叶片叶绿素含量的高光谱参量模型研究

在BRDF测试系统环境下利用ASD便携式野外光谱仪采集台湾相思树叶片光谱,并用UV2450-紫外可见分光光度计对观测叶片进行叶绿素含量测定.采用原始光谱、导数光谱技术及连续统去除法对光谱数据进行分析,得到估算台湾相思树叶绿素含量的光谱特征参数(DV575、BNA726、BNC726).结合实测叶绿素含量数据,构建台湾相思树叶片叶绿素含量的光谱参量模型.结果表明DV575与BNC726两参量构建模型估测精度较高,其中用一阶导数光谱变量估测精度最高,均达到83%以上.

Investigation of Chlorophyll Content in Acacia confusa Leaves Using a Hyperspectral Remote Sensing Estimation Model

Under BRDF ASD test system conditions,it acquired the spectrum of Acacia confusa leaves using a portable field spectrometer and determined the chlorophyll content in the studied leaves using a UV2450 spectrophotometer.By analyzing the obtained spectrum data using the original spectroscopy,the derivative spectroscopy,and the continuum removal method,it determined the spectral parameters(DV575,BNA726 and BNC726) to estimate the chlorophyll content of Acacia confusa leaves and subsequently built a spectral model to describe the chlorophyll content of the Acacia confusa leaves.The results indicated that DV575 and BNC726 exhibited high accuracy in the process of model construction,especially when combined with the first derivative spectra,which were both higher than 83%.