基于高光谱的法国梧桐和毛白杨叶片叶绿素含量反演模型研究

Studies on Leaf Chlorophyll Content Retrieval Model of Platanus orientalis L and Populus tomentosa Carr Based on Hyperspectral

利用ASD便携式野外光谱仪和SPAD-502叶绿素计,实测了落叶阔叶树法国梧桐(Platanus orientalis L)和毛白杨(Populus tomentosa Carr)叶片的高光谱反射率与叶片绿度,并对原始光谱反射率及一阶导数光谱与叶片绿度进行了相关分析;采用导数光谱数据敏感波段建立了叶绿素含量估算模型,法国梧桐和毛白杨模型的确定性系数R2分别为0.7791和0.6858;采用相关系数较大的波段作为BP和RBF人工神经网络模型的输入变量,分别进行了叶绿素含量的估算,结果表明,BP和RBF神经网络模型预测效果均良好,在预测精度上,RBF略优于BP神经网络模型.

Hyperspectral reflectance and green degree ofPlatanus orientalis L andPopulus tomentosa Carr leaves were measured by the ASD portable spectrometer and the portable chlorophyll meter SPAD-502,respectively,and the relativity between spectral reflectance,first derivative spectral reflectance and leaf green degree was analyzed.The chlorophyll content retrieval models based on the sensitive bands of the first derivative spectra were established,and the determination coefficient R2 of models ofPlatanus orientalis...