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通过研究不同玉米品种叶片SPAD值与高光谱参数的关系,建立玉米叶片SPAD值估测模型,并对模型进行品种间精度检验。通过两年试验,测定不同玉米品种的叶片SPAD值及其高光谱数据,综合分析叶片SPAD值与高光谱反射率、反射率一阶导数及其光谱参数的相关关系,对玉米叶片SPAD值估测模型进行构建。玉米叶片SPAD值与高光谱反射率最敏感波段在550和710 nm附近,反射率一阶导数最敏感波段出现在500~750 nm范围内。叶片SPAD值与单波段反射率的相关性要高于其一阶导数,以550 nm附近光谱反射率构建的模型对大多数品种的叶片SPAD预测值平均误差最小。
By studying the relationship between SPAD value and hyperspectral parameters of different maize varieties, the SPAD value estimation model of maize leaves was established and the accuracy of the model was tested. Through two years’ experiment, the leaf SPAD value and its hyperspectral data of different maize varieties were determined, and the correlation between leaf SPAD value and hyperspectral reflectance, the first derivative of reflectance and its spectral parameters were comprehensively analyzed to estimate the SPAD value Model to build. The most sensitive bands of SPAD value and hyperspectral reflectance of corn leaves were around 550 and 710 nm, and the most sensitive bands of the first derivative of reflectivity appeared in the range of 500-750 nm. The correlation between leaf SPAD value and single-band reflectance is higher than the first-order derivative, and the model with the spectral reflectance around 550 nm has the lowest average error of SPAD predictive value for most varieties.