利用高光谱信息检测作物叶绿素含量信息是田间作物长势诊断的重要研究内容。 利用水稻光谱和叶绿素含量田间实测数据, 从作物叶绿素含量不同, 光谱曲线峰谷波形有“高矮胖瘦”形态变化的观点出发, 提出光谱曲线峰谷波形中特征边的上升、 下降速率以及组成峰谷波形两边的夹角等新型特征量, 利用归一化光谱信息, 分析了这些变量与水稻叶绿素含量间的相关关系。 研究结果显示: (1）可见光波段范围520～740 nm之间的归一化光谱反射率与叶绿素含量间呈良好的负相关关系; (2）绿峰反射光谱曲线特征边的变化速率及绿峰两边的夹角等变量与水稻叶绿素含量具有较好的相关性, 表明利用这些新型变量开展叶绿素含量高光谱无损监测成为可能, 这将为利用高光谱信息开展作物长势与营养诊断提供新的思路和方法。

It is of significance to monitor chlorophyll content with hyperspectral data for crop growth diagnosis in field. In the study, with the point of view that spectral curve shapes display “tall, low, fat and thin” morphological changes, we proposed some new characteristic parameters from spectral curve such as the ascensive or degressive velocities of segments composing peak or valley shapes in spectral curve, and angles formed by the lines fitting the segments of two sides of peak or valley curves, and used the normalized spectra to analyze correlation between these parameters and rice chlorophyll content. The result shows that (1) there is a good negative correlation between rice chlorophyll content and normalized reflectance spectra from 520-740 nm ; (2) characteristic parameters from green peak region of spectral curve display better correlation with rice chlorophyll content, which makes it possible to utilize the parameters to monitor crop chlorophyll content, and will provide new ideas and methods for carrying out crop growth diagnosis with hyperspectral data.