Xu Xin-Gang, Zhao Chun-Jiang, Wang Ji-Hua, Huang Wen-Jiang, Li Cun-Jun, Liu Huan-Jun
National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China.
Guang Pu Xue Yu Guang Pu Fen Xi. 2011 Jan;31(1):188-91.
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.
利用高光谱数据监测叶绿素含量对田间作物生长诊断具有重要意义。在本研究中,从光谱曲线形状呈现“高、低、胖、瘦”形态变化的角度出发,我们从光谱曲线中提出了一些新的特征参数,如构成光谱曲线峰或谷形状的各段的上升或下降速度,以及拟合峰或谷曲线两侧线段所形成的角度,并利用归一化光谱分析这些参数与水稻叶绿素含量之间的相关性。结果表明:(1)水稻叶绿素含量与520 - 740 nm的归一化反射光谱之间存在良好的负相关;(2)光谱曲线绿色峰区的特征参数与水稻叶绿素含量表现出较好的相关性,这使得利用这些参数监测作物叶绿素含量成为可能,并将为利用高光谱数据进行作物生长诊断提供新的思路和方法。