不同宽窄波段组合的光谱参量对夏玉米穗位叶氮素含量估测

doi:10.16036/j.issn.1000-2650.2019.02.002

摘要/Abstract

摘要： 【目的】利用敏感波段构建适宜的植被指数,对于提高光谱技术诊断作物营养状况的精确度具有十分重要的意义。【方法】采用单因素随机区组设计的方法,通过设置5种不同施氮处理,研究夏玉米在吐丝期穗位叶光谱反射率与氮素含量的关系,进而比较了前人的植被指数与构建的8种不同形式宽窄波段组合植被指数的优越性,并对构建的氮素含量估测模型进行精度验证。【结果】穗位叶原始光谱反射率在近红外波段（700~1000 nm）随施氮量增加而升高,与氮素含量的变化表现一致;一阶导数光谱的红边位置随施氮量增加依次为698、703、709、714和714 nm,出现“红移”现象;利用氮素敏感波段构建宽窄波段组合的植被指数与叶片氮含量进行相关性分析,优于前人所采用的植被指数;植被指数[R（800-900）-R（692-729）]/R711和植被指数[R（800-900）+R（650-670）]/R711构建的乘幂函数估测模型检验精度较高,R²和RMSE分别为0.92和0.09。【结论】利用氮素敏感波段构建的宽窄波段组合植被指数,提高了光谱参量与氮素含量的相关性,可以实现对夏玉米吐丝期氮素营养的诊断。

关键词: 夏玉米, 穗位叶氮素, 光谱, 植被指数, 宽窄波段

Abstract: 【Objective】 Constructing a suitable vegetation index using sensitive bands is of great significance for improving the accuracy of spectroscopy in the diagnosis of crop nutritional status. 【Method】The single factor randomized block design method was used to determine the relationship between spec-tral reflectance and nitrogen content in the ear leaf of the summer maize during the silking period by setting five different nitrogen treatments. The vegetation index and the advantages of the eight different forms of the combination vegetation index constructed were used to verify the accuracy of the constructed nitrogen content estimation model in this study. 【Result】 The original spectral reflectance of the panicle leaf in the near-infrared band（700-1 000 nm） increased with the increase of nitrogen application,which was consistent with the change of nitrogen content. The position of the red edge of the first derivative spectrum increases with the amount of nitrogen applied to 698 nm, 703 nm, 709 nm,714 nm and 714 nm, showing a ′red shift′ phenomenon. Correlation analysis between the vegetation index and the nitrogen content of the leaves using the nitrogen-sensitive band to construct a wide and narrow band combination is better than the vegetation index used by the predecessors. The vegetation index [R（800-900）-R（692-729）]/R711 and [R（800-900）+R（650-670）]/R711 by the power model estimation model constructed has higher accuracy, R² and RMSE are 0.92 and 0.09, respectively.【Conclusion】 The use of wide and narrow band combination vegetation index can improve the correlation between the spectral parameters and nitrogen content, and can be used to diagnose the nitrogen nutrition of summer corn in the silking period.

Key words: summer maize, ear nitrogen, spectrum, vegetation index, wide and narrow band

中图分类号:

S311

王仲林, 谌俊旭, 程亚娇, 范元芳, 李凡, 赵刚成, 杨峰, 杨文钰. 不同宽窄波段组合的光谱参量对夏玉米穗位叶氮素含量估测[J]. 四川农业大学学报, 2019, 37(02): 152-160.

WANG Zhonglin, CHEN Junxu, CHENG Yajiao, FAN Yuanfang, LI Fan, ZHAO Gangcheng, YANG Feng, YANG Wenyu. Estimating Nitrogen Content of Maize Leaf Based on Spectral Parameters of Different Wide and Narrow Band Combination[J]. Journal of Sichuan Agricultural University, 2019, 37(02): 152-160.

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