基于高光谱的水稻叶片氮素估测与反演模型

doi:10.3969/j.issn.1004-1524.2017.05.23

浙江农业学报 ›› 2017, Vol. 29 ›› Issue (5): 845-849.DOI: 10.3969/j.issn.1004-1524.2017.05.23

基于高光谱的水稻叶片氮素估测与反演模型

张国圣, 许童羽^*, 于丰华, 陈春玲, 王洋

沈阳农业大学信息与电气工程学院,辽宁沈阳 110886

收稿日期:2017-01-12 出版日期:2017-05-20 发布日期:2017-06-06
通讯作者: 许童羽,E-mail: yatongmu@163.com
作者简介:张国圣(1991-),男,辽宁大连人,硕士研究生,主要从事农业信息化方面的研究。E-mail: 287063310@qq.com
基金资助:
国家重点研发计划(2016YFD020060307)

Nitrogen content inversion of rice leaf based on the hyperspectral data

ZHANG Guosheng, XU Tongyu^*, YU Fenghua, CHEN Chunling, WANG Yang

College of Engineering and Electricity, Shenyang Agriculture University, Shenyang 110886, China

Received:2017-01-12 Online:2017-05-20 Published:2017-06-06

摘要/Abstract

摘要： 快速、无损、准确地监测水稻叶片氮素状况,对于诊断水稻生殖生长特征、提高氮肥运筹水平具有重要意义。利用无人飞行平台搭载高光谱成像系统获取水稻冠层高光谱数据,分析了试验点水稻分蘖期叶片氮素与冠层高光谱信息之间的关系。结果表明,水稻分蘖期叶片氮素含量与同期归一化差值植被指数(NDVI)之间有良好的相关性,可以建立水稻分蘖期叶片氮素含量反演的相关统计模型。

关键词: 水稻氮素, 高光谱, 统计模型, 归一化植被指数

Abstract: Non-destructive, rapid and accurate monitoring of nitrogen nutrition of rice leaf at spikingstage is significant in estimating crop reproductive growth, enhancing nitrogen management and use efficiency. In this study, the field experiments were carried out and the hyperspectral data of rice canopy was acquired at the same time by the unmanned aerial vehicle. The relationship between nitrogen content and hyperspectral data was analyzed. The result showed that the leaf nitrogen content at tillering stage had good correlation with the normalized differential vegetation index. The regression model can be established.

Key words: nitrogen content of crop, hyperspectrl, regression model, NDVI value

中图分类号:

S126

张国圣, 许童羽, 于丰华, 陈春玲, 王洋. 基于高光谱的水稻叶片氮素估测与反演模型[J]. 浙江农业学报, 2017, 29(5): 845-849.

ZHANG Guosheng, XU Tongyu, YU Fenghua, CHEN Chunling, WANG Yang. Nitrogen content inversion of rice leaf based on the hyperspectral data[J]. , 2017, 29(5): 845-849.

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基于高光谱的水稻叶片氮素估测与反演模型

Nitrogen content inversion of rice leaf based on the hyperspectral data

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