基于冠层光谱角算法的小麦氮素营养监测  

Monitoring nitrogen content of wheat on basis of an algorithm on the spectral angle of canopy

作　　者：肖春华[1] 吕银亮[1] 刁万英[1] 李少昆[2] 王克如[2] 陈兵[3] 王琼[3] 

机构地区：[1]石河子大学农学院,绿洲生态农业重点实验室,新疆石河子832003 [2]中国农业科学院作物研究所,农业部作物生理生态重点实验室,北京100081 [3]新疆农垦科学院棉花研究所,新疆石河子832000

出　　处：《干旱地区农业研究》2015年第4期94-97,172,共5页Agricultural Research in the Arid Areas

基　　金：国家科技支撑计划(2012BAH27B04);国家自然科学基金项目(31071371,31460326,31360302)资助;石河子大学高层人才项目(RCZX201217)

摘　　要：通过田间小区试验,选择3个小麦品种,在不同氮素水平下,在测定小麦冠层反射光谱和叶片氮素含量基础上,提出小麦冠层光谱角算法,分析小麦冠层光谱角与氮素营养水平的定量关系。结果发现:对选择的3个小麦品种,光谱角均随氮素施用量增加而增大,光谱角预测叶片氮素的最佳模型为y=0.3999x0.3989,其决定系数R2为0.6870,其预测的RE、RMSE和R2分别为1.63%、0.1609、0.7515。利用光谱角算法可以监测小麦冠层氮素营养的差异。Nitrogen is an important factor for crop growth and environment. A search for real-time,rapid and accurate monitoring methods on nitrogen nutrition is a necessary approach for precise fertilization and efficiency enhancement. In this paper,three wheat varieties（ Xinchun 6,Xinchun 17 and Xinchun 22） were selected to investigate the correlations between the canopy hyperspectral characteristics at four nitrogen levels and the leaves nitrogen content（ LNC）,and thereby an improved spectral angle（ SA） could be utilized for prediction of LNC. The spectral angles of wheat canopy by different nitrogen treatments were higher with the nitrogen increased and the best spectral angle model for prediction of leaf nitrogen was y = 0. 3999x^0. 3989. The coefficient of determination R^2 was 0.6870,and the RE,RMSE and R^2 were 1. 63%,0. 1609,and 0. 7515,respectively. Spectral angle was feasible for monitoring differences in leaves nitrogen content,providing a theoretical basis for precise fertilization in agriculture.

关 键 词：小麦 氮素营养监测 高光谱 光谱角 

分 类 号：S512.101[农业科学—作物学] S143.1