CN105842203A - 基于玉米冠层特定光谱构建氮营养诊断植被指数 - Google Patents

基于玉米冠层特定光谱构建氮营养诊断植被指数 Download PDF

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CN105842203A
CN105842203A CN201510017812.1A CN201510017812A CN105842203A CN 105842203 A CN105842203 A CN 105842203A CN 201510017812 A CN201510017812 A CN 201510017812A CN 105842203 A CN105842203 A CN 105842203A
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spectrum
nitrogen nutrition
maize
vegetation index
diagnosis
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李志洪
崔舰
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Jilin Agricultural University
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Jilin Agricultural University
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Abstract

采用两束不同波段的红光(660nm)和近红外(850nm)作为光源，构造新的归一化植被指数。属于玉米冠层氮营养光谱诊断与氮肥追施决策的技术领域。新的归一化植被指数与目前广泛应用的GreenSeeker光谱诊断传感器所采用的671nm和780nm的光源构建的归一化植被指数有非常高的相关性。与671nm光谱比较，660nm是玉米光合作用效率更高的光谱区，选择660nm光谱可提高玉米氮营养诊断的精度。与常用的780nm光谱比较，利用850nm光谱有利于获得在近红外区的反射率,减小误差,使构建植被指数更稳定。且660nm和850nm光源元器件更易获得，价格低，可降低传感器的开发成本。

Description

基于玉米冠层特定光谱构建氮营养诊断植被指数
技术领域
本发明属于玉米冠层氮营养光谱诊断与氮肥追施决策的技术领域，具体涉及采用两束不同波段的红光(660nm)和近红外(850nm)光源,照射在玉米冠层,分别检测红光反射率(R660)和近红外光的反射率(R850),以此构造新的归一化植被指数NDVI(660,850)=(R850-R660)/(R850+R660)。
背景技术
目前国内外的大量研究表明，玉米氮营养诊断是氮肥追施决策的重要依据之一，氮营养诊断的快捷、准确、非接触无损伤的方法是这一技术的主流。其中利用红光（red）和近红外(ir)光照射到玉米冠层，叶片中含氮化合物特别是叶绿素含量越高，对红光的吸收越多，红光的反射率越低，而非叶绿素含氮化合物数量越多，对近红外光的吸收越低，反射率越高。采用光电检测器器采集红光和近红外光的反射率(R red，R ir)可计算归一化植被指数NDVI=(Rir-Rred)/(Rir+Rred)，这样NDVI指数越高，玉米氮营养越好，利用NDVI与玉米氮营养的关系作为氮肥追施的决策依据。
发明内容
构建NDVI所涉及的红光和近红外两种光源波长选取存在很大差别，近十多年中被人们广泛应用的GreenSeeker光谱诊断传感器采用的是671nm和780nm的光源。本发明人经多年的田间试验和分析研究表明，选取适当功率的660nm和850nm波长LED光源，照射在玉米冠层，采用光电检测器采集在玉米冠层上的反射率（R 660，R 850），计算出新的NDVI指数NDVI(660,850)与常用光源（670nm,780nm）所得到的NDVI(670,780)有非常高的相关性（图1），说明用660nm和850nm光源是完全满足玉米氮营养光谱诊断的光源的要求，而在实际应用中采用660nm和850nm光源更有其优越性，具体包括：与671nm光谱比较，660nm是玉米光合作用效率更高的光谱区，选择660nm光谱可提高玉米氮营养诊断的精度；与常用的780nm光谱比较，利用850nm光谱有利于获得在近红外区的反射率,减小误差,使构建植被指数更稳定；660nm和850nm光源元器件更易获得，价格更低，可降低传感器的开发成本。
附图说明
图1是NDVI(660,850)与NDVI(670,780)的相关性。

Claims (4)

1.选择660nm红光光源构建归一化植被指数，研制玉米氮营养冠层光谱诊断检测器。
2.选择850nm红外光源构建归一化植被指数，研制玉米氮营养冠层光谱诊断检测器。
3.如权利要求1所述的该光源在玉米冠层氮营养光谱诊断与氮肥追施决策方面的应用。
4.如权利要求2所述的该光源在玉米冠层氮营养光谱诊断与氮肥追施决策方面的应用。
CN201510017812.1A 2015-01-14 2015-01-14 基于玉米冠层特定光谱构建氮营养诊断植被指数 Pending CN105842203A (zh)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107219226A (zh) * 2017-07-24 2017-09-29 中国科学院遥感与数字地球研究所 图像采集装置及增强植被指数监测系统
CN107389613A (zh) * 2017-08-16 2017-11-24 广西大学 Led脉冲光源式作物冠层植被指数测定系统

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
G. GIANQUINTO ET AL.: "A methodlogical approach for defining spectral indices for assessing tomato nitrogen status and yield", 《EUROPEAN JOURNAL OF AGRONOMY》 *
MARIE ODILE VOUILLOT ET AL: "Early detection of N deficiency in a wheat crop using physiological and radiometric methods", 《AGRONOMIE》 *
赵明家 等: "基于高光谱优化NDVI值反演玉米叶片氮含量", 《中国农业大学学报》 *
赵明家 等: "玉米冠层全光谱特征在不同施氮量和品种下的响应", 《吉林农业大学学报》 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107219226A (zh) * 2017-07-24 2017-09-29 中国科学院遥感与数字地球研究所 图像采集装置及增强植被指数监测系统
CN107389613A (zh) * 2017-08-16 2017-11-24 广西大学 Led脉冲光源式作物冠层植被指数测定系统

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