Analysis of the spectrum and vegetation index of rice under different nitrogen levels based on unmanned aerial vehicle remote sensing

doi:10.3788/CO.20181105.0832

CIOMP OpenIR

	Analysis of the spectrum and vegetation index of rice under different nitrogen levels based on unmanned aerial vehicle remote sensing
	Pei, Xin-Biao; Wu, He-Long; Ma, Ping; Yan, Yong-Feng; Peng, Cheng; Hao, Liang; Bai, Yue
	2018
发表期刊	Chinese Optics
ISSN	20951531
卷号	11 期号:5 页码:832-840
摘要	Satellite remote sensing has low spatial resolution and is susceptible to the atmosphere, cloud layer, rain, and snow and so on. In this paper, the coaxial remote sensing system is constructed by using a coaxial 12-rotor unmanned aerial vehicle with spectrometer. Firstly, the self-designed UAV structure and flight control system are introduced, and a multi-link data backup UAV remote sensing data acquisition system is built around the flight platform, control system and remote sensing load. Then, the change of spectral index of four rices with different nitrogen levels is tested. Finally, by analyzing the experimental data, it can be obtained that the spectral reflectance of rice canopy decreases with the increase of nitrogen level in the visible region, and the spectral reflectance increases with the increase of nitrogen level in the near-infrared region. However, when the nitrogen level is increased to a certain extent, the increase of nitrogen will cause the reflectivity to decrease. Under the four nitrogen levels, the RVI and NDVI increased from tillering stage to jointing stage, then decreased gradually in heading stage, and the values of RVI and NDVI at heading stage are lower than those of RVI and NDVI in tillering stage. The test shows that the multi-rotor UAV platform equipped with a spectrometer composed of agricultural remote sensing monitoring system is feasible in the inversion of crop vegetation index. The UAV remote sensing data acquisition system designed in this paper can obtain remote sensing information effectively and in real time. The real time information of farmland with high spatial resolution and spectral resolution can provide necessary data support for crop growth analysis and health monitoring. 2018, China Science Publishing & Media LTD. All right reserved.
关键词	Remote sensing Antennas Crops Data acquisition Flight control systems Grain (agricultural product) Image resolution Infrared devices Nitrogen Reflection Spectrometers Unmanned aerial vehicles (UAV) Vegetation
DOI	10.3788/CO.20181105.0832
收录类别	EI
引用统计
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/60577
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	Pei, Xin-Biao,Wu, He-Long,Ma, Ping,et al. Analysis of the spectrum and vegetation index of rice under different nitrogen levels based on unmanned aerial vehicle remote sensing[J]. Chinese Optics,2018,11(5):832-840.
APA	Pei, Xin-Biao.,Wu, He-Long.,Ma, Ping.,Yan, Yong-Feng.,Peng, Cheng.,...&Bai, Yue.(2018).Analysis of the spectrum and vegetation index of rice under different nitrogen levels based on unmanned aerial vehicle remote sensing.Chinese Optics,11(5),832-840.
MLA	Pei, Xin-Biao,et al."Analysis of the spectrum and vegetation index of rice under different nitrogen levels based on unmanned aerial vehicle remote sensing".Chinese Optics 11.5(2018):832-840.

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