Volume 11 Issue 5
Oct.  2018
Turn off MathJax
Article Contents
PEI Xin-biao, WU He-long, MA Ping, YAN Yong-feng, PENG Cheng, HAO Liang, BAI Yue. 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. doi: 10.3788/CO.20181105.0832
Citation: PEI Xin-biao, WU He-long, MA Ping, YAN Yong-feng, PENG Cheng, HAO Liang, BAI Yue. 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. doi: 10.3788/CO.20181105.0832

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

the National Natural Science Foundation of China 11372309

the National Natural Science Foundation of China 61304017

Key Technology Development Project of Jilin Province 20150204074GX

Key Technology Development Project of Jilin Province 20160204010NY

the Provincial Special Funds Project of Science and Technology Cooperation 2017SYHZ0024

Youth Innovation Promotion Association 2014192

More Information
  • Corresponding author: HAO Liang; BAI Yue, E-mail: baiy@ciomp.ac.cn
  • Received Date: 14 Dec 2017
  • Rev Recd Date: 02 Mar 2018
  • Publish Date: 01 Oct 2018
  • 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.


  • loading
  • [1]
    殷春渊, 张庆, 魏海燕, 等.不同产量类型水稻基因型氮素吸收、利用效率的差异[J].中国农业科学, 2010, 43(1):39-50. doi: 10.3864/j.issn.0578-1752.2010.01.005

    YIN CH Y, ZHANG Q, WEI H Y, et al.. Difference in nitrogen absorption and use efficiency in rice genotypes with different yield performance[J]. Scientia Agricultura Sinica, 2010, 43(1):39-50.(in Chinese) doi: 10.3864/j.issn.0578-1752.2010.01.005
    谢芳, 韩晓日, 杨劲峰, 等.不同施氮处理对水稻氮素吸收及产量的影响[J].中国土壤与肥料, 2010(4):24-26, 45. doi: 10.3969/j.issn.1673-6257.2010.04.005

    XIE F, HAN X R, YANG J F, et al.. Effect of N fertilizer application on nitrogen absorption and yield of rice[J]. Soil and Fertilizer Sciences in China, 2010(4):24-26, 45.(in Chinese) doi: 10.3969/j.issn.1673-6257.2010.04.005
    齐冰洁, 刘金国, 张博研, 等.高分辨率遥感图像SIFT和SURF算法匹配性能研究[J].中国光学, 2017, 10(3):331-339. http://www.chineseoptics.net.cn/CN/abstract/abstract9467.shtml

    QI B J, LIU J G, ZHANG B Y, et al.. Research on matching performance of SIFT and SURF algorithms for high resolution remote sensing image[J]. Chinese Optics, 2017, 10(3):331-339.(in Chinese) http://www.chineseoptics.net.cn/CN/abstract/abstract9467.shtml
    巩盾.空间遥感测绘光学系统研究综述[J].中国光学, 2015, 8(5):714-724. http://www.chineseoptics.net.cn/CN/abstract/abstract9339.shtml

    GONG D. Review on mapping space remote sensor optical system[J]. Chinese Optics, 2015, 8(5):714-724.(in Chinese) http://www.chineseoptics.net.cn/CN/abstract/abstract9339.shtml
    吴银花, 胡炳樑, 高晓惠, 等.利用区域增长技术的自适应高光谱图像分类[J].光学精密工程, 2018, 26(2):426-434. http://d.old.wanfangdata.com.cn/Periodical/gxjmgc201802021

    WU Y H, HU B L, GAO X H, et al.. Adaptive hyperspectral image classification using region-growing techniques[J]. Opt. Precision Eng., 2018, 26(2):426-434.(in Chinese) http://d.old.wanfangdata.com.cn/Periodical/gxjmgc201802021
    侯榜焕, 姚敏立, 贾维敏, 等.面向高光谱图像分类的空谱判别分析[J].光学精密工程, 2018, 26(2):450-460. http://d.old.wanfangdata.com.cn/Periodical/gxjmgc201802024

    HOU BA H, YAO M L, JIA W M, et al.. Spatial-spectral discriminant analysis for hyperspectral image classification[J]. Opt. Precision Eng., 2018, 26(2):450-460.(in Chinese) http://d.old.wanfangdata.com.cn/Periodical/gxjmgc201802024
    陈明, 汪正坤, 辛鑫, 等.基于高光谱的微藻生物膜生长特性研究[J].光学精密工程, 2017, 25(10s):39-45. http://d.old.wanfangdata.com.cn/Thesis/D01222775

    CHEN M, WANG ZH K, XIN X, et al.. Study on growth characteristics of microalgae biofilm based on hyperspectral imaging[J]. Opt. Precision Eng., 2017, 25(10s):39-45.(in Chiese) http://d.old.wanfangdata.com.cn/Thesis/D01222775
    吴龙国, 王松磊, 何建国, 等.基于高光谱成像技术的土壤水分机理研究及模型建立[J].发光学报, 2017, 38(10):1366-1376. http://d.old.wanfangdata.com.cn/Periodical/fgxb201710016

    WU L G, WANG S L, HE J G, et al.. Soil moisture mechanism and establishment of model based on hyperspectral imaging technique[J]. Chinese Journal of Luminescence, 2017, 38(10):1366-1376.(in Chinese) http://d.old.wanfangdata.com.cn/Periodical/fgxb201710016
    贾瑞栋, 夏志伟, 王玉鹏, 等.太阳光谱辐照度绝对测量及其定标单色仪[J].光学学报, 2017, 38(8):1097-1101. http://d.old.wanfangdata.com.cn/Periodical/fgxb201708017

    JIA R D, XIA ZH W, WANG Y P, et al.. Absolute solar spectral irradiance measurement and its calibration monochromator[J]. Acta Optica Sinica, 2017, 38(8):1097-1101.(in Chinese) http://d.old.wanfangdata.com.cn/Periodical/fgxb201708017
    朱西存, 赵庚星, 王凌, 等.基于高光谱的苹果花氮素含量预测模型研究[J].光谱学与光谱分析, 2010, 30(2):416-420. doi: 10.3964/j.issn.1000-0593(2010)02-0416-05

    ZHU X C, ZHAO G X, WANG L, et al.. Hyper spectrum based prediction model for nitrogen content of apple flowers[J]. Spectroscopy and Spectral Analysis, 2010, 30(2):416-420.(in Chinese) doi: 10.3964/j.issn.1000-0593(2010)02-0416-05
    冯书谊, 张宁, 沈霁, 等.基于反射率特性的高光谱遥感图像云检测方法研究[J].中国光学, 2015, 8(2):198-203. http://www.chineseoptics.net.cn/CN/abstract/abstract9268.shtml

    FENG SH Y, ZHANG N, SHEN J, et al.. Method of cloud detection with hyperspectral remote sensing image based on the reflective characteristics[J]. Chinese Optics, 2015, 8(2):198-203.(in Chinese) http://www.chineseoptics.net.cn/CN/abstract/abstract9268.shtml
    刘轲, 周清波, 吴文斌, 等.基于多光谱与高光谱遥感数据的冬小麦叶面积指数反演比较[J].农业工程学报, 2016, 32(3):155-162. http://d.old.wanfangdata.com.cn/Periodical/nygcxb201603023

    LIU K, ZHOU Q B, WU W B, et al.. Comparison between multispectral and hyperspectral remote sensing for LAI estimation[J]. Transactions of the Chinese Society of Agricultural Engineering(Transactions of the CSAE), 2016, 32(3):155-162.(in Chinese) http://d.old.wanfangdata.com.cn/Periodical/nygcxb201603023
    周明辉, 廖春艳, 任兆玉, 等.表面增强拉曼光谱生物成像技术及其应用[J].中国光学, 2013, 6(5):633-641. http://www.chineseoptics.net.cn/CN/abstract/abstract9047.shtml

    ZHOU M H, LIAO CH Y, REN ZH Y, et al.. Bioimaging technologies based on surface-enhanced raman spectroscopy and their applications[J]. Chinese Optics, 2013, 6(5):633-641.(in Chinese) http://www.chineseoptics.net.cn/CN/abstract/abstract9047.shtml
    THENKABAIL P S, WARD A D, LYON J G. Landsat-5 Thematic Mapper models of soybean and corn crop characteristics[J]. International Journal of Remote Sensing, 1994, 15(1):49-61. doi: 10.1080/01431169408954050
    BUNNIK N J J. The multispectral reflectance of shortwave radiation by agricultural crops in relation with their morphological and optical properties[D]. Wageningen: Meded. Landbouwhoge School, 1978, 1: 167-175..
    WALTHALL C, DULANEY W, ANDERSON M, et al.. A comparison of empirical and neural network approaches for estimating corn and soybean leaf area index from Landsat ETM+imagery[J]. Remote Sensing of Environment, 2004, 92(4):465-474. doi: 10.1016/j.rse.2004.06.003
    史舟, 梁宗正, 杨媛媛, 等.农业遥感研究现状与展望[J].农业机械学报, 2015, 46(2):247-260. http://d.old.wanfangdata.com.cn/Periodical/nygcxb200306041

    SHI ZH, LIANG Z ZH, YANG Y Y, et al.. Status and prospect of agricultural remote sensing[J]. Transactions of the Chinese Society for Agricultural Machinery, 2015, 46(2):247-260.(in Chinese) http://d.old.wanfangdata.com.cn/Periodical/nygcxb200306041
    刘峰, 刘素红, 向阳.园地植被覆盖度的无人机遥感监测研究[J].农业机械学报, 2014, 45(11):250-257. doi: 10.6041/j.issn.1000-1298.2014.11.039

    LIU F, LIU S H, XIANG Y. Study on monitoring fractional vegetation cover of garden plots by unmanned aerial vehicles[J]. Transactions of the Chinese Society for Agriculural Machinery, 2014, 45(11):250-257.(in Chinese) doi: 10.6041/j.issn.1000-1298.2014.11.039
    代辉, 胡春胜, 程一松, 等.不同氮水平下冬小麦农学参数与光谱植被指数的相关性[J].干旱地区农业研究, 2005, 23(4):16-21. doi: 10.3321/j.issn:1000-7601.2005.04.004

    DAI H, HU CH SH, CHENG Y S, et al.. Correlation between agronomic parameters and spectral vegetation index in winter wheat under different nitrogen levels[J]. Agricultural Research in the Arid Areas, 2005, 23(4):16-21.(in Chinese) doi: 10.3321/j.issn:1000-7601.2005.04.004
  • 加载中


    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(8)  / Tables(3)

    Article views(2528) PDF downloads(209) Cited by()
    Proportional views


    DownLoad:  Full-Size Img  PowerPoint