Spectral discrimination of Cannabis sativa L. leaves and canopies

被引:54
|
作者
Daughtry, CST [1 ]
Walthall, CL [1 ]
机构
[1] USDA ARS, Beltsville Agr Res Ctr, Remote Sensing & Modeling Lab, Beltsville, MD 20705 USA
关键词
D O I
10.1016/S0034-4257(98)00002-9
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The growing of marijuana (Cannabis sativa L.) on public lands poses problems to the environment and the public. Remote sensing offers a potential way of monitoring public lands for the production of marijuana. However, very little information on the spectral properties of marijuana is available in the scientific literature. Our objectives were to 1) characterize the spectral properties of the leaves of marijuana and various other plants that occur where marijuana is grown in the eastern United States, 2) simulate canopy reflectance, and 3) identify wavebands for discriminating marijuana from other plants. In a series of replicated field experiments, the basic factors affecting marijuana growth and reflectance, including planting data, plant density, and N-fertilization were varied. Leaf optical properties were measured periodically during the growing season with a spectroradiometer and integrating sphere. As N-fertilization rate decreased, the marijuana plants produced leaves with lower chlorophyll concentrations and higher reflectance values in the visible wavelength region, particularly at 550 nm. The reflectance spectra of the herbaceous dicot species examined were very similar to the spectrum of marijuana. The reflectance spectra of the monocots and the trees differed significantly from the spectrum of marijuana, particularly in the green and near-infrared wavelength regions. Canopy reflectance spectra of marijuana and several representative species were simulated for a wide range of LAI and background reflectances. Major differences in canopy reflectance of marijuana and other plants were observed near 550 nm, 720 nm, and 800 nm. Dense canopies of marijuana were more spectrally discriminable from other vegetation than sparse canopies. Thus, based on measured leaf spectra and simulated canopy reflectance spectra, we would choose several relatively narrow (i.e., 30 nm or less) spectral bands in the green (550 nm), red (670 nm), "red edge" (720 nm), and the near-infrared (800 nm) to discriminate marijuana leaves and canopies from other species. Much of the leaf spectral information is also available in the canopy reflectance data. Published by Elsevier Science Inc., 1998.
引用
收藏
页码:192 / 201
页数:10
相关论文
共 50 条
  • [1] Spectral discrimination of Cannabis sativa L. leaves and canopies
    USDA/ARS, Remote Sensing and Modeling Lab., Beltsville, MD, United States
    Remote Sens. Environ., 2 (192-201):
  • [2] Cannabis sativa L. Spectral Discrimination and Classification Using Satellite Imagery and Machine Learning
    Bicakli, Fatih
    Kaplan, Gordana
    Alqasemi, Abduldaem S.
    AGRICULTURE-BASEL, 2022, 12 (06):
  • [3] Immunostimulatory and Antibacterial Effects of Cannabis sativa L. Leaves on Broilers
    Balenovic, Mirta
    Janjecic, Zlatko
    Savic, Vladimir
    Kasap, Ante
    Popovic, Maja
    Simpraga, Borka
    Sokolovic, Marijana
    Bedekovic, Dalibor
    Kis, Goran
    Zglavnik, Tihomir
    Spoljaric, Daniel
    Krstulovic, Fani
    Listes, Irena
    Zelenika, Tajana Amsel
    ANIMALS, 2024, 14 (08):
  • [4] Levels of selected metals in leaves of Cannabis sativa L. cultivated in Ethiopia
    Zerihun, Agalu
    Chandravanshi, Bhagwan Singh
    Debebe, Ayalew
    Mehari, Bewketu
    SPRINGERPLUS, 2015, 4
  • [5] Hemp (Cannabis sativa L.)
    Grotenhermen, F.
    ZEITSCHRIFT FUR ARZNEI- & GEWURZPFLANZEN, 2021, 26 (01): : 29 - 33
  • [6] Effect of Irrigation and Fertilization Levels on Mineral Composition of Cannabis sativa L. Leaves
    Wogiatzi, Eleni
    Gougoulias, Nikolaos
    Giannoulis, Kyriakos D.
    Kamvoukou, Christina-Anna
    NOTULAE BOTANICAE HORTI AGROBOTANICI CLUJ-NAPOCA, 2019, 47 (04) : 1073 - 1080
  • [7] Transcriptomic analysis of the cytokinin response in industrial hemp (Cannabis sativa L.) leaves
    Yu, Mengdi
    Chen, Yushu
    Zhang, Junbao
    Wang, Xuesong
    Jin, Zhongmin
    Li, Shanshan
    Liu, Lijie
    JOURNAL OF PLANT BIOCHEMISTRY AND BIOTECHNOLOGY, 2024, 33 (04) : 533 - 546
  • [8] ANTIMICROBIAL EFFECT OF CANNABIS SATIVA L.
    Popescu-Spineni, Dana Maria
    Moldoveanu, Alexandra Constantin
    Armean, Petra
    Ionescu-Tirgoviste, Constantin
    Militaru, Costin
    Munteanu, Anca Magdalena
    REVUE ROUMAINE DE CHIMIE, 2021, 66 (05) : 417 - 422
  • [9] Bibenzyl synthesis in Cannabis sativa L.
    Boddington, Kelly F.
    Soubeyrand, Eric
    Van Gelder, Kristen
    Casaretto, Jose A.
    Perrin, Colby
    Forrester, Taylor J. B.
    Parry, Cameron
    Al-Abdul-Wahid, M. Sameer
    Jentsch, Nicholas G.
    Magolan, Jakob
    Bozzo, Gale G.
    Kimber, Matthew S.
    Rothstein, Steven J.
    Akhtar, Tariq A.
    PLANT JOURNAL, 2022, 109 (03): : 693 - 707
  • [10] Cannabigerol and cannabichromene in Cannabis sativa L.
    Zagozen, Marjeta
    Cerenak, Andreja
    Kreft, Samo
    ACTA PHARMACEUTICA, 2021, 71 (03) : 355 - 364