CharronRobichaudCourteauLaVigneEtAl2020

Référence

Charron, G., Robichaud-Courteau, T., La Vigne, H., Weintraub, S., Hill, A., Justice, D., Belanger, N., Desbiens, A.L. (2020) The Deleaves: A UAV device for efficient tree canopy sampling. Journal of Unmanned Vehicle Systems, 8(3):245-264. (Scopus )

Résumé

Tree canopy sampling is critical in many forestry-related applications, including ecophysiology, foliar nutrient diagnostics, remote sensing model development, genetic analysis, and biodiversity monitoring and conservation. Many of these applications require foliage samples that have been exposed to full sunlight. Unfortunately, current sampling techniques are severely limited in cases where site topography (e.g., rivers, cliffs, canyons) or tree height (i.e., branches located above 10 m) make it time-consuming, expensive, and possibly hazardous to collect samples. This paper reviews the recent developments related to unmanned aerial vehicle (UAV) based tree sampling and presents the DeLeaves tool, a new device that can be installed under a small UAV to efficiently sample small branches in the uppermost canopy (i.e., <25 mm stem diameter, <500 g total weight, any orientation). Four different sampling campaigns using the DeLeaves tool are presented to illustrate its real-life use in various environments. So far, the DeLeaves tool has been able to collect more than 250 samples from over 20 different species with an average sampling time of 6 min. These results demonstrate the potential of UAV-based tree sampling to greatly enhance key tasks in forestry, botany, and ecology. © 2020, Canadian Science Publishing. All rights reserved.

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@ARTICLE { CharronRobichaudCourteauLaVigneEtAl2020,
    AUTHOR = { Charron, G. and Robichaud-Courteau, T. and La Vigne, H. and Weintraub, S. and Hill, A. and Justice, D. and Belanger, N. and Desbiens, A.L. },
    JOURNAL = { Journal of Unmanned Vehicle Systems },
    TITLE = { The Deleaves: A UAV device for efficient tree canopy sampling },
    YEAR = { 2020 },
    NOTE = { cited By 1 },
    NUMBER = { 3 },
    PAGES = { 245-264 },
    VOLUME = { 8 },
    ABSTRACT = { Tree canopy sampling is critical in many forestry-related applications, including ecophysiology, foliar nutrient diagnostics, remote sensing model development, genetic analysis, and biodiversity monitoring and conservation. Many of these applications require foliage samples that have been exposed to full sunlight. Unfortunately, current sampling techniques are severely limited in cases where site topography (e.g., rivers, cliffs, canyons) or tree height (i.e., branches located above 10 m) make it time-consuming, expensive, and possibly hazardous to collect samples. This paper reviews the recent developments related to unmanned aerial vehicle (UAV) based tree sampling and presents the DeLeaves tool, a new device that can be installed under a small UAV to efficiently sample small branches in the uppermost canopy (i.e., <25 mm stem diameter, <500 g total weight, any orientation). Four different sampling campaigns using the DeLeaves tool are presented to illustrate its real-life use in various environments. So far, the DeLeaves tool has been able to collect more than 250 samples from over 20 different species with an average sampling time of 6 min. These results demonstrate the potential of UAV-based tree sampling to greatly enhance key tasks in forestry, botany, and ecology. © 2020, Canadian Science Publishing. All rights reserved. },
    AFFILIATION = { CREATEK Design Lab, Institut Interdisciplinaire d’Innovation Technologique (3IT), Université de Sherbrooke, Sherbrooke, QC J1K 0A5, Canada; National Ecological Observatory Network, Battelle, Boulder, CO 80301, United States; University of British Columbia Botanical Garden, Vancouver, BC V6T 1Z4, Canada; Centre d’étude de la forêt, Université du Québec (TELUQ), Montreal, QC H2S 3L5, Canada },
    AUTHOR_KEYWORDS = { Canopy sampling; Foliar analysis; Tool; Tree sampling; UAV },
    DOCUMENT_TYPE = { Article },
    DOI = { 10.1139/juvs-2020-0005 },
    SOURCE = { Scopus },
    URL = { https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090521166&doi=10.1139%2fjuvs-2020-0005&partnerID=40&md5=aa25ab1aa248c12c65ac69f90b422ab9 },
}

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