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Initial Growth of Gmelina arborea and Efficacy of RGB Image to Capture Canopy Area in a Large Range of Stockings

dc.contributor.authorHakamada, Rodrigo
dc.contributor.authorPrados-Coronado, Jesus
dc.contributor.authorLages, Cassiano [UNESP]
dc.contributor.authorVrechi, Arthur
dc.contributor.authorZuñiga-Grajeda, Virgilio
dc.contributor.authorVillota-Gonzalez, Freddy Hernan
dc.contributor.authorSulbaran-Rangel, Belkis
dc.contributor.institutionFederal Rural University of Pernambuco
dc.contributor.institutionColorado State University
dc.contributor.institutionUniversity of Guadalajara
dc.contributor.institutionInstituto Tecnológico Las Choapas
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionGeplant Technology
dc.date.accessioned2025-04-29T20:08:33Z
dc.date.issued2023-10-01
dc.description.abstractAt present, there is a high demand for carbon (C) sequestration alternatives; thus, understanding tree growth and the efficacy of remote sensing techniques to capture forest plantation ecophysiology is crucial. This study evaluated the effect of contrasting stockings of Gmelina arborea on its initial growth and aboveground Carbon stock, and the efficacy of aerial images obtained using drones to capture the crown cover at different stockings. The results indicated that denser stockings showed greater tree heights and stem diameter increments, contrary to traditional measurements. The C storage capacity of Gmelina arborea was promising, with an aboveground estimated C stock of about 13 Mg ha−1 in 9 months, making it a valuable and promising species for CO2 sequestration under the context of climate change. The use of simple Red-Green-Blue (RGB) cameras and drones to detect and estimate crown areas in young plantations was mainly viable within the commercial range of stockings (500–2000 trees ha−1), and can be used as a powerful tool to better understand tree initial growth. The results showed effective discrimination without weeds independently of the stocking level; however, when weeds were present, the effectiveness decreased. This research provides valuable insights into forest management and improves the understanding of the silviculture behavior of a potential native species for reforestation in the tropics.en
dc.description.affiliationDepartment of Forest Science Federal Rural University of Pernambuco
dc.description.affiliationDepartment Ecosystem Science and Sustainability Colorado State University
dc.description.affiliationUniversity of Guadalajara, Campus Tonala
dc.description.affiliationInstituto Tecnológico Las Choapas
dc.description.affiliationPostgraduate Program in Forestry Science Sao Paulo State University
dc.description.affiliationGeplant Technology
dc.description.affiliationUnespPostgraduate Program in Forestry Science Sao Paulo State University
dc.identifierhttp://dx.doi.org/10.3390/rs15194751
dc.identifier.citationRemote Sensing, v. 15, n. 19, 2023.
dc.identifier.doi10.3390/rs15194751
dc.identifier.issn2072-4292
dc.identifier.scopus2-s2.0-85174215862
dc.identifier.urihttps://hdl.handle.net/11449/307130
dc.language.isoeng
dc.relation.ispartofRemote Sensing
dc.sourceScopus
dc.subjectcanopy identification
dc.subjectgmelina arborea growth
dc.subjectplanting spacing
dc.subjectremotely manned aircraft (RPA)
dc.subjectvegetation detection
dc.titleInitial Growth of Gmelina arborea and Efficacy of RGB Image to Capture Canopy Area in a Large Range of Stockingsen
dc.typeArtigopt
dspace.entity.typePublication
unesp.author.orcid0000-0002-1377-8669[1]
unesp.author.orcid0000-0003-0633-3378[3]
unesp.author.orcid0000-0002-8248-0604[5]
unesp.author.orcid0000-0003-4413-6623[6]
unesp.author.orcid0000-0002-5758-6140[7]

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