Initial Growth of Gmelina arborea and Efficacy of RGB Image to Capture Canopy Area in a Large Range of Stockings
| dc.contributor.author | Hakamada, Rodrigo | |
| dc.contributor.author | Prados-Coronado, Jesus | |
| dc.contributor.author | Lages, Cassiano [UNESP] | |
| dc.contributor.author | Vrechi, Arthur | |
| dc.contributor.author | Zuñiga-Grajeda, Virgilio | |
| dc.contributor.author | Villota-Gonzalez, Freddy Hernan | |
| dc.contributor.author | Sulbaran-Rangel, Belkis | |
| dc.contributor.institution | Federal Rural University of Pernambuco | |
| dc.contributor.institution | Colorado State University | |
| dc.contributor.institution | University of Guadalajara | |
| dc.contributor.institution | Instituto Tecnológico Las Choapas | |
| dc.contributor.institution | Universidade Estadual Paulista (UNESP) | |
| dc.contributor.institution | Geplant Technology | |
| dc.date.accessioned | 2025-04-29T20:08:33Z | |
| dc.date.issued | 2023-10-01 | |
| dc.description.abstract | At 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.affiliation | Department of Forest Science Federal Rural University of Pernambuco | |
| dc.description.affiliation | Department Ecosystem Science and Sustainability Colorado State University | |
| dc.description.affiliation | University of Guadalajara, Campus Tonala | |
| dc.description.affiliation | Instituto Tecnológico Las Choapas | |
| dc.description.affiliation | Postgraduate Program in Forestry Science Sao Paulo State University | |
| dc.description.affiliation | Geplant Technology | |
| dc.description.affiliationUnesp | Postgraduate Program in Forestry Science Sao Paulo State University | |
| dc.identifier | http://dx.doi.org/10.3390/rs15194751 | |
| dc.identifier.citation | Remote Sensing, v. 15, n. 19, 2023. | |
| dc.identifier.doi | 10.3390/rs15194751 | |
| dc.identifier.issn | 2072-4292 | |
| dc.identifier.scopus | 2-s2.0-85174215862 | |
| dc.identifier.uri | https://hdl.handle.net/11449/307130 | |
| dc.language.iso | eng | |
| dc.relation.ispartof | Remote Sensing | |
| dc.source | Scopus | |
| dc.subject | canopy identification | |
| dc.subject | gmelina arborea growth | |
| dc.subject | planting spacing | |
| dc.subject | remotely manned aircraft (RPA) | |
| dc.subject | vegetation detection | |
| dc.title | Initial Growth of Gmelina arborea and Efficacy of RGB Image to Capture Canopy Area in a Large Range of Stockings | en |
| dc.type | Artigo | pt |
| dspace.entity.type | Publication | |
| unesp.author.orcid | 0000-0002-1377-8669[1] | |
| unesp.author.orcid | 0000-0003-0633-3378[3] | |
| unesp.author.orcid | 0000-0002-8248-0604[5] | |
| unesp.author.orcid | 0000-0003-4413-6623[6] | |
| unesp.author.orcid | 0000-0002-5758-6140[7] |
