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Height estimation of a clonal Eucalyptus test at different ages using low-altitude aerial imaging

dc.contributor.authorMartello, Mauricio
dc.contributor.authorAlvares, Clayton Alcarde [UNESP]
dc.contributor.authorTavares, Tiago Rodrigues
dc.contributor.authorFiorio, Peterson Ricardo
dc.contributor.authorCampoe, Otavio Camargo [UNESP]
dc.contributor.authorCarneiro, Rafaela Lorenzato
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionSuzano SA
dc.contributor.institutionUniversidade Federal de Lavras (UFLA)
dc.contributor.institutionPlantse Treinamento & Consultoria Ltda
dc.date.accessioned2022-11-30T13:38:14Z
dc.date.available2022-11-30T13:38:14Z
dc.date.issued2022-01-01
dc.description.abstractThis study evaluated the performance of the estimation of Eucalyptus height using aerial images obtained with a remotely piloted aircraft (RPA). The study area is part of the Cooperative Program on Tolerance of Clonal Eucalyptus by Thermal and Biotic Water Stresses (TECHS-IPEF). Four aerial image acquisitions were carried out at different stages of plant development, evaluating 15 experimental plots, each with a different clone of Eucalyptus. The plots contained 5 rows, spaced at 2.3 m, with 4 plants in each row (also spaced at 2.3 m), totaling 20 trees and 5.06 m(2) per plant. The image acquisition was done using aircrafts with digital cameras that had a sensitivity in the visible spectral region (RGB). The images were synchronized with a global navigation satellite system (GNSS) receiver for geo-referencing the information. The acquisition of stereoscopic images allowed the generation of three-dimensional models that were used to estimate the height of each eucalyptus plant, in each of the four image collections. The heights estimated with the RPA images were compared with height measurements performed in the field by means of linear regressions. The results showed an estimation performance with a coefficient of determination (R-2) value higher than 0.75 and root mean square error (RMSE) lower than 3.94 m. It is concluded that height estimation using aerial images has a high potential for monitoring and evaluation Eucalyptus clones, and can be a useful tool to support the management of these areas.en
dc.description.affiliationUniv Sao Paulo, Piracicaba, SP, Brazil
dc.description.affiliationUniv Estadual Paulista, UNESP, Botucatu, SP, Brazil
dc.description.affiliationSuzano SA, Limeira, SP, Brazil
dc.description.affiliationUniv Fed Lavras UFLA, Lavras, MG, Brazil
dc.description.affiliationPlantse Treinamento & Consultoria Ltda, Ribeirao Preto, SP, Brazil
dc.description.affiliationUnespUniv Estadual Paulista, UNESP, Botucatu, SP, Brazil
dc.format.extent13
dc.identifierhttp://dx.doi.org/10.18671/scifor.v50.07
dc.identifier.citationScientia Forestalis. Piracicaba: Ipef-inst Pesquisas Estudos Florestais, v. 50, 13 p., 2022.
dc.identifier.doi10.18671/scifor.v50.07
dc.identifier.issn1413-9324
dc.identifier.urihttp://hdl.handle.net/11449/237545
dc.identifier.wosWOS:000787902900001
dc.language.isopor
dc.publisherIpef-inst Pesquisas Estudos Florestais
dc.relation.ispartofScientia Forestalis
dc.sourceWeb of Science
dc.subjectRemote sensing
dc.subjectGeo-processing
dc.subjectRemotely piloted aircraft
dc.titleHeight estimation of a clonal Eucalyptus test at different ages using low-altitude aerial imagingen
dc.typeArtigo
dcterms.rightsHolderIpef-inst Pesquisas Estudos Florestais
dspace.entity.typePublication

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