1. Repositório Institucional da UFMG
  2. Publicações Científicas e Culturais
  3. Artigo de Periódico
Please use this identifier to cite or link to this item: http://hdl.handle.net/1843/43256
Full metadata record
DC FieldValueLanguage
dc.creatorJeferson Pereiramartins Silvapt_BR
dc.creatorMaria Naruna Felix de Almeidapt_BR
dc.creatorMárcia Rodrigues de Moura Fernandespt_BR
dc.creatorMayra Luiza Marques da Silvapt_BR
dc.creatorEvandro Ferreira da Silvapt_BR
dc.creatorGilson Fernandes da Silvapt_BR
dc.creatorAdriano Ribeiro de Mendonçapt_BR
dc.creatorChristian Dias Cabacinhapt_BR
dc.creatorEmanuel França Araújopt_BR
dc.creatorJeangelis Silva Santospt_BR
dc.creatorGiovanni Correia Vieirapt_BR
dc.date.accessioned2022-07-14T12:20:39Z-
dc.date.available2022-07-14T12:20:39Z-
dc.date.issued2019-
dc.citation.volume249pt_BR
dc.citation.issue1pt_BR
dc.citation.spage1pt_BR
dc.citation.epage12pt_BR
dc.identifier.doihttps://doi.org/10.1016/j.jenvman.2019.109368pt_BR
dc.identifier.issn0301-4797pt_BR
dc.identifier.urihttp://hdl.handle.net/1843/43256-
dc.description.resumoThe Brazilian Savannah, known as Cerrado, has the richest flora in the world among the savannas, with a high degree of endemic species. Despite the global ecological importance of the Cerrado, there are few studies focused on the modeling of the volume and biomass of this forest formation. Volume and biomass estimation can be performed using allometric models, artificial intelligence (AI) techniques and mixed regression models. Thus, the aim of this work was to evaluate the use of AI techniques and mixed models to estimate the volume and biomass of individual trees in vegetation of Brazilian central savanna. Numerical variables (diameter at height of 1.30 m of ground, total height, volume and biomass) and categorical variables (species) were used for the training and fitting of AI techniques and mixed models, respectively. The statistical indicators used to evaluate the training and the adjustment were the correlation coefficient, bias and Root mean square error relative. In addition, graphs were elaborated as complementary analysis. The results obtained by the statistical indicators and the graphical analysis show the great potential of AI techniques and mixed models in the estimation of volume and biomass of individual trees in Brazilian savanna vegetation. In addition, the proposed methodologies can be adapted to other biomes, forest typologies and variables of interest.pt_BR
dc.description.sponsorshipCNPq - Conselho Nacional de Desenvolvimento Científico e Tecnológicopt_BR
dc.description.sponsorshipCAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superiorpt_BR
dc.description.sponsorshipOutra Agênciapt_BR
dc.languageengpt_BR
dc.publisherUniversidade Federal de Minas Geraispt_BR
dc.publisher.countryBrasilpt_BR
dc.publisher.departmentICA - INSTITUTO DE CIÊNCIAS AGRÁRIASpt_BR
dc.publisher.initialsUFMGpt_BR
dc.relation.ispartofJournal of Environmental Managementpt_BR
dc.rightsAcesso Abertopt_BR
dc.subject.otherPlantas dos cerradospt_BR
dc.subject.otherInteligência artificialpt_BR
dc.subject.otherFlorestas -- Administraçãopt_BR
dc.subject.otherMáquinaspt_BR
dc.titleComputational techniques applied to volume and biomass estimation of trees in brazilian savannapt_BR
dc.typeArtigo de Periódicopt_BR
dc.url.externahttps://www.sciencedirect.com/science/article/pii/S0301479719310771pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-8148-083Xpt_BR
Appears in Collections:Artigo de Periódico

Files in This Item:
File Description SizeFormat 
Computational techniques applied to volume and biomass estimation of trees in Brazilian savanna.pdf2.38 MBAdobe PDFView/Open
Show simple item record


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.