Computational techniques applied to volume and biomass estimation of trees in brazilian savanna
| Autor(a) principal: | |
|---|---|
| Data de Publicação: | 2019 |
| Outros Autores: | , , , , , , , , , |
| Tipo de documento: | Artigo |
| Idioma: | eng |
| Título da fonte: | Repositório Institucional da UFMG |
| Texto Completo: | https://doi.org/10.1016/j.jenvman.2019.109368 http://hdl.handle.net/1843/43256 https://orcid.org/0000-0002-8148-083X |
Resumo: | CNPq - Conselho Nacional de Desenvolvimento Científico e Tecnológico |
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2022-07-14T12:20:39Z2022-07-14T12:20:39Z20192491112https://doi.org/10.1016/j.jenvman.2019.1093680301-4797http://hdl.handle.net/1843/43256https://orcid.org/0000-0002-8148-083XCNPq - Conselho Nacional de Desenvolvimento Científico e TecnológicoCAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível SuperiorOutra AgênciaThe 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.engUniversidade Federal de Minas GeraisUFMGBrasilICA - INSTITUTO DE CIÊNCIAS AGRÁRIASJournal of Environmental ManagementPlantas dos cerradosInteligência artificialFlorestas -- AdministraçãoMáquinasComputational techniques applied to volume and biomass estimation of trees in brazilian savannainfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttps://www.sciencedirect.com/science/article/pii/S0301479719310771Jeferson Pereiramartins SilvaMaria Naruna Felix de AlmeidaMárcia Rodrigues de Moura FernandesMayra Luiza Marques da SilvaEvandro Ferreira da SilvaGilson Fernandes da SilvaAdriano Ribeiro de MendonçaChristian Dias CabacinhaEmanuel França AraújoJeangelis Silva SantosGiovanni Correia Vieirainfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFMGinstname:Universidade Federal de Minas Gerais (UFMG)instacron:UFMGLICENSELicense.txtLicense.txttext/plain; charset=utf-82042https://repositorio.ufmg.br/bitstream/1843/43256/1/License.txtfa505098d172de0bc8864fc1287ffe22MD51ORIGINALComputational techniques applied to volume and biomass estimation of trees in Brazilian savanna.pdfComputational techniques applied to volume and biomass estimation of trees in Brazilian savanna.pdfapplication/pdf2434445https://repositorio.ufmg.br/bitstream/1843/43256/2/Computational%20techniques%20applied%20to%20volume%20and%20biomass%20estimation%20of%20trees%20in%20Brazilian%20savanna.pdfd817be4d40bd089dda5b6912dce68defMD521843/432562022-07-14 09:20:39.788oai:repositorio.ufmg.br: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Repositório de PublicaçõesPUBhttps://repositorio.ufmg.br/oaiopendoar:2022-07-14T12:20:39Repositório Institucional da UFMG - Universidade Federal de Minas Gerais (UFMG)false |
| dc.title.pt_BR.fl_str_mv |
Computational techniques applied to volume and biomass estimation of trees in brazilian savanna |
| title |
Computational techniques applied to volume and biomass estimation of trees in brazilian savanna |
| spellingShingle |
Computational techniques applied to volume and biomass estimation of trees in brazilian savanna Jeferson Pereiramartins Silva Plantas dos cerrados Inteligência artificial Florestas -- Administração Máquinas |
| title_short |
Computational techniques applied to volume and biomass estimation of trees in brazilian savanna |
| title_full |
Computational techniques applied to volume and biomass estimation of trees in brazilian savanna |
| title_fullStr |
Computational techniques applied to volume and biomass estimation of trees in brazilian savanna |
| title_full_unstemmed |
Computational techniques applied to volume and biomass estimation of trees in brazilian savanna |
| title_sort |
Computational techniques applied to volume and biomass estimation of trees in brazilian savanna |
| author |
Jeferson Pereiramartins Silva |
| author_facet |
Jeferson Pereiramartins Silva Maria Naruna Felix de Almeida Márcia Rodrigues de Moura Fernandes Mayra Luiza Marques da Silva Evandro Ferreira da Silva Gilson Fernandes da Silva Adriano Ribeiro de Mendonça Christian Dias Cabacinha Emanuel França Araújo Jeangelis Silva Santos Giovanni Correia Vieira |
| author_role |
author |
| author2 |
Maria Naruna Felix de Almeida Márcia Rodrigues de Moura Fernandes Mayra Luiza Marques da Silva Evandro Ferreira da Silva Gilson Fernandes da Silva Adriano Ribeiro de Mendonça Christian Dias Cabacinha Emanuel França Araújo Jeangelis Silva Santos Giovanni Correia Vieira |
| author2_role |
author author author author author author author author author author |
| dc.contributor.author.fl_str_mv |
Jeferson Pereiramartins Silva Maria Naruna Felix de Almeida Márcia Rodrigues de Moura Fernandes Mayra Luiza Marques da Silva Evandro Ferreira da Silva Gilson Fernandes da Silva Adriano Ribeiro de Mendonça Christian Dias Cabacinha Emanuel França Araújo Jeangelis Silva Santos Giovanni Correia Vieira |
| dc.subject.other.pt_BR.fl_str_mv |
Plantas dos cerrados Inteligência artificial Florestas -- Administração Máquinas |
| topic |
Plantas dos cerrados Inteligência artificial Florestas -- Administração Máquinas |
| description |
CNPq - Conselho Nacional de Desenvolvimento Científico e Tecnológico |
| publishDate |
2019 |
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2019 |
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2022-07-14T12:20:39Z |
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2022-07-14T12:20:39Z |
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info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/article |
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article |
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http://hdl.handle.net/1843/43256 |
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https://doi.org/10.1016/j.jenvman.2019.109368 |
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0301-4797 |
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https://orcid.org/0000-0002-8148-083X |
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https://doi.org/10.1016/j.jenvman.2019.109368 http://hdl.handle.net/1843/43256 https://orcid.org/0000-0002-8148-083X |
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0301-4797 |
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eng |
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Journal of Environmental Management |
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Universidade Federal de Minas Gerais |
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UFMG |
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Brasil |
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ICA - INSTITUTO DE CIÊNCIAS AGRÁRIAS |
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Universidade Federal de Minas Gerais |
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