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http://hdl.handle.net/1843/43256| Tipo: | Artigo de Periódico |
| Título: | Computational techniques applied to volume and biomass estimation of trees in brazilian savanna |
| Autor(es): | 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 |
| Resumo: | The 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. |
| Assunto: | Plantas dos cerrados Inteligência artificial Florestas -- Administração Máquinas |
| Idioma: | eng |
| País: | Brasil |
| Editor: | Universidade Federal de Minas Gerais |
| Sigla da Instituição: | UFMG |
| Departamento: | ICA - INSTITUTO DE CIÊNCIAS AGRÁRIAS |
| Tipo de Acesso: | Acesso Aberto |
| Identificador DOI: | https://doi.org/10.1016/j.jenvman.2019.109368 |
| URI: | http://hdl.handle.net/1843/43256 |
| Data do documento: | 2019 |
| metadata.dc.url.externa: | https://www.sciencedirect.com/science/article/pii/S0301479719310771 |
| metadata.dc.relation.ispartof: | Journal of Environmental Management |
| Aparece nas coleções: | Artigo de Periódico |
Arquivos associados a este item:
| Arquivo | Descrição | Tamanho | Formato | |
|---|---|---|---|---|
| Computational techniques applied to volume and biomass estimation of trees in Brazilian savanna.pdf | 2.38 MB | Adobe PDF | Visualizar/Abrir |
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