Estimation of above-ground forest biomass in Amazonia with neural networks and remote sensing
This paper proposes an integrated methodology for estimating aboveground forest biomass in Amazon region. It is based on remote sensing, artificial neural networks and geographical information systems technologies for achieving confident results with a lesser cost than traditional methods of forest...
| Autor principal: | ALMEIDA, Arthur da Costa |
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| Outros Autores: | BARROS, Paulo Luiz Contente, MONTEIRO, José Humberto Araujo, ROCHA, Brigida Ramati Pereira da |
| Grau: | Artigo |
| Idioma: | eng |
| Publicado em: |
Universidade Federal do Pará
2019
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| Assuntos: | |
| Acesso em linha: |
http://repositorio.ufpa.br/jspui/handle/2011/12104 |
| Resumo: |
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This paper proposes an integrated methodology for estimating aboveground forest biomass in Amazon region. It is based on remote sensing, artificial neural networks and geographical information systems technologies for achieving confident results with a lesser cost than traditional methods of forest inventory. This methodology was tested and validated in Tucurui Reservoir, Brazil. |