Please use this identifier to cite or link to this item: http://repositorio.ufpa.br/jspui/handle/2011/12104
metadata.dc.type: Artigo de Periódico
Issue Date: Mar-2009
metadata.dc.creator: ALMEIDA, Arthur da Costa
BARROS, Paulo Luiz Contente
MONTEIRO, José Humberto Araujo
ROCHA, Brigida Ramati Pereira da
metadata.dc.description.affiliation: ALMEIDA, A. C; MONTEIRO, J. H. A; ROCHA, B. R. P. Universidade Federal do Pará
Title: Estimation of above-ground forest biomass in Amazonia with neural networks and remote sensing
Citation: ALMEIDA, Arthur da Costa et al. Estimation of above-ground forest biomass in Amazonia with neural networks and remote sensing. IEEE Latin American Transactions, [S. l.], v. 7, n. 1, p. 27-32, Mar. 2009. DOI 10.1109/TLA.2009.5173462. Disponível em: http://repositorio.ufpa.br/jspui/handle/2011/12104. Acesso em:.
Abstract: 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.
Keywords: Biomass estimation
Neural networks
Remote sensing
Series/Report no.: IEEE Latin America Transactions
ISSN: 1548-0992
metadata.dc.publisher.country: Brasil
Publisher: Universidade Federal do Pará
metadata.dc.publisher.initials: UFPA
metadata.dc.rights: Acesso Aberto
metadata.dc.source.uri: Disponível na internet via correio eletrônico: riufpabc@ufpa.br
metadata.dc.identifier.doi: 10.1109/TLA.2009.5173462
Appears in Collections:Artigos Científicos - ICB

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