Artigo

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...

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Autor principal: ALMEIDA, Arthur da Costa
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
Assuntos:
Biomass estimation
Neural networks
Remote sensing
Acesso em linha: http://repositorio.ufpa.br/jspui/handle/2011/12104
id ir-2011-12104
recordtype dspace
spelling ir-2011-121042019-12-16T17:12:11Z Estimation of above-ground forest biomass in Amazonia with neural networks and remote sensing ALMEIDA, Arthur da Costa BARROS, Paulo Luiz Contente MONTEIRO, José Humberto Araujo ROCHA, Brigida Ramati Pereira da Biomass estimation Neural networks 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 inventory. This methodology was tested and validated in Tucurui Reservoir, Brazil. ALMEIDA, A. C; MONTEIRO, J. H. A; ROCHA, B. R. P. Universidade Federal do Pará 2019-12-02T13:33:32Z 2019-12-02T13:33:32Z 2009-03 Artigo de Periódico 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:. 1548-0992 http://repositorio.ufpa.br/jspui/handle/2011/12104 10.1109/TLA.2009.5173462 eng IEEE Latin America Transactions Acesso Aberto application/pdf Universidade Federal do Pará Brasil UFPA Disponível na internet via correio eletrônico: riufpabc@ufpa.br
institution Repositório Institucional - Universidade Federal do Pará
collection RI-UFPA
language eng
topic Biomass estimation
Neural networks
Remote sensing
spellingShingle Biomass estimation
Neural networks
Remote sensing
ALMEIDA, Arthur da Costa
Estimation of above-ground forest biomass in Amazonia with neural networks and remote sensing
topic_facet Biomass estimation
Neural networks
Remote sensing
description 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.
format Artigo
author ALMEIDA, Arthur da Costa
author2 BARROS, Paulo Luiz Contente
MONTEIRO, José Humberto Araujo
ROCHA, Brigida Ramati Pereira da
author2Str BARROS, Paulo Luiz Contente
MONTEIRO, José Humberto Araujo
ROCHA, Brigida Ramati Pereira da
title Estimation of above-ground forest biomass in Amazonia with neural networks and remote sensing
title_short Estimation of above-ground forest biomass in Amazonia with neural networks and remote sensing
title_full Estimation of above-ground forest biomass in Amazonia with neural networks and remote sensing
title_fullStr Estimation of above-ground forest biomass in Amazonia with neural networks and remote sensing
title_full_unstemmed Estimation of above-ground forest biomass in Amazonia with neural networks and remote sensing
title_sort estimation of above-ground forest biomass in amazonia with neural networks and remote sensing
publisher Universidade Federal do Pará
publishDate 2019
url http://repositorio.ufpa.br/jspui/handle/2011/12104
_version_ 1787148033480196096
score 11.653393

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