2019-12-022019-12-022009-03ALMEIDA, 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. DisponÃvel em: http://repositorio.ufpa.br/jspui/handle/2011/12104. Acesso em:.1548-0992https://repositorio.ufpa.br/handle/2011/12104This 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.Acesso AbertoBiomass estimationNeural networksRemote sensingEstimation of above-ground forest biomass in Amazonia with neural networks and remote sensingArtigo de Periódico10.1109/TLA.2009.5173462