Estimativa de Biomassa Florestal na Amazonia com Redes Neurais e Sensoriamento Remoto (Estimation of Aboveground Forest Biomass in Amazonia with Neural Networks and Remote Sensing)

Arthur da Costa Almeida (, Paulo Luiz Contente Barros (, José Humberto Araujo Monteiro (, Brigida Ramati Pereira da Rocha (

1Universidade Federal do Pará - UFPA
2Universidade Federal Rural da Amazonia - UFRA

This paper appears in: Revista IEEE América Latina

Publication Date: March 2009
Volume: 7,   Issue: 1 
ISSN: 1548-0992

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.

Index Terms:
biomass estimation, neural networks, remote sensing,   

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