Title :
Estimation of Aboveground Forest Biomass in Amazonia with Neural Networks and Remote Sensing
Author :
Almeida, A.C. ; Barros, P.L.C. ; Monteiro, J.H.A. ; Rocha, B.R.P.
Author_Institution :
Univ. Fed. do Para-UFPA, Brazil
fDate :
3/1/2009 12:00:00 AM
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 :
forestry; geographic information systems; neural nets; remote sensing; Amazonia; forest biomass; geographical information system; neural network; remote sensing; Artificial neural networks; Biomass; Costs; Information systems; Neural networks; Remote sensing; Reservoirs; Testing; Vegetation mapping; biomass estimation; neural networks; remote sensing;
Journal_Title :
Latin America Transactions, IEEE (Revista IEEE America Latina)
DOI :
10.1109/TLA.2009.5173462
