DocumentCode
1146971
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
Volume
7
Issue
1
fYear
2009
fDate
3/1/2009 12:00:00 AM
Firstpage
27
Lastpage
32
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;
fLanguage
English
Journal_Title
Latin America Transactions, IEEE (Revista IEEE America Latina)
Publisher
ieee
ISSN
1548-0992
Type
jour
DOI
10.1109/TLA.2009.5173462
Filename
5173462
Link To Document