@InProceedings{GalvãoMene:2005:GeMaPo,
author = "Galv{\~a}o, Wougran Soares and Meneses, Paulo Roberto",
affiliation = "{Ag{\^e}ncia Nacional de Energia El{\'e}trica (ANEEL)} and
{Universidade de Bras{\'{\i}}lia (UnB) Instituto de
Geoci{\^e}ncias.}",
title = "Gera{\c{c}}{\~a}o do mapa de potencial {\`a}
loca{\c{c}}{\~a}o de esta{\c{c}}{\~o}es na Bacia do Rio
S{\~a}o Francisco como um produto estrat{\'e}gico de apoio
{\`a}s a{\c{c}}{\~o}es de planejamento de redes
fluviom{\'e}tricas, atrav{\'e}s do uso de SIG e do classificador
neural supervisionado",
booktitle = "Anais...",
year = "2005",
editor = "Epiphanio, Jos{\'e} Carlos Neves and Fonseca, Leila Maria
Garcia",
pages = "2519--2526",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 12. (SBSR)",
publisher = "INPE",
address = "S{\~a}o Jos{\'e} dos Campos",
keywords = "neural network, geographic information system, streamgaging
network, maps of potential location, redes neurais, sistema de
informa{\c{c}}{\~a}o geogr{\'a}fica, rede fluviom{\'e}trica,
mapas de potencial {\`a} loca{\c{c}}{\~a}o.",
abstract = "In this study, the proposed methodology was based on the
integrated analysis of a set of geo-referenced geo-environment
variables and neural network technique for spatial inference. The
Geographic Information System (GIS) was used to obtain model for
potential location of fluviometric stations that provided the
basis for planning and management of fluviometric networks in the
S{\~a}o Francisco river basin.",
conference-location = "Goi{\^a}nia",
conference-year = "16-21 abr. 2005",
isbn = "85-17-00018-8",
language = "Portugu{\^e}s",
organisation = "Instituto Nacional de Pesquisas Espaciais",
ibi = "ltid.inpe.br/sbsr/2004/11.21.01.34",
url = "http://urlib.net/ibi/ltid.inpe.br/sbsr/2004/11.21.01.34",
targetfile = "2519.pdf",
type = "Hidrologia",
urlaccessdate = "16 jun. 2024"
}