@InProceedings{VasconcelosNovo:2001:MaCoTe,
author = "Vasconcelos, C{\'{\i}}ntia Hon{\'o}rio and Novo, Evlyn
M{\'a}rcia Le{\~a}o de Moraes",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE). Universidade de
S{\~a}o Paulo (USP).} and {Instituto Nacional de Pesquisas
Espaciais (INPE)}",
title = "Mapeamento da cobertura da terra utilizando t{\'e}cnicas de
segmenta{\c{c}}{\~a}o e classifica{\c{c}}{\~a}o por
regi{\~o}es em imagens–fra{\c{c}}{\~a}o, obtidas do sensor
TM/Landsat, na regi{\~a}o do Reservat{\'o}rio de
Tucuru{\'{\i}} – PA",
booktitle = "Anais...",
year = "2001",
editor = "Krug, Thelma and Fonseca, Leila Maria Garcia",
pages = "1035--1038",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 10. (SBSR).",
publisher = "INPE",
address = "S{\~a}o Jos{\'e} dos Campos",
keywords = "PLANEJAMENTO REGIONAL, Reservat{\'o}rio de Tucuru{\'{\i}} (PA),
uso da terra, segmenta{\c{c}}{\~a}o de imagem,
classifica{\c{c}}{\~a}o por regi{\~a}o, SGI, sistemas de
informa{\c{c}}{\~a}o geogr{\'a}fica, Imagem Landsat, land use,
image segmentation, geographic information systems, Landsat
imagery.",
abstract = "Remote sensing techniques are mandatory for monitoring land use
changes is large areas such as the Amazon. Land use mapping is
usually performed by both manual and digital pixel based
classification methods which are cost and time -consuming. In this
study an image segmentation approach is applied to unmixed
TM-Landsat image form mapping land use classes related to malaria
vector proliferation in Tucuru{\'{\i}}-PA reservoir region.",
conference-location = "Foz do Igua{\c{c}}u",
conference-year = "21-26 abr. 2001",
isbn = "85-17-00016-1",
label = "9209",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais",
ibi = "dpi.inpe.br/lise/2001/09.19.13.02",
url = "http://urlib.net/ibi/dpi.inpe.br/lise/2001/09.19.13.02",
targetfile = "1035.1038.162.pdf",
type = "Planejamento Regional",
urlaccessdate = "25 abr. 2024"
}