@InProceedings{DalAstaAmarArca:2017:InPaSe,
author = "Dal'Asta, Ana Paula and Amaral, Silvana and Arcanjo, Jeferson de
Souza",
affiliation = "{} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "O loteamento urbano da Amaz{\^o}nia: infer{\^e}ncias a partir do
sensoriamento remoto no Sudoeste Paraense",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "4903--4910",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "Urbanization is a key issue when studying scenarios for
sustainable development for the Amazonian region. This paper
presents the potential of high-resolution imagery, RapidEye and
CBERS 4, and fieldwork data to analyze the urban sprawl of three
cities - Itaituba, Moju{\'{\i}} dos Campos and Alter do
Ch{\~a}o - in southwestern Par{\'a} from 2011 to 2015. PAN
CBERS4 multispectral and panchromatic images were combined using
Principal Component Spectral Sharpening method. RapidEye images
were used to map the urban occupation in 2011 by visual
interpretation. Urban sprawl was identified from the
interpretation of the CBERS 4 images of 2015. Ancillary data and
fieldwork information complemented and characterized theses areas
of the horizontal expansion of cities associated the urbanized
allotments, housing estates, condominiums and informal spontaneous
occupation. The results show that the horizontal expansion of
these three cities has a tendency for area fragmentation within
the urban occupation areas, as observed by the empty spaces
interspersed among expansion areas. Economic factors, expectation
of the implementation of large enterprises, the price of land, and
the definition of the legal tenure of urban land may be linked to
the recent expansion of these cities. The analysis of the urban
space production, based on multi-temporal remote sensing high
resolution data, provides information that can support a broader
discussion about development models and urbanization planning for
the Amazon.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59313",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSM3T3",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSM3T3",
targetfile = "59313.pdf",
type = "Urbaniza{\c{c}}{\~a}o",
urlaccessdate = "11 maio 2024"
}