@InProceedings{AlbuquerqueSilvSant:2017:IdÁrVu,
author = "Albuquerque, Erickson Melo de and Silva Neto, C{\'{\i}}cero
Fidelis da and Santos, Marcos Leonardo Ferreira dos",
title = "Identifica{\c{c}}{\~a}o de {\'a}reas vulner{\'a}veis {\`a}
ocupa{\c{c}}{\~a}o irregula em Gramame",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "7789--7796",
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 = "Based on these concepts is the importance of this study,
considering that according to the IBGE Census (2010), the city of
Jo{\~a}o Pessoa is in accelerated population growth, which can be
proven with the significant expansion of the urban network between
the years of 1990 and 2006, and the appearance of these
occupations / agglomerations in the area under study, which is the
neighborhood of Gramame, located in the southern zone of the
municipality of Jo{\~a}o Pessoa, and according to the IBGE Census
(2010) The neighborhood had the highest population growth in the
city, rising from 6.2 thousand inhabitants (2000) to more than
24.9 thousand inhabitants (2010). The data used were: the
delimitation of the municipality of Jo{\~a}o Pessoa and the
neighborhood of Gramame, the lots present in the neighborhood and
the bodies of water that cut the city, obtained from the
Municipality of Jo{\~a}o Pessoa - PB (PMJP), In shapefile format;
And SRTM / TOPODATA images for the slope computation. The software
used was Quantum GIS 2.18.0. Through these data the criteria to be
consulted were defined, aiming at the identification of lots with
potential vulnerability to invasion: (a) public and empty lots;
(B) without wall and without occupation and (c) without garbage
collection and sewage network. Through the geoprocessing and its
tools it became possible to identify public batches susceptible to
irregular occupations, and later the representation of this
spatial information.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "60094",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSMGE8",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMGE8",
targetfile = "60094.pdf",
type = "Mapeamento",
urlaccessdate = "27 abr. 2024"
}