@InProceedings{SilvaMend:2017:AnRiAs,
author = "Silva, Dennis Rodrigues da and Mendon{\c{c}}a, Marcos Barreto
de",
title = "An{\'a}lise de riscos associados a movimentos de massa na
{\'a}rea central no munic{\'{\i}}pio de Angra dos Reis ? RJ",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "3862--3869",
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 = "This work consists of making a risk analysis using as census data
source the 2010 census, which was carried out under a new census
unit through which it was possible to make more detailed analyzes:
the court face, currently the smallest unit of census data
collection used by IBGE (Brazilian Institute of Geography and
Statistics). With processes that used satellite image
interpretation and combinations between different mappings to
generate a new base that allowed the association between
susceptibility sectors and census data (court face and census
tracts), a new mapping of susceptibility sectors was generated
with census data. This research was applied in the central area of
the municipality of Angra dos Reis - RJ, a municipality that
constantly coexists with hazards like mass movements, which can
lead to disasters for local communities. The results of this
research were satisfactory. The use of court faces allowed a
greater detail of the risk analysis, especially in the components
of risk like vulnerability and exposure, in places that previously
had under the same census sector the values of these generalized
components - since in the same census sector there could be houses
of urban patterns better than others, changing the values of
vulnerability and exposure of this sector.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "60200",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSLTP5",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLTP5",
targetfile = "60200.pdf",
type = "Risco ambiental",
urlaccessdate = "27 abr. 2024"
}