@InProceedings{CardozoLopeMont:2017:IdShLa,
author = "Cardozo, Claudia Paola and Lopes, Eymar Silva Sampaio and
Monteiro, Ant{\^o}nio Miguel Vieira",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)}",
title = "Identifying shallow landslide susceptibility in Nova Friburgo, Rio
de Janeiro",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "5745--5751",
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 = "Landslides cause enormous economic damage and fatalities
worldwide. The Mega disaster in the mountainous region of Rio de
Janeiro took place on 11 and 12 January 2011 and reached seven
municipalities. This landslides event is considered the worst
disaster in Brazilian history. Landslide susceptibility zonation
is one of the most important tasks in landslide risk assessment.
The different approaches for landslide susceptibility modelling
includes: 1) Heuristics (e.g., index-based approach and an
analytical hierarchical process approach); 2) Statistical
(statistical index, certainty factor, probability based methods,
weight of evidence modelling, multiple linear regression and
logistic regression analysis); 3) Process-based or deterministic
modelling (slope stability factor). In this study, the
process-based model SINMAP (Stability Index Mapping) was applied
to determine landslide susceptibility in Nova Friburgo
municipality (Rio de Janeiro State). The most common landslide
processes in the study area are shallow triggered by rainfall.
Entire database was incorporated in a GIS environment to compute
the susceptibility index in a single-calibration mode. Results
show that 13,94 % of area includes terrains with low
susceptibility; 12,1 % includes moderate susceptibility and 73,96
% a high susceptibility. Validation showed that 89% of shallow
landslides mapped occurred within the three highest susceptibility
classes. Final susceptibility map can be used as a predictive
model for future location of mass movements. The deterministic
method proved to be a reliable technique for landslide
susceptibility analysis. However it is necessary to test the
sensitivity to different input data sets and geotechnical
parameter values to have a holistic approach.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59333",
language = "en",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSMBKT",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMBKT",
targetfile = "59333.pdf",
type = "Geomorfologia",
urlaccessdate = "27 abr. 2024"
}