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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemarte2.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP6W34M/3PSMBKT
Repositorysid.inpe.br/marte2/2017/10.27.15.32.22
Last Update2017:10.27.15.32.22 (UTC) administrator
Metadata Repositorysid.inpe.br/marte2/2017/10.27.15.32.23
Metadata Last Update2018:06.06.03.10.22 (UTC) administrator
ISBN978-85-17-00088-1
Label59333
Citation KeyCardozoLopeMont:2017:IdShLa
TitleIdentifying shallow landslide susceptibility in Nova Friburgo, Rio de Janeiro
FormatInternet
Year2017
Access Date2024, May 17
Secondary TypePRE CN
Number of Files1
Size1080 KiB
2. Context
Author1 Cardozo, Claudia Paola
2 Lopes, Eymar Silva Sampaio
3 Monteiro, Antônio Miguel Vieira
Resume Identifier1
2 8JMKD3MGP5W/3C9JH3B
3 8JMKD3MGP5W/3C9JGJN
Group1 SER-SRE-SESPG-INPE-MCTIC-GOV-BR
2 DIDPI-CGOBT-INPE-MCTIC-GOV-BR
3 DIDPI-CGOBT-INPE-MCTIC-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 paola@dpi.inpe.br
EditorGherardi, Douglas Francisco Marcolino
Aragão, Luiz Eduardo Oliveira e Cruz de
e-Mail Addressdaniela.seki@inpe.br
Conference NameSimpósio Brasileiro de Sensoriamento Remoto, 18 (SBSR)
Conference LocationSantos
Date28-31 maio 2017
PublisherInstituto Nacional de Pesquisas Espaciais (INPE)
Publisher CitySão José dos Campos
Pages5745-5751
Book TitleAnais
OrganizationInstituto Nacional de Pesquisas Espaciais (INPE)
History (UTC)2017-10-27 15:32:23 :: banon -> administrator ::
2018-06-06 03:10:22 :: administrator -> simone :: 2017
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
AbstractLandslides 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.
AreaSRE
TypeGeomorfologia
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGP6W34M/3PSMBKT
zipped data URLhttp://urlib.net/zip/8JMKD3MGP6W34M/3PSMBKT
Languageen
Target File59333.pdf
User Groupbanon
Visibilityshown
5. Allied materials
Mirror Repositoryurlib.net/www/2011/03.29.20.55
Next Higher Units8JMKD3MGP6W34M/3PMFNUS
8JMKD3MGPCW/3EQCCU5
8JMKD3MGPCW/3F3NU5S
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.14.40.32 5
sid.inpe.br/bibdigital/2013/09.09.15.05 1
sid.inpe.br/mtc-m21/2012/07.13.14.45.45 1
Host Collectiondpi.inpe.br/marte2/2013/05.17.15.03.06
6. Notes
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