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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemarte.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Repositorydpi.inpe.br/sbsr@80/2008/11.16.07.45
Last Update2009:03.26.21.19.02 (UTC) administrator
Metadata Repositorydpi.inpe.br/sbsr@80/2008/11.16.07.45.27
Metadata Last Update2022:07.07.03.46.35 (UTC) administrator
Secondary KeyINPE-15829-PRE/10439
ISBN978-85-17-00044-7
Citation KeyBispoAlmValMedCre:2009:AvSuMo
TitleAvaliação da suscetibilidade aos movimentos de massa na região de São Sebastião-SP com o uso de técnicas de geoprocessamento
FormatDVD, On-line.
Year2009
Access Date2024, May 22
Secondary TypePRE CN
Number of Files1
Size1094 KiB
2. Context
Author1 Bispo, Polyanna da Conceição
2 Almeida, Cláudia Maria de
3 Valeriano, Márcio de Morisson
4 Medeiros, José Simeão de
5 Crepani, Edison
Resume Identifier1
2 8JMKD3MGP5W/3C9JGS3
3 8JMKD3MGP5W/3C9JHPL
4 8JMKD3MGP5W/3C9JHJP
5 8JMKD3MGP5W/3C9JGU9
Group1 DSR-OBT-INPE-MCT-BR
2 DSR-OBT-INPE-MCT-BR
3 DSR-OBT-INPE-MCT-BR
4 DSR-OBT-INPE-MCT-BR
5 DSR-OBT-INPE-MCT-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais
2 Instituto Nacional de Pesquisas Espaciais
3 Instituto Nacional de Pesquisas Espaciais
4 Instituto Nacional de Pesquisas Espaciais
5 Instituto Nacional de Pesquisas Espaciais
Author e-Mail Address1 polyanna@dsr.inpe.br
2 almeida@dsr.inpe.br
3 valerian@dsr.inpe.br
4 simeao@dsr.inpe.br
5 crepani@dsr.inpe.br
EditorEpiphanio, José Carlos Neves
Galvão, Lênio Soares
e-Mail Addresserich@sid.inpe.br
Conference NameSimpósio Brasileiro de Sensoriamento Remoto, 14 (SBSR)
Conference LocationNatal
Date25-30 abr. 2009
PublisherInstituto Nacional de Pesquisas Espaciais (INPE)
Publisher CitySão José dos Campos
Pages3583-3590
Book TitleAnais
Tertiary TypeArtigo
OrganizationInstituto Nacional de Pesquisas Espaciais (INPE)
History (UTC)2008-11-17 12:53:14 :: polyanna@dsr.inpe.br -> sbsr ::
2008-12-15 20:03:27 :: sbsr -> administrator ::
2009-04-20 16:24:47 :: administrator -> polyanna@dsr.inpe.br ::
2009-04-22 01:15:06 :: polyanna@dsr.inpe.br -> administrator ::
2009-06-16 13:14:51 :: administrator -> marciana ::
2009-06-22 13:55:13 :: marciana -> erich@sid.inpe.br ::
2009-06-23 17:26:10 :: erich@sid.inpe.br -> administrator ::
2009-08-05 01:53:25 :: administrator -> erich@sid.inpe.br ::
2010-05-14 02:40:30 :: erich@sid.inpe.br -> marciana ::
2011-02-16 14:17:00 :: marciana -> administrator :: 2009
2022-07-07 03:46:35 :: administrator -> :: 2009
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Keywordsmethods of spatial inference
risk analysis
geographic information systems
técnicas de inferência espacial
análise de risco
sistemas de informações geográficas
AbstractThis work aims to evaluate spatial inference methods designed for modeling the susceptibility to mass movements in the city of São Sebastião, São Paulo. Moreover, this study also aims to determine the effect of the inclusion of geomorfometric variables, namely vertical and horizontal curvatures, in the model. We compared two methods of spatial inference: Boolean and Fuzzy Gama. These methods have been tested with five variables (geomorphology, geology, pedology, land use, and slope) and then with seven variables: the former five ones besides the vertical (kv) and horizontal curvature (kh). The Boolean model displays only two classes (favorable and not favorable) for the occuring phenomenon. Regarding the Fuzzy Gama method, the qualitative transformation of numeric values turned feasible handling the uncertainties, inherent in natural phenomena, such as the gradual transitions between classes of terrain and between classes of vegetation cover. With regard to results, the Boolean method did not allow a detailed categorization of susceptibility classes in both cases (with five and with seven variables). The Fuzzy Gama method presented greater flexibility in the identification of areas and in the generation of scenarios in both cases. This was rendered possible through the manipulation of the gama index values (0.60, 0.63, 0.65, 0.70). The addition of the vertical and horizontal curvatures into the model enabled its refinement, and hence, a better performance. The Fuzzy Gama method presented more satisfactory results.
AreaSRE
TypeGeoprocessamento e Aplicações
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Avaliação da suscetibilidade...
doc Directory Contentaccess
source Directory Content
Movimento_massaMMV.pdf 17/11/2008 10:53 970.4 KiB 
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://marte.sid.inpe.br/ibi/dpi.inpe.br/sbsr@80/2008/11.16.07.45
zipped data URLhttp://marte.sid.inpe.br/zip/dpi.inpe.br/sbsr@80/2008/11.16.07.45
Languagept
Target File3583-3590.pdf
User Groupadministrator
polyanna@dsr.inpe.br
marciana
erich@sid.inpe.br
administrator
Reader Groupadministrator
polyanna@dsr.inpe.br
Visibilityshown
5. Allied materials
Mirror Repositorydpi.inpe.br/marte1@80/2009/05.26.17.02
Next Higher Units8JMKD3MGPCW/3ER446E
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.14.52.42 1
sid.inpe.br/mtc-m21/2012/07.13.14.44.49 1
sid.inpe.br/mtc-m21/2012/07.13.14.54.54 1
Host Collectiondpi.inpe.br/netuno@1905/2006/07.17.20.18
dpi.inpe.br/banon/2003/12.10.19.30
6. Notes
SponsorCAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Mark1
Empty Fieldsarchivingpolicy archivist callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition identifier issn label lineage nextedition notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readpermission rightsholder schedulinginformation secondarydate secondarymark serieseditor shorttitle tertiarymark url versiontype volume


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