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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemtc-m16c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier83LX3pFwXQZ3V9uMbiY/Mc9P7
Repositorydpi.inpe.br/geoinfo@80/2006/08.18.18.54
Last Update2006:08.18.18.54.09 (UTC) simone
Metadata Repositorydpi.inpe.br/geoinfo@80/2006/08.18.18.54.11
Metadata Last Update2023:01.30.13.12.22 (UTC) administrator
ISBN3-901882-20-0
ISSN2179-4847
Citation KeyNamikawaRens:2004:UnDiEl
TitleUncertainty in digital elevation data used for geophysical flow simulation
FormatPapel, On-line.
Year2004
Access Date2024, Apr. 24
Secondary TypePRE CN
Number of Files1
Size447 KiB
2. Context
Author1 Namikawa, Laércio M.
2 Renschler, Chris S.
Group1 DPI-INPE-MCT-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 University at Buffalo
EditorIochpe, Cirano
Câmara, Gilberto
Conference NameSimpósio Brasileiro de Geoinformática, 6 (GEOINFO).
Conference LocationCampos do Jordão
Date22-24 nov. 2004
PublisherInstituto Nacional de Pesquisas Espaciais (INPE)
Publisher CitySão José dos Campos
Pages91-108
Book TitleAnais
History (UTC)2006-08-18 18:54:11 :: isaiasjr -> administrator ::
2008-01-10 21:02:54 :: administrator -> marciana ::
2008-07-18 16:12:03 :: marciana -> administrator ::
2020-05-18 17:31:09 :: administrator -> simone :: 2004
2020-05-18 18:20:30 :: simone -> administrator :: 2004
2023-01-30 13:12:22 :: administrator -> isaiasjr :: 2004
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
KeywordsDigital Elevation Model
Uncertainty
Cluster Analysis
AbstractElevation information plays a crucial role in simulations of geophysical flows providing the slope and curvature information required to solve a series of differential equations. Digital Elevation Models (DEMs) used as simulation input diverge in resolution, acquisition time and generation methodology. When more than one elevation data set is available, they can be analyzed to provide an estimate of the uncertainty. This work present a method to estimate elevation uncertainty based on at least two elevation data sets. Cluster analysis of uncertainty is also carried out and a strong correlation between uncertainty and terrain curvature is found. The results of this study can be used to modify the available DEMs along ridge and valley lines, to create a quality of DEM information based on the curvature, and to provide a valuable quality measure for the input and the effect on the geophysical flow model results.
AreaSRE
TypeSpatial analysis and statistics
Arrangement 1urlib.net > BDMCI > Fonds > GEOINFO > VI GEOINFO > Uncertainty in digital...
Arrangement 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > VI GEOINFO > Uncertainty in digital...
Arrangement 3urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Uncertainty in digital...
Arrangement 4urlib.net > BDMCI > Fonds > GEOINFO > Coleção GEOINFO > Uncertainty in digital...
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agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/83LX3pFwXQZ3V9uMbiY/Mc9P7
zipped data URLhttp://urlib.net/zip/83LX3pFwXQZ3V9uMbiY/Mc9P7
Languageen
Target File7_ok6341.pdf
User Groupadministrator
isaiasjr
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorydpi.inpe.br/banon-pc2@80/2006/07.04.20.21
Next Higher Units8JMKD3MGP8W/3H8DCF8
8JMKD3MGPCW/3EQCCU5
8JMKD3MGPDW34P/48F29JE
Host Collectiondpi.inpe.br/banon/2000/08.18.12.42
sid.inpe.br/mtc-m18@80/2008/03.17.15.17
6. Notes
Empty Fieldsarchivingpolicy archivist callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition electronicmailaddress label lineage mark nextedition notes numberofvolumes orcid organization parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype url versiontype volume
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