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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemarte2.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP6W34M/3JM4K8P
Repositorysid.inpe.br/marte2/2015/06.15.16.58.42
Last Update2015:06.15.16.58.42 (UTC) banon
Metadata Repositorysid.inpe.br/marte2/2015/06.15.16.58.43
Metadata Last Update2018:06.06.03.28.04 (UTC) administrator
ISBN978-85-17-0076-8
Label1746
Citation KeyFerreiraQuViCâMaSoSa:2015:ToSpDa
TitleTowards a Spatial Data Infrastructure for Big Spatiotemporal Data Sets
FormatInternet
Year2015
Access Date2024, May 18
Secondary TypePRE CN
Number of Files1
Size772 KiB
2. Context
Author1 Ferreira, Karine Reis
2 Queiroz, Gilberto Ribeiro
3 Vinhas, Lúbia
4 Câmara, Gilberto
5 Maurano, Luis Eduardo
6 Souza, Ricardo Cartaxo Modesto
7 Sanchez, Alber
Resume Identifier1 8JMKD3MGP5W/3C9JHKN
2
3 8JMKD3MGP5W/3C9JHM4
4 8JMKD3MGP5W/3C9JHB8
Group1
2
3 DPI-OBT-INPE-MCTI-GOV-BR
4 DPI-OBT-INPE-MCTI-GOV-BR
Affiliation1
2
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 karine@dpi.inpe.br
EditorGherardi, Douglas Francisco Marcolino
Aragão, Luiz Eduardo Oliveira e Cruz de
e-Mail Addresswanderf@dsr.inpe.br
Conference NameSimpósio Brasileiro de Sensoriamento Remoto, 17 (SBSR)
Conference LocationJoão Pessoa
Date25-29 abr. 2015
PublisherInstituto Nacional de Pesquisas Espaciais (INPE)
Publisher CitySão José dos Campos
Pages7588-7594
Book TitleAnais
OrganizationInstituto Nacional de Pesquisas Espaciais (INPE)
History (UTC)2015-06-15 16:58:43 :: banon -> administrator ::
2018-06-06 03:28:04 :: administrator -> simone :: 2015
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
AbstractThe recent technological advances in geospatial data collection, such as mobile phones, Earth observation and GPS (Global Positioning System) satellites, have created bigger spatiotemporal data sets than ever. This novel scenario has motivated new infrastructures and technologies to efficiently store, process, analyze and disseminate large data sets. In this paper, we propose a Spatial Data Infrastructure (SDI) architecture for big spatiotemporal data sets and describe a pilot implementation of it. SDI is a sharing platform that facilitates the access and integration of multi-source spatial data in a holistic framework with a number of technological components including policies and standards.
AreaSRE
TypeModelagem espacial
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/3JM4K8P
zipped data URLhttp://urlib.net/zip/8JMKD3MGP6W34M/3JM4K8P
Languagept
Target Filep1746.pdf
User Groupbanon
Visibilityshown
5. Allied materials
Mirror Repositoryurlib.net/www/2011/03.29.20.55
Next Higher Units8JMKD3MGP6W34M/3JJLLP2
8JMKD3MGPCW/3EQCCU5
Citing Item Listsid.inpe.br/marte2/2015/05.31.21.54 10
sid.inpe.br/bibdigital/2013/09.09.15.05 1
sid.inpe.br/mtc-m21/2012/07.13.14.53.44 1
Host Collectiondpi.inpe.br/marte2/2013/05.17.15.03.06
6. Notes
Empty Fieldsarchivingpolicy archivist callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition issn keywords lineage mark nextedition notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission rightsholder schedulinginformation secondarydate secondarykey secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype url versiontype volume
7. Description control
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