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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21d.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34T/4AQ9225
Repositorysid.inpe.br/mtc-m21d/2024/02.23.14.02   (restricted access)
Last Update2024:02.23.14.02.37 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21d/2024/02.23.14.02.37
Metadata Last Update2024:04.17.08.12.12 (UTC) administrator
DOI10.1080/17538947.2024.2313099
ISSN1753-8947
Citation KeyGomesQueFerPebBar:2024:ToBiEa
TitleBrazil Data Cube Workflow Engine: a tool for big Earth observation data processing
Year2024
MonthDec.
Access Date2024, May 11
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size2287 KiB
2. Context
Author1 Gomes, Vitor Conrado F.
2 Queiroz, Gilberto Ribeiro de
3 Ferreira, Karine Reis
4 Pebesma, Edzer
5 Barbosa, Cláudio Clemente Faria
Resume Identifier1
2 8JMKD3MGP5W/3C9JHBC
3 8JMKD3MGP5W/3C9JHKN
4
5 8JMKD3MGP5W/3C9JGSB
Group1
2 DIOTG-CGCT-INPE-MCTI-GOV-BR
3 DIOTG-CGCT-INPE-MCTI-GOV-BR
4
5 DIOTG-CGCT-INPE-MCTI-GOV-BR
Affiliation1 Instituto de Estudos Avançados (IEAv)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Westfalische Wilhelms University
5 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 vconrado@gmail.com
2 gilberto.queiroz@inpe.br
3 karine.ferreira@inpe.br
4
5 claudio.barbosa@inpe.br
JournalInternational Journal of Digital Earth
Volume17
Number1
Pagese2313099
Secondary MarkA2_INTERDISCIPLINAR A2_GEOGRAFIA B3_GEOCIÊNCIAS
History (UTC)2024-02-23 14:03:15 :: simone -> administrator :: 2024
2024-04-17 08:12:12 :: administrator -> simone :: 2024
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsBig data
Earth observation data
spatial data infrastructure
openEO
workflow orchestration
AbstractEarth Observation (EO) satellites have produced vast image collections that are freely accessible to society. However, handling these images often surpasses the capabilities of traditional hardware and software for EO data storage and processing, posing challenges for traditional Spatial Data Infrastructure (SDI). To overcome these challenges, innovative cloud computing and distributed systems have been developed, such as matrix databases, MapReduce systems, and web services. These technologies are now integrated into leading-edge platforms, forming a new generation of SDI for big EO data. These platforms have different characteristics in terms of governance, technologies, data access, infrastructure abstractions, data processing, and flexibility to extend their functionality. Our work contributes to the area of SDI for big EO data by proposing a server-side data-processing tool called Brazil Data Cube Workflow Engine (BDC-WE), based on workflow orchestration approach. BDC-WE provides a high-level interface using the openEO API for big EO data accessing and processing, allowing SDI maintainers to easily describe sequences of processes and integrate new algorithms. The architecture proposed in this study was implemented and the prototype was evaluated in two case studies described in this paper.
AreaSRE
Arrangement 1urlib.net > BDMCI > Fonds > LabISA > Brazil Data Cube...
Arrangement 2urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > Brazil Data Cube...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
agreement.html 23/02/2024 11:02 1.0 KiB 
4. Conditions of access and use
Languageen
Target FileBrazil Data Cube Workflow Engine  a tool for big Earth observation data processing.pdf
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Mirror Repositoryurlib.net/www/2021/06.04.03.40.25
Next Higher Units8JMKD3MGPCW/439EAFB
8JMKD3MGPCW/46KUATE
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.14.49.22 1
sid.inpe.br/mtc-m21/2012/07.13.14.43.57 1
sid.inpe.br/bibdigital/2020/09.18.00.06 1
DisseminationWEBSCI; PORTALCAPES; SCOPUS.
Host Collectionurlib.net/www/2021/06.04.03.40
6. Notes
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