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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34R/42H2N7E
Repositorysid.inpe.br/mtc-m21c/2020/05.21.12.02
Last Update2020:05.21.12.02.01 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21c/2020/05.21.12.02.01
Metadata Last Update2022:01.04.01.35.09 (UTC) administrator
DOI10.3390/RS12081253
ISSN2072-4292
Citation KeyGomesQueiFerr:2020:OvPlBi
TitleAn overview of platforms for big earth observation data management and analysis
Year2020
MonthApr.
Access Date2024, Mar. 29
Secondary TypePRE PI
Number of Files1
Size1451 KiB
2. Context
Author1 Gomes, Vitor C. F.
2 Queiroz, Gilberto Ribeiro
3 Ferreira, Karine Reis
Resume Identifier1
2
3 8JMKD3MGP5W/3C9JHKN
ORCID1 0000-0003-3239-2160
2 0000-0001-7534-0219
3 0000-0003-2656-5504
Group1
2 DIDPI-CGOBT-INPE-MCTIC-GOV-BR
3 DIDPI-CGOBT-INPE-MCTIC-GOV-BR
Affiliation1 Instituto de Estudos Avançados (IEAv)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 vitor@ieav.cta.br
2 gilberto.queiroz@inpe.br
3 karine.ferreira@inpe.br
JournalRemote Sensing
Volume12
Number8
Pagese1253
Secondary MarkB3_GEOGRAFIA B3_ENGENHARIAS_I B4_GEOCIÊNCIAS B4_CIÊNCIAS_AMBIENTAIS B5_CIÊNCIAS_AGRÁRIAS_I
History (UTC)2020-05-21 12:02:01 :: simone -> administrator ::
2020-05-21 12:02:02 :: administrator -> simone :: 2020
2020-05-21 12:02:28 :: simone -> administrator :: 2020
2020-05-22 14:10:19 :: administrator -> simone :: 2020
2020-06-23 22:46:24 :: simone -> administrator :: 2020
2020-07-08 17:10:56 :: administrator -> simone :: 2020
2020-12-14 14:30:27 :: simone -> administrator :: 2020
2022-01-04 01:35:09 :: administrator -> simone :: 2020
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
Keywordsbig Earth observation data
Google Earth Engine
Sentinel Hub
Open Data Cube
SEPAL
JEODPP
pipsCloud
Abstract: In recent years, Earth observation (EO) satellites have generated big amounts of geospatial data that are freely available for society and researchers. This scenario brings challenges for traditional spatial data infrastructures (SDI) to properly store, process, disseminate and analyze these big data sets. To meet these demands, novel technologies have been proposed and developed, based on cloud computing and distributed systems, such as array database systems, MapReduce systems and web services to access and process big Earth observation data. Currently, these technologies have been integrated into cutting edge platforms in order to support a new generation of SDI for big Earth observation data. This paper presents an overview of seven platforms for big Earth observation data management and analysisGoogle Earth Engine (GEE), Sentinel Hub, Open Data Cube (ODC), System for Earth Observation Data Access, Processing and Analysis for Land Monitoring (SEPAL), openEO, JEODPP, and pipsCloud. We also provide a comparison of these platforms according to criteria that represent capabilities of the EO community interest.
AreaSRE
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > An overview of...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
agreement.html 21/05/2020 09:02 1.0 KiB 
4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGP3W34R/42H2N7E
zipped data URLhttp://urlib.net/zip/8JMKD3MGP3W34R/42H2N7E
Languageen
Target Fileremotesensing-12-01253.pdf
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Archiving Policyallowpublisher allowfinaldraft
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3EQCCU5
Citing Item Listsid.inpe.br/bibdigital/2013/09.09.15.05 2
sid.inpe.br/mtc-m21/2012/07.13.14.53.08 1
DisseminationWEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS.
Host Collectionurlib.net/www/2017/11.22.19.04
6. Notes
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