1. Identity statement | |
Reference Type | Journal Article |
Site | mtc-m21c.sid.inpe.br |
Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identifier | 8JMKD3MGP3W34R/43QPTH2 |
Repository | sid.inpe.br/mtc-m21c/2020/12.21.11.06 |
Last Update | 2020:12.21.11.06.34 (UTC) simone |
Metadata Repository | sid.inpe.br/mtc-m21c/2020/12.21.11.06.34 |
Metadata Last Update | 2021:01.08.15.17.20 (UTC) administrator |
DOI | 10.3390/rs12244033 |
ISSN | 2072-4292 |
Citation Key | FerreiraQVMSPCCGSSAFNCZZKSCF:2020:ReMePr |
Title | Earth Observation Data Cubes for Brazil: Requirements, Methodology and Products |
Year | 2020 |
Access Date | 2024, May 22 |
Type of Work | journal article |
Secondary Type | PRE PI |
Number of Files | 1 |
Size | 21315 KiB |
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2. Context | |
Author | 1 Ferreira, Karine Reis 2 Queiroz, Gilberto Ribeiro 3 Vinhas, Lubia 4 Marujo, Rennan de Freitas Bezerra 5 Simões, Rolf Ezequiel de Oliveira 6 Picoli, Michelle Cristina Araújo 7 Camara, Gilberto 8 Cartaxo, Ricardo 9 Gomes, Vitor Conrado Faria 10 Santos, Lorena Alves dos 11 Sanchez Ipia, Alber Hamersson 12 Arcanjo, Jeferson de Souza 13 Fronza, José Guilherme 14 Noronha, Carlos Alberto 15 Costa, Raphael Willian da 16 Zaglia, Matheus Cavassan 17 Zioti, Fabiana 18 Körting, Thales Sehn 19 Soares, Anderson Reis 20 Chaves, Michel Eustáquio Dantas 21 Fonseca, Leila Maria Garcia |
Resume Identifier | 1 8JMKD3MGP5W/3C9JHKN 2 3 8JMKD3MGP5W/3C9JHM4 4 5 6 7 8JMKD3MGP5W/3C9JHB8 8 9 10 11 12 13 14 15 16 17 18 19 20 21 8JMKD3MGP5W/3C9JHLD |
ORCID | 1 0000-0003-2656-5504 2 0000-0001-7534-0219 3 0000-0003-1104-3607 4 0000-0002-0082-9498 5 0000-0003-0953-4132 6 0000-0001-9855-2046 7 0000-0002-3681-487X 8 9 10 0000-0003-2612-5859 11 0000-0001-7966-2880 12 13 0000-0002-0830-8101 14 15 16 17 0000-0002-7305-6043 18 0000-0002-0876-0501 19 0000-0001-6513-2192 20 0000-0002-1498-6830 |
Group | 1 DIDPI-CGOBT-INPE-MCTIC-GOV-BR 2 DIDPI-CGOBT-INPE-MCTIC-GOV-BR 3 DIDPI-CGOBT-INPE-MCTIC-GOV-BR 4 SER-SRE-SESPG-INPE-MCTIC-GOV-BR 5 SER-SRE-SESPG-INPE-MCTIC-GOV-BR 6 SER-SRE-SESPG-INPE-MCTIC-GOV-BR 7 DIDPI-CGOBT-INPE-MCTIC-GOV-BR 8 SER-SRE-SESPG-INPE-MCTIC-GOV-BR 9 CAP-COMP-SESPG-INPE-MCTIC-GOV-BR 10 SER-SRE-SESPG-INPE-MCTIC-GOV-BR 11 SER-SRE-SESPG-INPE-MCTIC-GOV-BR 12 SER-SRE-SESPG-INPE-MCTIC-GOV-BR 13 SER-SRE-SESPG-INPE-MCTIC-GOV-BR 14 SER-SRE-SESPG-INPE-MCTIC-GOV-BR 15 SER-SRE-SESPG-INPE-MCTIC-GOV-BR 16 SER-SRE-SESPG-INPE-MCTIC-GOV-BR 17 SER-SRE-SESPG-INPE-MCTIC-GOV-BR 18 DIDSR-CGOBT-INPE-MCTIC-GOV-BR 19 DIDSR-CGOBT-INPE-MCTIC-GOV-BR 20 SER-SRE-SESPG-INPE-MCTIC-GOV-BR 21 DIDSR-CGOBT-INPE-MCTIC-GOV-BR |
Affiliation | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Instituto Nacional de Pesquisas Espaciais (INPE) 3 Instituto Nacional de Pesquisas Espaciais (INPE) 4 Instituto Nacional de Pesquisas Espaciais (INPE) 5 Instituto Nacional de Pesquisas Espaciais (INPE) 6 Instituto Nacional de Pesquisas Espaciais (INPE) 7 Instituto Nacional de Pesquisas Espaciais (INPE) 8 Instituto Nacional de Pesquisas Espaciais (INPE) 9 Instituto Nacional de Pesquisas Espaciais (INPE) 10 Instituto Nacional de Pesquisas Espaciais (INPE) 11 Instituto Nacional de Pesquisas Espaciais (INPE) 12 Instituto Nacional de Pesquisas Espaciais (INPE) 13 Instituto Nacional de Pesquisas Espaciais (INPE) 14 Instituto Nacional de Pesquisas Espaciais (INPE) 15 Instituto Nacional de Pesquisas Espaciais (INPE) 16 Instituto Nacional de Pesquisas Espaciais (INPE) 17 Instituto Nacional de Pesquisas Espaciais (INPE) 18 Instituto Nacional de Pesquisas Espaciais (INPE) 19 Instituto Nacional de Pesquisas Espaciais (INPE) 20 Instituto Nacional de Pesquisas Espaciais (INPE) 21 Instituto Nacional de Pesquisas Espaciais (INPE) |
Author e-Mail Address | 1 karine.ferreira@inpe.br 2 gilberto.queiroz@inpe.br 3 lubia.vinhas@inpe.br 4 rennan.marujo@inpe.br 5 rolf.simoes@inpe.br 6 michelle.picoli@inpe.br 7 gilberto.camara@inpe.br 8 ricardo.cartaxo@inpe.br 9 vitor.gomes@inpe.br 10 lorena.santos@inpe.br 11 alber.ipia@inpe.br 12 jeferson.arcanjo@inpe.br 13 jose.fronza@inpe.br 14 carlos.noronha@inpe.br 15 raphael.costa@inpe.br 16 matheus.zaglia@inpe.br 17 fabiana.zioti@inpe.br 18 thales.korting@inpe.br 19 anderson.soares@inpe.br 20 michel.chaves@inpe.br 21 leila.fonseca@inpe.br |
Journal | Remote Sensing |
Volume | 12 |
Pages | e4033 |
Secondary Mark | B3_GEOGRAFIA B3_ENGENHARIAS_I B4_GEOCIÊNCIAS B4_CIÊNCIAS_AMBIENTAIS B5_CIÊNCIAS_AGRÁRIAS_I |
History (UTC) | 2020-12-21 11:06:34 :: simone -> administrator :: 2020-12-21 11:06:36 :: administrator -> simone :: 2020 2020-12-21 11:07:30 :: simone -> administrator :: 2020 2021-01-08 15:17:20 :: administrator -> simone :: 2020 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Content Type | External Contribution |
Version Type | publisher |
Keywords | analysis-ready data data cubes image time series analysis machine learning land use and cover mapping |
Abstract | Recently, remote sensing image time series analysis has being widely used to investigate the dynamics of environments over time. Many studies have combined image time series analysis with machine learning methods to improve land use and cover change mapping. In order to support image time series analysis, analysis-ready data (ARD) image collections have been modeled and organized as multidimensional data cubes. Data cubes can be defined as sets of time series associated with spatially aligned pixels. Based on lessons learned in the research project e-Sensing, related to national demands for land use and cover monitoring and related to state-of-the-art studies on relevant topics, we define the requirements to build Earth observation data cubes for Brazil. This paper presents the methodology to generate ARD and multidimensional data cubes from remote sensing images for Brazil. We describe the computational infrastructure that we are developing in the Brazil Data Cube project, composed of software applications and Web services to create, integrate, discover, access, and process the data sets. We also present how we are producing land use and cover maps from data cubes using image time series analysis and machine learning techniques. |
Area | SRE |
Arrangement 1 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Earth Observation Data... |
Arrangement 2 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Earth Observation Data... |
Arrangement 3 | urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > CAP > Earth Observation Data... |
Arrangement 4 | urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Earth Observation Data... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | |
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4. Conditions of access and use | |
data URL | http://urlib.net/ibi/8JMKD3MGP3W34R/43QPTH2 |
zipped data URL | http://urlib.net/zip/8JMKD3MGP3W34R/43QPTH2 |
Language | en |
Target File | ferreira_earth.pdf |
User Group | simone |
Reader Group | administrator simone |
Visibility | shown |
Archiving Policy | allowpublisher allowfinaldraft |
Update Permission | not transferred |
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5. Allied materials | |
Mirror Repository | urlib.net/www/2017/11.22.19.04.03 |
Next Higher Units | 8JMKD3MGPCW/3EQCCU5 8JMKD3MGPCW/3ER446E 8JMKD3MGPCW/3F2PHGS 8JMKD3MGPCW/3F3NU5S |
Citing Item List | sid.inpe.br/bibdigital/2013/10.12.22.16 8 sid.inpe.br/bibdigital/2013/09.09.15.05 3 sid.inpe.br/bibdigital/2013/10.18.22.34 2 |
Dissemination | WEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS. |
Host Collection | urlib.net/www/2017/11.22.19.04 |
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6. Notes | |
Empty Fields | alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark month nextedition notes number parameterlist parentrepositories previousedition previouslowerunit progress project readpermission rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url |
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7. Description control | |
e-Mail (login) | simone |
update | |
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