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1. Identity statement
Reference TypeJournal Article
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Siteplutao.sid.inpe.br (namespace prefix: upn:33M4QT8)
Identifier8JMKD3MGP3W/43NH4AA
Repositorysid.inpe.br/plutao/2020/12.07.14.20.32   (restricted access)
Last Update2020:12.08.17.48.55 (UTC) simone
Metadata Repositorysid.inpe.br/plutao/2020/12.07.14.20.33
Metadata Last Update2024:01.23.16.19.34 (UTC) simone
DOI10.5194/isprs-annals-V-3-2020-533-2020
ISSN0924-2716
Labellattes: 3441488230835922 2 PicoliSCSSSSFQ:2020:POTEMA
Citation KeyPicoliSCSSSSFQ:2020:PoTeMa
TitleCBERS data cube: a powerful technology for mapping and monitoring brazilian biomes
Year2020
Access Date2026, Oct. 27
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size8382 KiB
2. Context
Author1 Picoli, Michelle Cristina Araújo
2 Simões, Rolf Ezequiel de Oliveira
3 Chaves, Michel Eustáquio Dantas
4 Santos, Lorena Alves dos
5 Sanchez Ipia, Alber Hamersson
6 Soares, Anderson Reis
7 Sanches, Ieda Del'Arco
8 Ferreira, Karine Reis
9 Queiroz, Gilberto Ribeiro
Resume Identifier1
2
3
4
5
6
7
8 8JMKD3MGP5W/3C9JHKN
Group1 SER-SRE-SESPG-INPE-MCTIC-GOV-BR
2 SER-SRE-SESPG-INPE-MCTIC-GOV-BR
3 SER-SRE-SESPG-INPE-MCTIC-GOV-BR
4 SER-SRE-SESPG-INPE-MCTIC-GOV-BR
5 COCST-COCST-INPE-MCTIC-GOV-BR
6 SER-SRE-SESPG-INPE-MCTIC-GOV-BR
7 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
8 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
9 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
Affiliation1 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)
Author e-Mail Address1 michelle.picoli@inpe.br
2 rolf.simoes@inpe.br
3 michel.chaves@inpe.br
4 lorena.santos@inpe.br
5 alber.ipia@inpe.br
6 anderson.soares@inpe.br
7 ieda.sanches@inpe.br
8 karine.ferreira@inpe.br
9 gilberto.queiroz@inpe.br
JournalISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Volume3
Pages533-539
Secondary MarkA1_GEOCIÊNCIAS A2_INTERDISCIPLINAR A2_CIÊNCIAS_AMBIENTAIS B1_ENGENHARIAS_IV B1_BIODIVERSIDADE C_CIÊNCIAS_AGRÁRIAS_I
Host Collectiondpi.inpe.br/plutao@80/2008/08.19.15.01 upn:33M4QT8
History (UTC)2020-12-08 17:48:55 :: lattes -> administrator :: 2020
2020-12-10 11:33:41 :: administrator -> lattes :: 2020
2020-12-14 14:31:59 :: lattes -> administrator :: 2020
2022-01-04 01:31:20 :: administrator -> simone :: 2020
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsAnalysis Ready Data
Earth observations
information extraction
LULC classification
time series
Random Forest
AbstractCurrently, the overwhelming amount of Earth Observation data demands new solutions regarding processing and storage. To reduce the amount of time spent in searching, downloading and pre-processing data, the remote Sensing community is coming to an agreement on the minimum amount of corrections satellite images must convey in order to reach the broadest range of applications. Satellite imagery meeting such criteria (which usually include atmospheric, radiometric and topographic corrections) are generically called Analysis Ready Data (ARD). Furthermore, ARD is being assembled into multidimensional data cubes, minimising preprocessing tasks and allowing scientists and users in general to focus on analysis. A particular instance of this is the Brazil Data Cube (BDC) project, which is processing remote sensing images of medium spatial resolution into ARD datasets and assembling them as multidimensional cubes of the Brazilian territory. For example, BDC users are released from performing tasks such as image co-registration , aerosol interference correction. This work presents a BDC proof of concept, by analysing a BDC data cube made with images from the fourth China-Brazil Earth Resources Satellite (CBERS-4) of one of the largest biodiversity hotspot in the world, the Cerrado biome. It also shows how to map and monitor land use and land cover using the CBERS data cube. We demonstrate that the CBERS data cube is effective in resolving land use and and land cover issues to meet local and national needs related to the landscape dynamics, including deforestation, carbon emissions, and public policies.
AreaSRE
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
Languageen
Target Filepicoli_cbers.pdf
User Groupsimone
Reader Groupadministrator
lattes
simone
Visibilityshown
Archiving Policydenypublisher denyfinaldraft24
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3ER446E
8JMKD3MGPCW/3F3NU5S
8JMKD3MGPCW/3F3T29H
Citing Item Listsid.inpe.br/bibdigital/2013/10.19.20.40 - 114
sid.inpe.br/bibdigital/2013/10.18.22.34 - 100
sid.inpe.br/bibdigital/2013/09.13.21.11 - 14
sid.inpe.br/mtc-m21/2012/07.13.14.53.08 - 9
DisseminationWEBSCI; PORTALCAPES; COMPENDEX; SCOPUS.
6. Notes
NotesPrêmio CAPES Elsevier 2023 - ODS 15: Vida terrestre
Empty Fieldsalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn lineage mark mirrorrepository month nextedition number orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
7. Description control
e-Mail (login)simone
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