Data for: Automatic Detection of Deprived Urban Areas Using Google Earth™ Images of Cities from the Brazilian Semi-arid Region

Detalhes bibliográficos
Autor(a) principal: PEREIRA, EANES
Data de Publicação: 2023
Outros Autores: BARROS FILHO, MAURO, SIMOES, MATHEUS, BEZERRA NETO, JOSÉ AUGUSTO
Tipo de documento: Conjunto de dados
Título da fonte: SciELO Data
Texto Completo: https://doi.org/10.48331/scielodata.MAEYDV
Resumo: The work used a code and geographical files duly made available
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spelling https://doi.org/10.48331/scielodata.MAEYDVPEREIRA, EANESBARROS FILHO, MAUROSIMOES, MATHEUSBEZERRA NETO, JOSÉ AUGUSTOData for: Automatic Detection of Deprived Urban Areas Using Google Earth™ Images of Cities from the Brazilian Semi-arid RegionSciELO DataThe work used a code and geographical files duly made available2023-03-05info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0Computer and Information ScienceSocial Sciencesinfo:eu-repo/semantics/datasetinfo:eu-repo/semantics/datasetinfo:eu-repo/semantics/publishedVersionDatasetreponame:SciELO Datainstname:Scientific Electronic Library Online (SCIELO)instacron:SCIRepositório de Dados de PesquisaONGhttps://data.scielo.org/oai/requestdata@scielo.orgopendoar:2024-04-11T06:11:30SciELO Data - Scientific Electronic Library Online (SCIELO)falsedoi:10.48331/scielodata.MAEYDV
dc.title.none.fl_str_mv Data for: Automatic Detection of Deprived Urban Areas Using Google Earth™ Images of Cities from the Brazilian Semi-arid Region
title Data for: Automatic Detection of Deprived Urban Areas Using Google Earth™ Images of Cities from the Brazilian Semi-arid Region
spellingShingle Data for: Automatic Detection of Deprived Urban Areas Using Google Earth™ Images of Cities from the Brazilian Semi-arid Region
PEREIRA, EANES
Computer and Information Science
Social Sciences
title_short Data for: Automatic Detection of Deprived Urban Areas Using Google Earth™ Images of Cities from the Brazilian Semi-arid Region
title_full Data for: Automatic Detection of Deprived Urban Areas Using Google Earth™ Images of Cities from the Brazilian Semi-arid Region
title_fullStr Data for: Automatic Detection of Deprived Urban Areas Using Google Earth™ Images of Cities from the Brazilian Semi-arid Region
title_full_unstemmed Data for: Automatic Detection of Deprived Urban Areas Using Google Earth™ Images of Cities from the Brazilian Semi-arid Region
title_sort Data for: Automatic Detection of Deprived Urban Areas Using Google Earth™ Images of Cities from the Brazilian Semi-arid Region
author PEREIRA, EANES
author_facet PEREIRA, EANES
BARROS FILHO, MAURO
SIMOES, MATHEUS
BEZERRA NETO, JOSÉ AUGUSTO
author_role author
author2 BARROS FILHO, MAURO
SIMOES, MATHEUS
BEZERRA NETO, JOSÉ AUGUSTO
author2_role author
author
author
dc.contributor.author.fl_str_mv PEREIRA, EANES
BARROS FILHO, MAURO
SIMOES, MATHEUS
BEZERRA NETO, JOSÉ AUGUSTO
dc.subject.none.fl_str_mv Computer and Information Science
Social Sciences
topic Computer and Information Science
Social Sciences
description The work used a code and geographical files duly made available
publishDate 2023
dc.date.issued.fl_str_mv 2023-03-05
dc.type.openaire.fl_str_mv info:eu-repo/semantics/dataset
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.none.fl_str_mv info:eu-repo/semantics/dataset
format dataset
status_str publishedVersion
dc.identifier.url.fl_str_mv https://doi.org/10.48331/scielodata.MAEYDV
url https://doi.org/10.48331/scielodata.MAEYDV
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0
dc.format.none.fl_str_mv Dataset
dc.publisher.none.fl_str_mv SciELO Data
publisher.none.fl_str_mv SciELO Data
dc.source.none.fl_str_mv reponame:SciELO Data
instname:Scientific Electronic Library Online (SCIELO)
instacron:SCI
instname_str Scientific Electronic Library Online (SCIELO)
instacron_str SCI
institution SCI
reponame_str SciELO Data
collection SciELO Data
repository.name.fl_str_mv SciELO Data - Scientific Electronic Library Online (SCIELO)
repository.mail.fl_str_mv data@scielo.org
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