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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21d.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
IdentificadorQABCDSTQQW/46AFGJB
Repositóriourlib.net/www/2022/02.04.15.51
Última Atualização2022:02.04.15.51.53 (UTC) simone
Repositório de Metadadosurlib.net/www/2022/02.04.15.51.53
Última Atualização dos Metadados2022:06.23.12.54.45 (UTC) administrator
DOI10.3390/rs14030704
ISSN2072-4292
Chave de CitaçãoSantosPiOlKöEsAm:2022:IdPrSe
TítuloIdentifying precarious settlements and urban fabric typologies based on GEOBIA and data mining in brazilian Amazon cities
Ano2022
Data de Acesso30 jun. 2022
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho5780 KiB
2. Contextualização
Autor1 Santos, Bruno Dias dos
2 Pinho, Carolina Moutinho Duque de
3 Oliveira, Gilberto Eidi Teramoto
4 Körting, Thales Sehn
5 Escada, Maria Isabel Sobral
6 Amaral, Silvana
Identificador de Curriculo1
2
3
4
5 8JMKD3MGP5W/3C9JHRG
6 8JMKD3MGP5W/3C9JJ8Q
ORCID1 0000-0002-6748-2038
2 0000-0002-7054-4463
3
4 0000-0002-0876-0501
5 0000-0002-5822-8265
Grupo1 SER-SRE-DIPGR-INPE-MCTI-GOV-BR
2
3 SER-SRE-DIPGR-INPE-MCTI-GOV-BR
4 DIOTG-CGCT-INPE-MCTI-GOV-BR
5 DIOTG-CGCT-INPE-MCTI-GOV-BR
6 DIOTG-CGCT-INPE-MCTI-GOV-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Universidade Federal do ABC (UFABC)
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)
Endereço de e-Mail do Autor1 bruno.santos@inpe.br
2
3 gilberto.oliveira@inpe.br
4 thales.korting@inpe.br
5 Isabel.escada@inpe.br
6 silvana.amaral@inpe.br
RevistaRemote Sensing
Volume14
Número3
Páginase704
Nota SecundáriaB3_GEOGRAFIA B3_ENGENHARIAS_I B4_GEOCIÊNCIAS B4_CIÊNCIAS_AMBIENTAIS B5_CIÊNCIAS_AGRÁRIAS_I
Histórico (UTC)2022-02-04 15:51:53 :: simone -> administrator ::
2022-02-04 15:51:54 :: administrator -> simone :: 2022
2022-02-04 15:52:13 :: simone -> administrator :: 2022
2022-06-23 12:54:45 :: administrator -> self-uploading-INPE-MCTI-GOV-BR :: 2022
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-ChaveAmazonian precarious settlements
Amazonian urbanization
GEOBIA
data mining
urban fabric typology
ResumoAlthough 70% of the Amazon population lives in urban areas, studies on the urban Amazon are scarce. Much of the urban Amazon population lives in precarious settlements. The distinctiveness and diversity of Amazonian precarious settlements are vast and must be identified to be considered in the development of appropriate public policies. Aiming at investigating precarious settlements in Amazon, this study is guided by the following questions: For the Brazilian Amazon region, is it possible to identify areas of precarious settlements by combining geoprocessing and remote sensing techniques? Are there different typologies of precarious settlements distinguishable by their spatial arrangements? Thus, we developed a methodology for identifying precarious settlements and subsequently classifying them into urban fabric typologies (UFT), choosing the cities of Altamira, Cametá, and Marabá as study sites. Our classification model utilized geographic objects-based image analysis (GEOBIA) and data mining of spectral data from WPM sensor images from the CBERS-4A satellite, jointly with texture metrics, context metrics, biophysical index, voluntary geographical information, and neighborhood relationships. With the C5.0 decision tree algorithm we carried out variable selection and classification of these geographic objects. Our estimated models show accuracy above 90% when applied to the study sites. Additionally, we described Amazonian UFT in six types to be identified. We concluded that Amazonian precarious settlements are morphologically diverse, with an urban fabric different from those commonly found in Brazilian metropolitan areas. Identifying and characterizing distinct precarious areas is vital for the planning and development of sustainable and effective public policies for the urban Amazon.
AreaSRE
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Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreement
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4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/QABCDSTQQW/46AFGJB
URL dos dados zipadoshttp://urlib.net/zip/QABCDSTQQW/46AFGJB
Idiomaen
Arquivo Alvoremotesensing-14-00704.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
simone
Visibilidadeshown
Política de Arquivamentoallowpublisher allowfinaldraft
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Repositório Espelhosid.inpe.br/mtc-m19/2013/05.22.12.17
Unidades Imediatamente Superiores8JMKD3MGPCW/3F3NU5S
8JMKD3MGPCW/46KUATE
DivulgaçãoWEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS.
Acervo Hospedeirourlib.net/www/2021/06.04.03.40
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark month nextedition notes parameterlist parentrepositories previousedition previouslowerunit progress project readpermission rightsholder secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
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