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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21d.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
IdentifierQABCDSTQQW/46AFGJB
Repositoryurlib.net/www/2022/02.04.15.51
Last Update2022:02.04.15.51.53 (UTC) simone
Metadata Repositoryurlib.net/www/2022/02.04.15.51.53
Metadata Last Update2023:01.03.16.46.29 (UTC) administrator
DOI10.3390/rs14030704
ISSN2072-4292
Citation KeySantosPiOlKöEsAm:2022:IdPrSe
TitleIdentifying precarious settlements and urban fabric typologies based on GEOBIA and data mining in brazilian Amazon cities
Year2022
Access Date2024, June 26
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size5780 KiB
2. Context
Author1 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
Resume Identifier1
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
Group1 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
Affiliation1 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)
Author e-Mail Address1 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
JournalRemote Sensing
Volume14
Number3
Pagese704
Secondary MarkB3_GEOGRAFIA B3_ENGENHARIAS_I B4_GEOCIÊNCIAS B4_CIÊNCIAS_AMBIENTAIS B5_CIÊNCIAS_AGRÁRIAS_I
History (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
2023-01-03 16:46:29 :: administrator -> simone :: 2022
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsAmazonian precarious settlements
Amazonian urbanization
GEOBIA
data mining
urban fabric typology
AbstractAlthough 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.
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Arrangement 2urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > Identifying precarious settlements...
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4. Conditions of access and use
data URLhttp://mtc-m21d.sid.inpe.br/ibi/QABCDSTQQW/46AFGJB
zipped data URLhttp://mtc-m21d.sid.inpe.br/zip/QABCDSTQQW/46AFGJB
Languageen
Target Fileremotesensing-14-00704.pdf
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Archiving Policyallowpublisher allowfinaldraft
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3F3NU5S
8JMKD3MGPCW/46KUATE
Citing Item Listsid.inpe.br/bibdigital/2013/10.18.22.34 4
sid.inpe.br/bibdigital/2022/04.03.22.23 2
sid.inpe.br/mtc-m21/2012/07.13.15.00.22 2
DisseminationWEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS.
Host Collectionurlib.net/www/2021/06.04.03.40
6. Notes
Empty Fieldsalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository month nextedition notes parameterlist parentrepositories previousedition previouslowerunit progress project readpermission rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
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