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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21d.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34T/49FEQUS
Repositorysid.inpe.br/mtc-m21d/2023/07.18.11.37
Last Update2023:07.18.11.37.11 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21d/2023/07.18.11.37.11
Metadata Last Update2024:01.02.17.16.44 (UTC) administrator
DOI10.3390/rs15123102
ISSN2072-4292
Citation KeySantosPinhPáezAmar:2023:IdUrSo
TitleIdentifying Urban and Socio-Environmental Patterns of Brazilian Amazonian Cities by Remote Sensing and Machine Learning
Year2023
MonthJune
Access Date2024, June 16
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size23338 KiB
2. Context
Author1 Santos, Bruno Dias dos
2 Pinho, Carolina Moutinho Duque de
3 Páez, Antonio
4 Amaral, Silvana
Resume Identifier1
2
3
4 8JMKD3MGP5W/3C9JJ8Q
ORCID1 0000-0002-6748-2038
2 0000-0002-7054-4463
3 0000-0001-6912-9919
4 0000-0003-4314-7291
Group1 SER-SRE-DIPGR-INPE-MCTI-GOV-BR
2
3
4 DIOTG-CGCT-INPE-MCTI-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Universidade Federal do ABC (UFABC)
3 McMaster University
4 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 bruno.santos@inpe.br
2 carolina.pinho@ufabc.edu.br
3 paezha@mcmaster.ca
4 silvana.amaral@inpe.br
JournalRemote Sensing
Volume15
Number12
Pagese3102
Secondary MarkB3_GEOGRAFIA B3_ENGENHARIAS_I B4_GEOCIÊNCIAS B4_CIÊNCIAS_AMBIENTAIS B5_CIÊNCIAS_AGRÁRIAS_I
History (UTC)2023-07-18 11:37:11 :: simone -> administrator ::
2023-07-18 11:37:11 :: administrator -> simone :: 2023
2023-07-18 11:37:40 :: simone -> administrator :: 2023
2024-01-02 17:16:44 :: administrator -> simone :: 2023
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
Keywordsamazon
unsupervised classification
urban morphology
urban pattern
urban remote sensing
AbstractIdentifying urban patterns in the cities in the Brazilian Amazon can help to understand the impact of human actions on the environment, to protect local cultures, and secure the cultural heritage of the region. The objective of this study is to produce a classification of intra-urban patterns in Amazonian cities. Concretely, we produce a set of Urban and Socio-Environmental Patterns (USEPs) in the cities of Santarém and Cametá in Pará, Brazilian Amazon. The contributions of this study are as follows: (1) we use a reproducible research framework based on remote sensing data and machine learning techniques; (2) we integrate spatial data from various sources into a cellular grid, separating the variables into environmental, urban morphological, and socioeconomic dimensions; (3) we generate variables specific to the Amazonian context; and (4) we validate these variables by means of a field visit to Cametá and comparison with patterns described in other works. Machine learning-based clustering is useful to identify seven urban patterns in Santarém and eight urban patterns in Cametá. The urban patterns are semantically explainable and are consistent with the existing scientific literature. The paper provides reproducible and open research that uses only open software and publicly available data sources, making the data product and code available for modification and further contributions to spatial data science analysis.
AreaSRE
Arrangement 1urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Identifying Urban and...
Arrangement 2urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > Identifying Urban and...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGP3W34T/49FEQUS
zipped data URLhttp://urlib.net/zip/8JMKD3MGP3W34T/49FEQUS
Languageen
Target Fileremotesensing-15-03102.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 7
sid.inpe.br/bibdigital/2022/04.03.22.23 6
DisseminationWEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS.
Host Collectionurlib.net/www/2021/06.04.03.40
6. Notes
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7. Description control
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