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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34R/44CQRAB
Repositorysid.inpe.br/mtc-m21c/2021/03.23.22.27
Last Update2021:03.23.22.27.49 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21c/2021/03.23.22.27.49
Metadata Last Update2022:04.03.22.28.23 (UTC) administrator
DOI10.3390/rs13050974
ISSN2072-4292
Citation KeySantosFePiCaZuAu:2021:IdSpPa
TitleIdentifying spatiotemporal patterns in land use and cover samples from satellite image time series
Year2021
MonthMar.
Access Date2024, May 18
Secondary TypePRE PI
Number of Files1
Size12818 KiB
2. Context
Author1 Santos, Lorena Alves dos
2 Ferreira, Karine Reis
3 Picoli, Michelle Cristina Araújo
4 Camara, Gilberto
5 Zurita-Milla, Raul
6 Augustijn, Ellen-Wien
Resume Identifier1
2 8JMKD3MGP5W/3C9JHKN
3
4 8JMKD3MGP5W/3C9JHB8
ORCID1 0000-0003-2612-5859
2 0000-0003-2656-5504
3 0000-0001-9855-2046
4 0000-0002-3681-487X
5 0000-0002-1769-6310
Group1 DIOTG-CGCT-INPE-MCTI-GOV-BR
2 DIOTG-CGCT-INPE-MCTI-GOV-BR
3 DIOTG-CGCT-INPE-MCTI-GOV-BR
4 DIOTG-CGCT-INPE-MCTI-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 University of Twente
6 University of Twente
Author e-Mail Address1 lorena.santos@inpe.br
2 karine.ferreira@inpe.br
3 michelle.picoli@inpe.br
4 gilberto.camara@inpe.br
5 r.zurita-milla@utwente.nl
6 p.w.m.augustijn@utwente.nl
JournalRemote Sensing
Volume13
Number5
Pagese974
Secondary MarkB3_GEOGRAFIA B3_ENGENHARIAS_I B4_GEOCIÊNCIAS B4_CIÊNCIAS_AMBIENTAIS B5_CIÊNCIAS_AGRÁRIAS_I
History (UTC)2021-03-23 22:27:49 :: simone -> administrator ::
2021-03-23 22:27:51 :: administrator -> simone :: 2021
2021-03-23 22:28:40 :: simone -> administrator :: 2021
2021-06-22 19:11:15 :: administrator -> simone :: 2021
2021-06-23 13:10:28 :: simone -> administrator :: 2021
2022-04-03 22:28:23 :: administrator -> simone :: 2021
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
Keywordsdata training
time series
clustering
spatiotemporal patterns
AbstractThe use of satellite image time series analysis and machine learning methods brings new opportunities and challenges for land use and cover changes (LUCC) mapping over large areas. One of these challenges is the need for samples that properly represent the high variability of land used and cover classes over large areas to train supervised machine learning methods and to produce accurate LUCC maps. This paper addresses this challenge and presents a method to identify spatiotemporal patterns in land use and cover samples to infer subclasses through the phenological and spectral information provided by satellite image time series. The proposed method uses self-organizing maps (SOMs) to reduce the data dimensionality creating primary clusters. From these primary clusters, it uses hierarchical clustering to create subclusters that recognize intra-class variability intrinsic to different regions and periods, mainly in large areas and multiple years. To show how the method works, we use MODIS image time series associated to samples of cropland and pasture classes over the Cerrado biome in Brazil. The results prove that the proposed method is suitable for identifying spatiotemporal patterns in land use and cover samples that can be used to infer subclasses, mainly for crop-types.
AreaSRE
Arrangementurlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > Identifying spatiotemporal patterns...
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGP3W34R/44CQRAB
zipped data URLhttp://urlib.net/zip/8JMKD3MGP3W34R/44CQRAB
Languageen
Target Filesantos_identifying.pdf
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Archiving Policyallowpublisher allowfinaldraft
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/46KUATE
Citing Item List
DisseminationWEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS.
Host Collectionurlib.net/www/2017/11.22.19.04
6. Notes
Empty Fieldsalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes parameterlist parentrepositories previousedition previouslowerunit progress project readpermission rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype typeofwork url
7. Description control
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