1. Identity statement | |
Reference Type | Journal Article |
Site | mtc-m21c.sid.inpe.br |
Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identifier | 8JMKD3MGP3W34R/44CQRAB |
Repository | sid.inpe.br/mtc-m21c/2021/03.23.22.27 |
Last Update | 2021:03.23.22.27.49 (UTC) simone |
Metadata Repository | sid.inpe.br/mtc-m21c/2021/03.23.22.27.49 |
Metadata Last Update | 2022:04.03.22.28.23 (UTC) administrator |
DOI | 10.3390/rs13050974 |
ISSN | 2072-4292 |
Citation Key | SantosFePiCaZuAu:2021:IdSpPa |
Title | Identifying spatiotemporal patterns in land use and cover samples from satellite image time series |
Year | 2021 |
Month | Mar. |
Access Date | 2024, May 19 |
Secondary Type | PRE PI |
Number of Files | 1 |
Size | 12818 KiB |
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2. Context | |
Author | 1 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 Identifier | 1 2 8JMKD3MGP5W/3C9JHKN 3 4 8JMKD3MGP5W/3C9JHB8 |
ORCID | 1 0000-0003-2612-5859 2 0000-0003-2656-5504 3 0000-0001-9855-2046 4 0000-0002-3681-487X 5 0000-0002-1769-6310 |
Group | 1 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 |
Affiliation | 1 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 Address | 1 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 |
Journal | Remote Sensing |
Volume | 13 |
Number | 5 |
Pages | e974 |
Secondary Mark | B3_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 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Content Type | External Contribution |
Version Type | publisher |
Keywords | data training time series clustering spatiotemporal patterns |
Abstract | The 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. |
Area | SRE |
Arrangement | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > Identifying spatiotemporal patterns... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | |
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4. Conditions of access and use | |
data URL | http://mtc-m21c.sid.inpe.br/ibi/8JMKD3MGP3W34R/44CQRAB |
zipped data URL | http://mtc-m21c.sid.inpe.br/zip/8JMKD3MGP3W34R/44CQRAB |
Language | en |
Target File | santos_identifying.pdf |
User Group | simone |
Reader Group | administrator simone |
Visibility | shown |
Archiving Policy | allowpublisher allowfinaldraft |
Update Permission | not transferred |
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5. Allied materials | |
Next Higher Units | 8JMKD3MGPCW/46KUATE |
Citing Item List | |
Dissemination | WEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS. |
Host Collection | urlib.net/www/2017/11.22.19.04 |
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6. Notes | |
Empty Fields | alternatejournal 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 |
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7. Description control | |
e-Mail (login) | simone |
update | |
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