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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Siteplutao.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W/3TEP95J
Repositorysid.inpe.br/plutao/2019/06.10.13.43.19
Last Update2019:06.13.13.26.03 (UTC) lattes
Metadata Repositorysid.inpe.br/plutao/2019/06.10.13.43.20
Metadata Last Update2020:01.06.11.35.22 (UTC) administrator
DOI10.1007/978-3-030-19642-4_7
ISBN978-3-030-19642-4
Labellattes: 1866854311363027 1 SantosFerrCama:2019:SeMaEa
Citation KeySantosFerrPicoCama:2019:SeMaEa
TitleSelf-organizing maps in earth observation data cubes analysis
FormatDVD
Year2019
Access Date2024, Apr. 20
Secondary TypePRE CI
Number of Files1
Size1671 KiB
2. Context
Author1 Santos, Lorena Alves dos
2 Ferreira, Karine Reis
3 Picoli, Michelle Cristina Araújo
4 Camara, Gilberto
Resume Identifier1
2 8JMKD3MGP5W/3C9JHKN
3
4 8JMKD3MGP5W/3C9JHB8
Group1 CAP-COMP-SESPG-INPE-MCTIC-GOV-BR
2 DIDPI-CGOBT-INPE-MCTIC-GOV-BR
3 DIDPI-CGOBT-INPE-MCTIC-GOV-BR
4 DIDPI-CGOBT-INPE-MCTIC-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)
Author e-Mail Address1 lorena.santos@inpe.br
2 karine.ferreira@inpe.br
3 michelle.picoli@inpe.br
4 gilberto.camara@inpe.br
Conference NameInternational Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization, 13
Conference LocationBarcelona, Spain
Date26-28 jun
PublisherSpringer
Book TitleProceedings
Tertiary TypePaper
History (UTC)2019-06-10 13:43:20 :: lattes -> administrator ::
2019-06-12 02:30:27 :: administrator -> lattes :: 2019
2019-06-13 13:26:05 :: lattes -> administrator :: 2019
2019-06-14 10:42:20 :: administrator -> lattes :: 2019
2019-06-18 17:21:25 :: lattes -> administrator :: 2019
2020-01-06 11:35:22 :: administrator -> simone :: 2019
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsTime series
Self-organizing maps
AbstractEarth Observation (EO) Data Cubes infrastructures model analysis-ready data generated from remote sensing images as multidimensional cubes (space, time and properties), especially for satellite image time series analysis. These infrastructures take advantage of big data technologies and methods to store, process and analyze the big amount of Earth observation satellite images freely available nowadays. Recently, EO Data Cubes infrastructures and satellite image time series analysis have brought new opportunities and challenges for the Land Use and Cover Change (LUCC) monitoring over large areas. LUCC have caused a great impact on tropical ecosystems, increasing global greenhouse gases emissions and reducing the planets biodiversity. This paper presents the utility of Self-Organizing Maps (SOM) neural network method in the process to extract LUCC information from EO Data Cubes infrastructures, using image time series analysis. Most classification techniques to create LUCC maps from satellite image time series are based on supervised learning methods. In this context, SOM is used as a method to assess land use and cover samples and to evaluate which spectral bands and vegetation indexes are best suitable for the separability of land use and cover classes. A case study is described in this work and shows the potential of SOM in this application.
AreaCOMP
Arrangement 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Self-organizing maps in...
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doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGP3W/3TEP95J
zipped data URLhttp://urlib.net/zip/8JMKD3MGP3W/3TEP95J
Languageen
Target File10.1007@978-3-030-19642-47.pdf
User Grouplattes
Reader Groupadministrator
lattes
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3EQCCU5
8JMKD3MGPCW/3F2PHGS
Citing Item Listsid.inpe.br/bibdigital/2013/09.09.15.05 1
Host Collectiondpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notes
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7. Description control
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