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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34R/42S9RE8
Repositorysid.inpe.br/mtc-m21c/2020/07.17.11.34   (restricted access)
Last Update2020:07.17.11.34.11 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21c/2020/07.17.11.34.11
Metadata Last Update2022:01.04.01.35.15 (UTC) administrator
DOI10.5311/JOSIS.2020.20.645
ISSN1948-660X
Citation KeyCâmara:2020:SeBiEa
TitleOn the semantics of big Earth observation data for land classification
Year2020
Access Date2024, Mar. 28
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size925 KiB
2. Context
AuthorCâmara, Gilberto
Resume Identifier8JMKD3MGP5W/3C9JHB8
GroupDIDPI-CGOBT-INPE-MCTIC-GOV-BR
AffiliationInstituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Addressgilberto.camara@inpe.br
JournalJournal of Spatial Information Science
Volume20
Pages21-34
History (UTC)2020-07-17 11:34:25 :: simone -> administrator :: 2020
2022-01-04 01:35:15 :: administrator -> simone :: 2020
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
Keywordsbig data
Earth observation
geospatial semantics
LUCC
land-use change
AbstractThis paper discusses the challenges of using big Earth observation data for land classification. The approach taken is to consider pure data-driven methods to be insufficient to represent continuous change. I argue for sound theories when working with big data. After revising existing classification schemes such as FAO's Land Cover Classification System (LCCS), I conclude that LCCS and similar proposals cannot capture the complexity of landscape dynamics. I then investigate concepts that are being used for analyzing satellite image time series; I show these concepts to be instances of events. Therefore, for continuous monitoring of land change, event recognition needs to replace object identification as the prevailing paradigm. The paper concludes by showing how event semantics can improve data-driven methods to fulfil the potential of big data.
AreaSRE
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > On the semantics...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
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4. Conditions of access and use
Languageen
Target Filecamara_semantics.pdf
User Groupsimone
Reader Groupadministrator
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Visibilityshown
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3EQCCU5
Citing Item Listsid.inpe.br/bibdigital/2013/09.09.15.05 1
DisseminationWEBSCI; PORTALCAPES; SCOPUS.
Host Collectionurlib.net/www/2017/11.22.19.04
6. Notes
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