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dc.date.accessioned2024-03-01T18:22:53Z
dc.date.available2024-03-01T18:22:53Z
dc.date.created2023-06-28T12:22:09Z
dc.date.issued2023
dc.identifier.citationWittke, Samantha Fouilloux, Anne Lehti, Petteri Varho, Juuso Kivimäki, Arttu Karhu, Maiju Karjalainen, Mika Vaaja, Matti Puttonen, Eetu . EODIE — Earth Observation Data Information Extractor. SoftwareX. 2023, 23
dc.identifier.urihttp://hdl.handle.net/10852/108882
dc.description.abstractRemote sensing satellites provide a vast amount of data to monitor and observe Earth’s surface and events on it. To use these data efficiently in subsequent analysis and decision-making, highly automated easy-to-use tools are needed. Here, we present Earth Observation Data Information Extractor (EODIE). EODIE is a toolkit to extract object-level time-series information from several multispectral satellite remote sensing platforms and to produce analysis-ready products for subsequent data analysis. EODIE has a modular design that makes it adjustable for end-user requirements. Users have a possibility to exchange and add modules in EODIE for flexible processing in different computing environments. With EODIE, remote sensing data can be processed to object level array, geotiff or statistics information of different (vegetation) indices or plain wavelength intervals.
dc.languageEN
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleEODIE — Earth Observation Data Information Extractor
dc.title.alternativeENEngelskEnglishEODIE — Earth Observation Data Information Extractor
dc.typeJournal article
dc.creator.authorWittke, Samantha
dc.creator.authorFouilloux, Anne
dc.creator.authorLehti, Petteri
dc.creator.authorVarho, Juuso
dc.creator.authorKivimäki, Arttu
dc.creator.authorKarhu, Maiju
dc.creator.authorKarjalainen, Mika
dc.creator.authorVaaja, Matti
dc.creator.authorPuttonen, Eetu
cristin.unitcode185,15,22,0
cristin.unitnameInstitutt for geofag
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.cristin2159081
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=SoftwareX&rft.volume=23&rft.spage=&rft.date=2023
dc.identifier.jtitleSoftwareX
dc.identifier.volume23
dc.identifier.pagecount9
dc.identifier.doihttps://doi.org/10.1016/j.softx.2023.101421
dc.type.documentTidsskriftartikkel
dc.type.peerreviewedPeer reviewed
dc.source.issn2352-7110
dc.type.versionPublishedVersion
cristin.articleid101421


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Attribution 4.0 International
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