<div class="csl-bib-body">
<div class="csl-entry">Briese, C., Wagner, W., Boresch, A., Federspiel, C., Aspetsberger, M., Hasenauer, S., Mücke, W., Hoffmann, C., & Wotawa, G. (2013). Challenges in the Exploitation of Big Earth Observation Data. In P. G. Marchetti & P. Soille (Eds.), <i>Proceedings of the 2014 conference on Big Data from Space (BiDS ’14)</i> (pp. 50–53). Publications Office of the European Union. https://doi.org/10.2788/1823</div>
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dc.identifier.isbn
978-92-79-43252-1
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/43362
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dc.description.abstract
The latest generation of earth observation (EO) sensors generates huge amounts of data, which leads to new challenges in the processing and archiving of big EO data. Currently, powerful and mature cloud services for big EO data exploitation are rarely available. Therefore, one solution in order to tackle the big EO data challenge is to bring together the specific competences, resources and skills of the individual organisations. This contribution presents a public/private initiative, the EODC Earth Observation Data Centre for Water Resources Monitoring GmbH (EODC) that focuses on such a cooperation model in order to foster the research and use of big EO data. After a short introduction into the general ideas of the EODC and its cooperation network, the paper presents (i) the concept of the collaborative/federated EODC cloud connecting several data centres throughout Europe and (ii) the first services that are currently being established.
en
dc.language.iso
en
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dc.publisher
Publications Office of the European Union
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dc.subject
Processing
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dc.subject
Cooperation
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dc.subject
Archiving
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dc.subject
Organisation
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dc.subject
Big data
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dc.title
Challenges in the Exploitation of Big Earth Observation Data
en
dc.type
Konferenzbeitrag
de
dc.type
Inproceedings
en
dc.relation.publication
Proceedings of the 2014 conference on Big Data from Space (BiDS '14)
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dc.relation.isbn
978-92-79-43252-1
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dc.relation.doi
10.2788/1823
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dc.relation.issn
1831-9424
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dc.description.startpage
50
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dc.description.endpage
53
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dc.type.category
Full-Paper Contribution
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dc.publisher.place
Luxembourg
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tuw.booktitle
Proceedings of the 2014 conference on Big Data from Space (BiDS '14)