• Adrijana Car – Thomas Jekel – Josef Strobl – Gerald Griesebner (Eds.)

GI_Forum 2018, Volume 6, Issue 1

Journal for Geographic Information Science

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Verlag der Österreichischen Akademie der Wissenschaften
Austrian Academy of Sciences Press
A-1011 Wien, Dr. Ignaz Seipel-Platz 2
Tel. +43-1-515 81/DW 3420, Fax +43-1-515 81/DW 3400
https://verlag.oeaw.ac.at, e-mail: verlag@oeaw.ac.at

GI_Forum publishes high quality original research across the transdisciplinary field of Geographic Information Science (GIScience). The journal provides a platform for dialogue among GI-Scientists and educators, technologists and critical thinkers in an ongoing effort to advance the field and ultimately contribute to the creation of an informed GISociety. Submissions concentrate on innovation in education, science, methodology and technologies in the spatial domain and their role towards a more just, ethical and sustainable science and society. GI_Forum implements the policy of open access publication after a double-blind peer review process through a highly international team of seasoned scientists for quality assurance. Special emphasis is put on actively supporting young scientists through formative reviews of their submissions. Only English language contributions are published.

Starting 2016, GI_Forum publishes two issues a Year.
Joumal Information is available at: GI-Forum
GI_Forum is listed on the Directory of Open Access Journals (DOAJ)

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GI_Forum 2018, Volume 6, Issue 1

ISSN 2308-1708
Online Edition

ISBN 978-3-7001-8359-4
Online Edition



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Verlag der Österreichischen Akademie der Wissenschaften
Austrian Academy of Sciences Press
A-1011 Wien, Dr. Ignaz Seipel-Platz 2,
Tel. +43-1-515 81/DW 3420, Fax +43-1-515 81/DW 3400
https://verlag.oeaw.ac.at, e-mail: bestellung.verlag@oeaw.ac.at
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Big Earth Data: From Data to Information

    Martin Sudmanns, Stefan Lang, Dirk Tiede

GI_Forum 2018, Volume 6, Issue 1, pp. 184-193, 2018/06/22

Journal for Geographic Information Science

doi: 10.1553/giscience2018_01_s184

doi: 10.1553/giscience2018_01_s184


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doi:10.1553/giscience2018_01_s184



doi:10.1553/giscience2018_01_s184

Abstract

While we still lack a community-agreed definition of ‘big Earth data’, there is clear evidence that the data’s unprecedented volume, variety and velocity, as well as veracity, require changes to traditional ways of storing and analysing Earth observation (EO) data and sharing their value with the public. Alongside the challenges, opportunities also arise when continental or global-scale analyses become readily feasible, or when time series / time lapse analyses provide unprecedented insights. This contribution presents a broad overview of current trends, limitations and opportunities for an increased use of larger volumes of EO data, while having in mind that the main objective is to use big Earth data to foster the fifth ‘V’, namely value. The data become valuable if they can be transformed into information which matches specific contexts. The overview on big Earth data is complemented by specific implementations and use cases.

Keywords: data cube, multi-temporal analytics, Sentinel, Copernicus, earth observation

Published Online: 2018/06/22 10:15:00

Object Identifier: 0xc1aa5572 0x00390cd8

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Rights: https://creativecommons.org/licenses/by-nd/4.0/