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Paving the Way to Increased Interoperability of Earth Observations Data Cubes

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  • Gregory Giuliani

    (Institute for Environmental Sciences, University of Geneva, enviroSPACE, Bd Carl-Vogt 66, CH-1205 Geneva, Switzerland
    Institute for Environmental Sciences, University of Geneva, GRID-Geneva, Bd Carl-Vogt 66, CH-1211 Geneva, Switzerland)

  • Joan Masó

    (Center for Ecological Research and Forestry Applications (CREAF), Universitat Autònoma de Barcelona (UAB), 08193 Bellaterra, Barcelona, Spain)

  • Paolo Mazzetti

    (National Research Council of Italy (CNR)—Institute of Atmospheric Pollution Research, Via Madonna del Piano 10, 50019 Sesto Fiorentino, Italy)

  • Stefano Nativi

    (European Commission Joint Research Center (JRC), Via E. Fermi, 2749, 21027 Ispra, Italy)

  • Alaitz Zabala

    (Geography Department, Universitat Autònoma de Barcelona (UAB), 08193 Bellaterra, Barcelona, Spain)

Abstract

Earth observations data cubes (EODCs) are a paradigm transforming the way users interact with large spatio-temporal Earth observation (EO) data. It enhances connections between data, applications and users facilitating management, access and use of analysis ready data (ARD). The ambition is allowing users to harness big EO data at a minimum cost and effort. This significant interest is illustrated by various implementations that exist. The novelty of the approach results in different innovative solutions and the lack of commonly agreed definition of EODC. Consequently, their interoperability has been recognized as a major challenge for the global change and Earth system science domains. The objective of this paper is preventing EODC from becoming silos of information; to present how interoperability can be enabled using widely-adopted geospatial standards; and to contribute to the debate of enhanced interoperability of EODC. We demonstrate how standards can be used, profiled and enriched to pave the way to increased interoperability of EODC and can help delivering and leveraging the power of EO data building, efficient discovery, access and processing services.

Suggested Citation

  • Gregory Giuliani & Joan Masó & Paolo Mazzetti & Stefano Nativi & Alaitz Zabala, 2019. "Paving the Way to Increased Interoperability of Earth Observations Data Cubes," Data, MDPI, vol. 4(3), pages 1-23, July.
    • Handle: RePEc:gam:jdataj:v:4:y:2019:i:3:p:113-:d:252911
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    References listed on IDEAS

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    1. Andrew K. Skidmore & Nathalie Pettorelli & Nicholas C. Coops & Gary N. Geller & Matthew Hansen & Richard Lucas & Caspar A. Mücher & Brian O'Connor & Marc Paganini & Henrique Miguel Pereira & Michael E, 2015. "Environmental science: Agree on biodiversity metrics to track from space," Nature, Nature, vol. 523(7561), pages 403-405, July.
    2. Joan Maso & Alaitz Zabala & Ivette Serral & Xavier Pons, 2019. "A Portal Offering Standard Visualization and Analysis on top of an Open Data Cube for Sub-National Regions: The Catalan Data Cube Example," Data, MDPI, vol. 4(3), pages 1-17, July.
    3. Anthony Lehmann & Rebecca Chaplin-Kramer & Martin Lacayo & Grégory Giuliani & David Thau & Kevin Koy & Grace Goldberg & Richard Sharp Jr., 2017. "Lifting the Information Barriers to Address Sustainability Challenges with Data from Physical Geography and Earth Observation," Sustainability, MDPI, vol. 9(5), pages 1-15, May.
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    Cited by:

    1. Gregory Giuliani & Gilberto Camara & Brian Killough & Stuart Minchin, 2019. "Earth Observation Open Science: Enhancing Reproducible Science Using Data Cubes," Data, MDPI, vol. 4(4), pages 1-6, November.
    2. Gregory Giuliani & Elvire Egger & Julie Italiano & Charlotte Poussin & Jean-Philippe Richard & Bruno Chatenoux, 2020. "Essential Variables for Environmental Monitoring: What Are the Possible Contributions of Earth Observation Data Cubes?," Data, MDPI, vol. 5(4), pages 1-25, October.

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