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Earth Observation Open Science: Enhancing Reproducible Science Using Data Cubes

Author

Listed:
  • Gregory Giuliani

    (Institute for Environmental Sciences, University of Geneva, Bd Carl-Vogt 66, CH-1205 Geneva, Switzerland
    United Nation Environment Programme, Science Division, GRID-Geneva, 11 Chemin des Anémones, CH-1219 Châtelaine, Switzerland)

  • Gilberto Camara

    (Group on Earth Observations, 7bis Avenue de la Paix, Case Postale 2300, 1211 Geneva, Switzerland)

  • Brian Killough

    (National Aeronautics and Space Administration, Langley Research Center, MS 457, Hampton, VA 23681, USA)

  • Stuart Minchin

    (Geoscience Australia, GPO Box 378, Canberra, ACT 2601, Australia)

Abstract

Earth Observation Data Cubes (EODC) have emerged as a promising solution to efficiently and effectively handle Big Earth Observation (EO) Data generated by satellites and made freely and openly available from different data repositories. The aim of this Special Issue, “Earth Observation Data Cube”, in Data, is to present the latest advances in EODC development and implementation, including innovative approaches for the exploitation of satellite EO data using multi-dimensional (e.g., spatial, temporal, spectral) approaches. This Special Issue contains 14 articles covering a wide range of topics such as Synthetic Aperture Radar (SAR), Analysis Ready Data (ARD), interoperability, thematic applications (e.g., land cover, snow cover mapping), capacity development, semantics, processing techniques, as well as national implementations and best practices. These papers made significant contributions to the advancement of a more Open and Reproducible Earth Observation Science, reducing the gap between users’ expectations for decision-ready products and current Big Data analytical capabilities, and ultimately unlocking the information power of EO data by transforming them into actionable knowledge.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jdataj:v:4:y:2019:i:4:p:147-:d:290666
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    References listed on IDEAS

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    1. Charlotte Poussin & Yaniss Guigoz & Elisa Palazzi & Silvia Terzago & Bruno Chatenoux & Gregory Giuliani, 2019. "Snow Cover Evolution in the Gran Paradiso National Park, Italian Alps, Using the Earth Observation Data Cube," Data, MDPI, vol. 4(4), pages 1-25, October.
    2. John Truckenbrodt & Terri Freemantle & Chris Williams & Tom Jones & David Small & Clémence Dubois & Christian Thiel & Cristian Rossi & Asimina Syriou & Gregory Giuliani, 2019. "Towards Sentinel-1 SAR Analysis-Ready Data: A Best Practices Assessment on Preparing Backscatter Data for the Cube," Data, MDPI, vol. 4(3), pages 1-37, July.
    3. Sören Gebbert & Thomas Leppelt & Edzer Pebesma, 2019. "A Topology Based Spatio-Temporal Map Algebra for Big Data Analysis," Data, MDPI, vol. 4(2), pages 1-25, June.
    4. Trevor Dhu & Gregory Giuliani & Jimena Juárez & Argyro Kavvada & Brian Killough & Paloma Merodio & Stuart Minchin & Steven Ramage, 2019. "National Open Data Cubes and Their Contribution to Country-Level Development Policies and Practices," Data, MDPI, vol. 4(4), pages 1-17, November.
    5. 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.
    6. 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.
    7. Shushanik Asmaryan & Vahagn Muradyan & Garegin Tepanosyan & Azatuhi Hovsepyan & Armen Saghatelyan & Hrachya Astsatryan & Hayk Grigoryan & Rita Abrahamyan & Yaniss Guigoz & Gregory Giuliani, 2019. "Paving the Way towards an Armenian Data Cube," Data, MDPI, vol. 4(3), pages 1-10, August.
    8. Chris Schubert & Georg Seyerl & Katharina Sack, 2019. "Dynamic Data Citation Service—Subset Tool for Operational Data Management," Data, MDPI, vol. 4(3), pages 1-12, August.
    9. Richard Lucas & Norman Mueller & Anders Siggins & Christopher Owers & Daniel Clewley & Peter Bunting & Cate Kooymans & Belle Tissott & Ben Lewis & Leo Lymburner & Graciela Metternicht, 2019. "Land Cover Mapping using Digital Earth Australia," Data, MDPI, vol. 4(4), pages 1-21, November.
    10. Steve Kopp & Peter Becker & Abhijit Doshi & Dawn J. Wright & Kaixi Zhang & Hong Xu, 2019. "Achieving the Full Vision of Earth Observation Data Cubes," Data, MDPI, vol. 4(3), pages 1-19, July.
    11. Hannah Augustin & Martin Sudmanns & Dirk Tiede & Stefan Lang & Andrea Baraldi, 2019. "Semantic Earth Observation Data Cubes," Data, MDPI, vol. 4(3), pages 1-19, July.
    12. Hans-Peter Plag & Shelley-Ann Jules-Plag, 2019. "A Transformative Concept: From Data Being Passive Objects to Data Being Active Subjects," Data, MDPI, vol. 4(4), pages 1-25, October.
    13. 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.
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    Cited by:

    1. Isabel Nicholson Thomas & Gregory Giuliani, 2023. "Exploring Switzerland’s Land Cover Change Dynamics Using a National Statistical Survey," Land, MDPI, vol. 12(7), pages 1-20, July.
    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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