Earth Observation Open Science: Enhancing Reproducible Science Using Data Cubes

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.

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[31]  David P. Roy,et al.  Analysis Ready Data: Enabling Analysis of the Landsat Archive , 2018, Remote. Sens..

[32]  Tiziana Ferrari,et al.  The Open Science Commons for the European Research Area , 2018 .

[33]  Xuemei Bai,et al.  Global sustainability: the challenge ahead , 2018, Global Sustainability.

[34]  Zhe Zhu,et al.  Science of Landsat Analysis Ready Data , 2019, Remote. Sens..

[35]  Joan Masó-Pau,et al.  A Portal Offering Standard Visualization and Analysis on top of an Open Data Cube for Sub-National Regions: The Catalan Data Cube Example , 2019, Data.

[36]  Gregory Giuliani,et al.  National Open Data Cubes and Their Contribution to Country-Level Development Policies and Practices , 2019, Data.

[37]  Zhe Zhu,et al.  Current status of Landsat program, science, and applications , 2019, Remote Sensing of Environment.

[38]  Fang Yuan,et al.  Building a SAR-Enabled Data Cube Capability in Australia Using SAR Analysis Ready Data , 2019, Data.

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