{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T11:20:01Z","timestamp":1774351201505,"version":"3.50.1"},"reference-count":45,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2019,11,25]],"date-time":"2019-11-25T00:00:00Z","timestamp":1574640000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Data"],"abstract":"<jats:p>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, \u201cEarth Observation Data Cube\u201d, 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\u2019 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.<\/jats:p>","DOI":"10.3390\/data4040147","type":"journal-article","created":{"date-parts":[[2019,11,25]],"date-time":"2019-11-25T11:12:21Z","timestamp":1574680341000},"page":"147","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":58,"title":["Earth Observation Open Science: Enhancing Reproducible Science Using Data Cubes"],"prefix":"10.3390","volume":"4","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1825-8865","authenticated-orcid":false,"given":"Gregory","family":"Giuliani","sequence":"first","affiliation":[{"name":"Institute for Environmental Sciences, University of Geneva, Bd Carl-Vogt 66, CH-1205 Geneva, Switzerland"},{"name":"United Nation Environment Programme, Science Division, GRID-Geneva, 11 Chemin des An\u00e9mones, CH-1219 Ch\u00e2telaine, Switzerland"}]},{"given":"Gilberto","family":"Camara","sequence":"additional","affiliation":[{"name":"Group on Earth Observations, 7bis Avenue de la Paix, Case Postale 2300, 1211 Geneva, Switzerland"}]},{"given":"Brian","family":"Killough","sequence":"additional","affiliation":[{"name":"National Aeronautics and Space Administration, Langley Research Center, MS 457, Hampton, VA 23681, USA"}]},{"given":"Stuart","family":"Minchin","sequence":"additional","affiliation":[{"name":"Geoscience Australia, GPO Box 378, Canberra, ACT 2601, Australia"}]}],"member":"1968","published-online":{"date-parts":[[2019,11,25]]},"reference":[{"key":"ref_1","first-page":"1","article-title":"Global sustainability: the challenge ahead","volume":"1","author":"Bai","year":"2018","journal-title":"Glob. 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