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Semantic Earth Observation Data Cubes
Open AccessFeature PaperArticle

Paving the Way to Increased Interoperability of Earth Observations Data Cubes

1
Institute for Environmental Sciences, University of Geneva, enviroSPACE, Bd Carl-Vogt 66, CH-1205 Geneva, Switzerland
2
Institute for Environmental Sciences, University of Geneva, GRID-Geneva, Bd Carl-Vogt 66, CH-1211 Geneva, Switzerland
3
Center for Ecological Research and Forestry Applications (CREAF), Universitat Autònoma de Barcelona (UAB), 08193 Bellaterra, Barcelona, Spain
4
National Research Council of Italy (CNR)—Institute of Atmospheric Pollution Research, Via Madonna del Piano 10, 50019 Sesto Fiorentino, Italy
5
European Commission Joint Research Center (JRC), Via E. Fermi, 2749, 21027 Ispra, Italy
6
Geography Department, Universitat Autònoma de Barcelona (UAB), 08193 Bellaterra, Barcelona, Spain
*
Author to whom correspondence should be addressed.
Data 2019, 4(3), 113; https://doi.org/10.3390/data4030113
Received: 14 June 2019 / Revised: 26 July 2019 / Accepted: 27 July 2019 / Published: 30 July 2019
(This article belongs to the Special Issue Earth Observation Data Cubes)
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PDF [4465 KB, uploaded 30 July 2019]
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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. View Full-Text
Keywords: Open Data Cube; remote sensing; geospatial standards; landsat; sentinel; analysis ready data Open Data Cube; remote sensing; geospatial standards; landsat; sentinel; analysis ready data
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MDPI and ACS Style

Giuliani, G.; Masó, J.; Mazzetti, P.; Nativi, S.; Zabala, A. Paving the Way to Increased Interoperability of Earth Observations Data Cubes. Data 2019, 4, 113.

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