Paving the way to increased interoperability of earth observations data cubes
Giuliani, Gregory (Université de Genève. Institut des sciences de l'environnement)
Maso, Joan (Centre de Recerca Ecològica i d'Aplicacions Forestals)
Mazzetti, Paolo (Consiglio Nazionale delle Ricerche. Istituto sull'Inquinamento Atmosferico)
Nativi, Stefano (European Commission. Joint Research Center (Ispra, Itàlia))
Zabala Torres, Alaitz (Universitat Autònoma de Barcelona. Departament de Geografia)

Fecha:	2019
Resumen:	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, effcient discovery, access and processing services.
Ayudas:	European Commission 689443 European Commission 641762
Derechos:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Lengua:	Anglès
Documento:	Article ; recerca ; Versió publicada
Materia:	Open Data Cube ; Remote sensing ; Geospatial standards ; Landsat ; Sentinel ; Analysis ready data
Publicado en:	Data, Vol. 4, issue 3 (Sep. 2019) , art. 113, ISSN 2306-5729

DOI: 10.3390/data4030113

23 p, 4.4 MB

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