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Open AccessFeature PaperArticle

National Open Data Cubes and Their Contribution to Country-Level Development Policies and Practices

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Geoscience Australia, Canberra GPO Box 378, Australia
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Institute for Environmental Sciences/GRID-Geneva, University of Geneva, 1205 Geneva, Switzerland
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Instituto Nacional de Estadística y Geografía (INEGI), 20276 Aguascalientes, Mexico
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National Aeronautics and Space Administration, Earth Science Division, 300 E St. SW, Washington, DC 20546, USA
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Booz Allen Hamilton, 8283 Greensboro Dr, McLean, VA 22102, USA
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National Aeronautics and Space Administration, Hampton, VA 23666, USA
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GEO Secretariat, 2300 CH-1211 Geneva, Switzerland
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Author to whom correspondence should be addressed.
Data 2019, 4(4), 144; https://doi.org/10.3390/data4040144
Received: 15 June 2019 / Revised: 23 October 2019 / Accepted: 25 October 2019 / Published: 5 November 2019
(This article belongs to the Special Issue Earth Observation Data Cubes)
The emerging global trend of satellite operators producing analysis-ready data combined with open source tools for managing and exploiting these data are leading to more and more countries using Earth observation data to drive progress against key national and international development agendas. This paper provides examples from Australia, Mexico, Switzerland, and Tanzania on how the Open Data Cube technology has been combined with analysis-ready data to provide new insights and support better policy making across issues as diverse as water resource management through to urbanization and environmental–economic accounting. View Full-Text
Keywords: Open Data Cube; UN 2030 Agenda for Sustainable Development; UN System of Environmental Economic Accounting; Earth observation data Open Data Cube; UN 2030 Agenda for Sustainable Development; UN System of Environmental Economic Accounting; Earth observation data
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Dhu, T.; Guiliani, G.; Juárez, J.; Kavvada, A.; Killough, B.; Merodio, P.; Minchin, S.; Ramage, S. National Open Data Cubes and Their Contribution to Country-Level Development Policies and Practices. Data 2019, 4, 144.

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