
doi: 10.3390/data4040144
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.
333.7-333.9, Earth observation data, Open Data Cube, un 2030 agenda for sustainable development, earth observation data, open data cube, Bibliography. Library science. Information resources, UN 2030 Agenda for Sustainable Development, un system of environmental economic accounting, UN System of Environmental Economic Accounting, Z, ddc: ddc:333.7-333.9
333.7-333.9, Earth observation data, Open Data Cube, un 2030 agenda for sustainable development, earth observation data, open data cube, Bibliography. Library science. Information resources, UN 2030 Agenda for Sustainable Development, un system of environmental economic accounting, UN System of Environmental Economic Accounting, Z, ddc: ddc:333.7-333.9
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 45 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
