The Australian approach to geospatial capabilities; positioning, earth observation, infrastructure and analytics: issues, trends and perspectives
Autor: | Suelynn Choy, Peter Woodgate, Lesley M. Arnold, Isabel Coppa, Matt Duckham, Stuart R. Phinn |
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Rok vydání: | 2017 |
Předmět: |
trends
Earth observation Geospatial analysis 010504 meteorology & atmospheric sciences Computer science lcsh:Geodesy Geography Planning and Development 0211 other engineering and technologies earth observation 02 engineering and technology computer.software_genre 01 natural sciences remote sensing Computers in Earth Sciences enablers 021101 geological & geomatics engineering 0105 earth and related environmental sciences Remote sensing lcsh:QB275-343 business.industry Australia lcsh:Mathematical geography. Cartography Data science Analytics positioning spatial knowledge infrastructure (SKI) lcsh:GA1-1776 business geospatial information computer |
Zdroj: | Geo-spatial Information Science, Vol 20, Iss 2, Pp 109-125 (2017) |
ISSN: | 1993-5153 1009-5020 |
Popis: | This paper examines the current state of three of the key areas of geospatial science in Australia: positioning; earth observation (EO); and spatial infrastructures. The paper discusses the limitations and challenges that will shape the development of these three areas of geospatial science over the next decade and then profiles what each may look like in about 2026. Australia’s national positioning infrastructure plan is guiding the development of a nation-wide, sub decimeter, real-time, outdoor positioning capability based on multi-GNSS and in particular the emerging precise point positioning − real-time kinematic (PPP-RTK) capability. Additional positioning systems including the ground-based Locata system, location-based indoor systems, and beacons, among others are also discussed. The importance of the underpinning role of a next generation dynamic datum is considered. The development of Australia’s first EO strategy is described along with the key national needs of the products of remote sensing. The development of massive on-line multi-decadal geospatial imagery data stores and processing engines for co-registered stacks of continuous base-line satellite imagery are explored. Finally, perspectives on the evolution of a future spatial knowledge infrastructure (SKI) emerging from today’s traditional spatial data infrastructures (SDIs) are provided together with discussion of the growing importance of geospatial analytics for transforming whole supply chains. |
Databáze: | OpenAIRE |
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