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Research Articles

Digital earth Australia – unlocking new value from earth observation data

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Pages 64-74 | Received 16 Oct 2017, Accepted 05 Nov 2017, Published online: 20 Dec 2017

References

  • Australian Academy of Science. (2009). An Australian strategic plan for earth observations from space [online]. Canberra: Author. Retrieved November 1, 2017 from, https://www.science.org.au/files/userfiles/support/reports-and-plans/2015/earth-observations-from-space.pdf
  • Australian Government. (2015). Our north, our future: White paper on developing northern Australia [online]. Retrieved November 1, 2017 from, http://northernaustralia.gov.au/sites/prod.office-northern-australia.gov.au/files/files/NAWP-FullReport.pdf
  • Baumann, P., Mazzetti, P., Ungar, J., Barbera, R., Barboni, D., Beccati, A., … Wagner, S. (2016). Big data analytics for earth sciences: The earthserver approach. International Journal of the Digital Earth, 9, 3–29. doi:10.1080/17538947.2014.1003106
  • Bureau of Meteorolgy. (2017). Hydrologic reference stations, dataset version October 2015 [online]. Retrieved November 1, 2017 from, http://www.bom.gov.au/water/hrs/
  • Committee on Earth Observation Satellites. (2016). CEOS analysis ready data for land (CARD4L) description document [online]. Retrieved from http://ceos.org/document_management/Meetings/Plenary/30/Documents/5.5_CEOS-CARD4L-Description_v.22.docx
  • Egbert, G. D., & Erofeeva, S. Y. (2002). Efficient inverse modeling of barotropic ocean tides. Journal of Atmospheric and Oceanic Technology, 19, 183–204. doi:10.1175/1520-0426(2002)019<0183:EIMOBO>2.0.CO;2
  • Gorelick, N., Hancher, M., Dixon, M., Ilyushchenko, S., Thau, D., & Moore, R. (2017). Google earth engine: Planetary-scale geospatial analysis for everyone. Remote Sensing of Environment, In-press,. doi:10.1016/j.rse.2017.06.031
  • Griggs, D., Stafford-Smith, M., Gaffney, O., Rockström, J., Öhman, M. C., Shyamsundar, P., … Noble, I. (2013). Policy: Sustainable development goals for people and planet. Nature, 495, 305–307. doi:10.1038/495305a
  • Jones, D., Wang, W., & Fawcett, R. (2009). High-quality spatial climate data-sets for Australia. Australian Meteorological and Oceanographic Journal, 58, 233–248.10.22499/2.00000
  • Joyce, B., & Nash, F. (2017). Regional Australia – Driving our economy 2017–18 [online]. Australian Government, Department of Infrastructure and Regional Development. Retrieved November 1, 2017 from https://infrastructure.gov.au/department/statements/2017_2018/ministerial-statement/2017-18-Regional-Ministerial-Budget-Statement.pdf
  • Lewis, A., Oliver, S., Lymburner, L., Evans, B., Wyborn, L., Mueller, N., … Wang, L.-W. (2017). The Australian geoscience data cube – Foundations and lessons learned. Remote Sensing of Environment, p. S0034425717301086). In Press. https://doi.org/10.1016/j.rse.2017.03.015
  • Lewis, A., Lymburner, L., Purss, M. B. J., Brooke, B., Evans, B., Ip, A., … Wyborn, L. (2016). Rapid, high-resolution detection of environmental change over continental scales from satellite data – the Earth Observation Data Cube. International Journal of Digital Earth, 9(1), 106–111. doi:10.1080/17538947.2015.1111952
  • Li, F., Jupp, D. L., Reddy, S., Lymburner, L., Mueller, N., Tan, P., & Islam, A. (2010). An evaluation of the use of atmospheric and BRDF correction to standardize landsat data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 3(3), 257–270. doi:10.1109/JSTARS.2010.2042281
  • Li, F., Jupp, D. L. B., Thankappan, M., Lymburner, L., Mueller, N., Lewis, A., & Held, A. (2012). A physics-based atmospheric and BRDF correction for Landsat data over mountainous terrain. Remote Sensing of Environment, 124, 756–770. doi:10.1016/j.rse.2012.06.018
  • Lymburner, L., Botha, E., Hestir, E., Anstee, J., Sagar, S., Dekker, A., & Malthus, T. (2016). Landsat 8: Providing continuity and increased precision for measuring multi-decadal time series of total suspended matter. Remote Sensing of Environment, 185, 108–118. doi:10.1016/j.rse.2016.04.011
  • Mueller, N., Lewis, A., Roberts, D., Ring, S., Melrose, R., Sixsmith, J., … Ip, A. (2016). Water observations from space: Mapping surface water from 25 years of Landsat imagery across Australia. Remote Sensing of Environment, 174, 341–352. doi:10.1016/j.rse.2015.11.003
  • Overpeck, J., Meehl, G. A., Bony, S., & Easterling, D. R. (2011). Climate data challenges in the 21st century. Science, 331, 700–702. doi:10.1126/science.1197869
  • Petheram, C., McMahon, T. A., & Peel, M. C. (2008). Flow characteristics of rivers in northern Australia: Implications for development. Journal of Hydrology, 357(1–2), 93–111.10.1016/j.jhydrol.2008.05.008
  • Pigram, J. (2007). Australia’s water resources: From use to management. Collingwood, Victoria: CSIRO Publishing.
  • Roberts, D., McIntyre, A., & Mueller, N. (2017). High-dimensional pixel composites from earth observation time series. IEEE Transactions on Geoscience and Remote Sensing, 55(11), 6254–6264. doi:10.1109/TGRS.2017.2723896
  • Sagar, S., Roberts, D., Bala, B., & Lymburner, L. (2017).  Extracting the intertidal extent and topography of the Australian coastline from a 28 year time series of Landsat observations. Remote Sensing of Environment, 195, 153–169. doi:10.1016/j.rse.2017.04.009
  • Sinergise. (2017). Sentinel playground [online]. Retrieved November 1, 2017 from, http://apps.sentinel-hub.com/sentinel-playground
  • Thomas, R. F., Kingsford, R. T., Lu, Y., & Hunter, S. J. (2011). Landsat mapping of annual inundation (1979–2006) of the Macquarie Marshes in semi-arid Australia. International Journal of Remote Sensing, 32(16), 4545–4569.10.1080/01431161.2010.489064
  • UN General Assembly. (2015). Transforming our world: The 2030 Agenda for Sustainable Development. Retrieved November 1, 2017 from, http://www.refworld.org/docid/57b6e3e44.html