Map produced for the Department of Resources, Energy and Tourism show the oil and gas fields in the Timor Sea together with the JPDA, and other boundaries. For the internal use of the Department.

Australia's Earth Observation Program has downlinked and archived satellite data acquired under the NASA Landsat mission for the Australian Government since the establishment of the Australian Landsat Station in 1979. Geoscience Australia maintains this archive and produces image products to aid the delivery of government policy objectives. Due to the labour intensive nature of processing of this data there have been few national-scale datasets created to date. To compile any Earth Observation product the historical approach has been to select the required subset of data and process 'scene by scene' on an as-needed basis. As data volumes have increased over time, and the demand for the processed data has also grown, it has become increasingly difficult to rapidly produce these products and achieve satisfactory policy outcomes using these historic processing methods. The result is that we have been 'drowning in a sea of uncalibrated data' and scientists, policy makers and the public have not been able to realise the full potential of the Australian Landsat Archive and its value is therefore significantly diminished. To overcome this critical issue, the Australian Space Research Program has funded the 'Unlocking the Landsat Archive' (ULA) Project from April 2011 to June 2013 to improve the access and utilisation of Australia's archive of Landsat data. The ULA Project is a public-private consortium led by Lockheed Martin Australia (LMA) and involving Geoscience Australia (GA), the Victorian Partnership for Advanced Computing (VPAC), the National Computational Infrastructure (NCI) at the Australian National University (ANU) and the Cooperative Research Centre for Spatial Information (CRC-SI). The outputs from the ULA project will become a fundamental component of Australia's eResearch infrastructure, with the Australian Landsat Archive hosted on the NCI and made openly available under a creative commons licence. NCI provides access to researchers through significant HPC supercomputers, cloud infrastructure and data resources along with a large catalogue of software tools that make it possible to fully explore the potential of this data. Under the ULA Project, Geoscience Australia has developed a data-intensive processing workflow on the NCI. This system has allowed us to successfully process 11 years of the Australian Landsat Archive (from 2000 to 2010 inclusive) to standardised well-calibrated and sensor independent data products at a rate that allows for both bulk data processing of the archive and near-realtime processing of newly acquired satellite data. These products are available as Optical Surface Reflectance 25m (OSR25) and other derived products, such as Fractional Cover.

This diagram was requested by G Boyes for inclusion into the Fisheries Management (Excepted Areas) Proclamation 2011. Our reference: Job 646

Map compiled on request from AGS Native Title Case QUD6040/2001 Proclamation 4 See 2008/3111 for particulars.

Advice diagram for RET

Map produced for the Australian Federal Police showing the logged positions of Vessel Immacolata on the 7th October 2007 on a background on AUS808 and AUS809 showing more detail such as the cable protection zone.

Flat model shows all maritime zones excluding coastal waters

Report detailing the current status of use of remote sensing for disaster risk reduction in Papua New Guinea, and potential strategies for increasing uptake.

Commercial-in-confidence consultancy report prepared for NSW Department of Infrastructure, Planning and Natural Resources. The report reviews the Na-24 salinity mapping technology of Natural Resource Intelligence Pty Ltd.

A new bathymetry grid for the Gulf of Papua and Northern Australia was produced for the area 137°-150°E, 6°-14°S, with 0.001° cell size using a minimum curvature spline under tension. New multibeam sonar bathymetry data and STRM topography added much needed detail to a region of the seabed where previously little was known. In shallow Australian waters bathymetry derived from Landsat satellite imagery was used to supplement traditionally acquired bathymetry data.