The video explains the challenges faced when managing vast quantities of satellite data, for the benefit of humankind, to address a range of environmental, social and agricultural issues. The video introduces the architecture of the Australian Geoscience Data Cube as a key tool for unlocking Earth observation satellite data, to better manage and store vast amounts of data. The Data Cube has already been used to for understanding water observations from Space and its related application for better flood management. The video also provides a case study of developing a satellite data management infrastructure for Kenya. This video was used to launch Australia¿s tenure as the Chair of the Committee of Earth Observation Satellites (CEOS) at the 2015 Plenary CEOS meeting held in Kyoto, Japan in November 2015. Detailed production information: Concept development: Alex Held (CSIRO), Jonathon Ross (Geoscience Australia), Stephen Ward (Symbios Communications), Bobby Cerini (GA), Stuart Minchin (GA), Alexis McIntyre (GA), Chris McKay (CSIRO) Scriptwriter: Bobby Cerini (Geoscience Australia) Production management/ Direction: Bobby Cerini (Geoscience Australia), Adrian King (Redboat) Post production: Adrian King (Redboat), Peter Butz (Redboat), Woro Larasati (Geoscience Australia), Neil Caldwell (Geoscience Australia), CSIRO Land and Water Animation: Neil Caldwell (Geoscience Australia), Stanislav Galan (Redboat), Artjom Zenevich (Redboat), Adrian King (Redboat), NASA Goddard Space Flight Centre Scientific Visualization Laboratory Videography: Andy Wong (Redboat), Michael O'Rourke (Geoscience Australia) Stock footage: European Space Agency, NASA, AFP, Rick Ray/Shutterstock.com, Stock4KVideo/Shutterstock.com, Rekindle Photo and Video/Shutterstock.com, Frazao Production/Shutterstock.com, paintings/Shutterstock.com Photography: NASA-SEO, Clinton Climate Initiative, Stephen Ward (Symbios Communications) Voice recording: AbesAudio Subtitles: Neil Caldwell (Geoscience Australia), Chantelle Farrar (Geoscience Australia)

This project consists of data that has been reprocessed by RPS and AAM for the purpose of creating an improved Victorian coastal DEM including contours based on the original data acquired in 2007. The purpose of this project is to reclassify the original level 2 classification LiDAR data into level 3 for input to a higher accuracy ICSM Level 3 classification (Level 3 DEM). LiDAR (Light Detection and Ranging) is an airborne remote sensing technique for rapid collection of terrain data. The sensor used for this LiDAR project collected XYZ and Intensity data for first and last return by bouncing a pulse from the aircraft to the surface that enables the height and intensity values to be calculated. From the raw LiDAR data, a suite of elevation products was generated including DEM and Contours. Project Products: DEM, Contours, raw LiDAR.

The Walloon Coal Measures (WCM) in the Clarence-Moreton and the Surat basins in Qld and northern NSW contain up to approximately 600 m of mudstone, siltstone, sandstone and coal. Wide-spread exploration for coal seam gas (CSG) within both basins has led to concerns that the depressurisation associated with the resource development may impact on water resources in adjacent aquifers. In order to predict potential impacts, a detailed understanding of sedimentary basins hydrodynamics that integrates geology, hydrochemistry and environmental tracers is important. In this study, we show how different hydrochemical parameters and isotopic tracers (i.e. major ion chemistry, dissolved gas concentrations, 13C-DIC, 18O, 87Sr/86Sr, 3H, 14C, 2H and 13C of CH4) can help to improve the knowledge on groundwater recharge and flow patterns within the coal-bearing strata and their connectivity with over- or underlying formations. Dissolved methane concentrations in groundwaters of the WCM in the Clarence-Moreton Basin range from below the reporting limit (10 µg/L) to approximately 50 mg/L, and samples collected from nested bore sites show that there is also a high degree of vertical variability. Other parameters such as groundwater age measurements collected along distinct flow paths are also highly variable. In contrast, 87Sr/86Sr isotope ratios of WCM groundwaters are very uniform and distinct from groundwaters contained in other sedimentary bedrock units, suggesting that 87Sr/86Sr ratios may be a suitable tracer to study hydraulic connectivity of the Walloon Coal Measures with over- or underlying aquifers, although more studies on the systematic are required. Overall, the complexity of recharge processes, aquifer connectivity and within-formation variability confirms that a single tracer that cannot provide all information necessary to understand aquifer connectivity in these sedimentary basins, but that a multi-tracer approach is required.

This report is part of the Gippsland Marine Environmental Monitoring (GMEM) project. The GMEM was developed in response to stakeholder concerns from the fisheries industry about a Geoscience Australia seismic survey in the Gippsland Basin (GA352 in April 2015), in addition to a broader need to acquire baseline data to be used to quantify impacts of seismic operations on marine organisms. Components of this study included monitoring and modelling sound produced from air guns during seismic survey GA 352, assessing potential impacts to scallops using seafloor images acquired with an Autonomous Underwater Vehicle (AUV), and evaluating the use of the AUV in this capacity. The Fisheries Research and Development Corporation financially contributed to these components through the award of a grant (FRDC 2014-041). This report represents the final milestone for FRDC 2014-041.

This project consists of data that has been reprocessed by RPS and AAM for the purpose of creating an improved Victorian coastal DEM including contours based on the original data acquired in 2007. The purpose of this project is to reclassify the original level 2 classification LiDAR data into level 3 for input to a higher accuracy ICSM Level 3 classification (Level 3 DEM). LiDAR (Light Detection and Ranging) is an airborne remote sensing technique for rapid collection of terrain data. The sensor used for this LiDAR project collected XYZ and Intensity data for first and last return by bouncing a pulse from the aircraft to the surface that enables the height and intensity values to be calculated. From the raw LiDAR data, a suite of elevation products was generated including DEM and Contours. Project Products: DEM, Contours, raw LiDAR.

Compilation of new and existing data can be used to show systematic variations in initial ore-related Pb isotope ratios and derived parameters for the Lachlan and Delamerian orogens of southeast Australia. In addition to mapping tectonic boundaries and providing genetic context to mineralising processes, these variations map mineralised provinces at the orogenic scale and can provide vectors to ore at the district scale. In New South Wales and Victoria, mapping using a parameter termed the 'Lachlan Lead Index' (LLI), which measures relative mixing between crustal- and mantle-derived Pb using the curves of Carr et al. (1995, Economic Geology 90:14671505), clearly demarcates the boundary between the Eastern and Central Lachlan provinces, and seems to identify boundaries between zones within the Western Lachlan Province of Victoria. The LLI also maps the extent of the isotopically juvenile Macquarie 'Arc' in New South Wales. However, rocks in the Rockley-Gulgong Belt, initially mapped as part of the Macquarie Arc, have a more evolved isotopic character, suggesting that these rocks are not part of the Macquarie Arc. This interpretation supports recent mapping that casts doubt on the attribution of this belt to the Macquarie Arc (Quinn, et al., 2014, Journal of the Geological Society of London 171:723736). The LLI has also identified small exposures of Ordovician volcanic rocks, well removed from the main Macquarie Arc, as possible correlates to this arc, with potential to host porphyry and epithermal deposits. Metallogenically, porphyry Cu-Au deposits in the Macquarie Arc are characterised by juvenile Pb. In contrast, Sn and Mo deposits in the Central Lachlan Province (i.e., the Wagga tin belt) are characterised by highly evolved Pb even though these deposits formed over 30 million years. Moreover, the Pb isotope data suggest that the original interpretation that copper deposits in the Girilambone district are volcanic-associated massive sulfide deposits was correct and that these deposits formed in a back-arc to the Macquarie Arc at ~480 Ma. In the Mount Read Volcanics of western Tasmania, all deposits appear to cluster along the same growth curve. However, when divided according to age (i.e., Cambrian (~500 Ma) versus Devonian (~360 Ma)), spatial patterns are visible in 206Pb/204Pb data. For Cambrian deposits 206Pb/204Pb decreases overall to the southeast, although low values are also present in the far south (i.e., Elliott Bay) and northeast. The most highly mineralised central part of the belt seems to be broadly associated with the zone of highest 206Pb/204Pb. Variations in 206Pb/204Pb for Devonian deposits broadly mimic the patterns seen for the Cambrian deposits. More importantly, a district-scale pattern in 206Pb/204Pb is present in the Zeehan district. Isotopically, the Sn-dominated core of the Zeehan district (e.g. Queen Hill and Severn deposits) is characterised by high 206Pb/204Pb, which decreases outward into the Zn-Pb-Ag-dominated peripheries. Lead isotope distribution patterns can potentially be used as an ore vector in this and other intrusion-centered mineral systems.

We propose a surface cover change detection system based on the Australian Geoscience Data Cube (AGDC). The AGDC is a common analytical framework for large volumes of regularly gridded geoscientific data initially developed by Geoscience Australia (GA). AGDC effectively links geoscience data sets from various sources by spatial and temporal stamps associated with the data. Therefore, AGDC enables analysis of generations of consistent remote sensing time series data across Australia. The Australian Reflectance Grid 25m is one of the remote sensing data sets in the AGDC. The data is currently hosted at the high performance computational cloud at the National Computational Infrastructure. The proposed change detection system takes advantage of temporally rich data in the AGDC, applying time series analysis to identify changes in surface cover. The proposed system consists of various modules, which are independent of each other. The modules include: - a pixel quality mask and time series noise detection mask, which detects and filters out noise in data; - spectral classification modules based on random forests algorithm, which classifies pixels into specific objects using spectral information; - training modules which create classification modules using known surface cover data; - time series analysis modules, which models and transforms time series data into coefficients relevant to change detection targets; - temporal and spatial classification modules, which classify pixels into predefined land cover classes. A typical work flow for a change detection system includes sequential integration of the above mentioned modules. The system has been tested for applications in shallow water coastal zones and reforestation / deforestation detection, and displays a good potential for further development. This paper summarises development of the work flow and the initial results from example applications, such as reforestation / deforestation detection.

Satellite Earth observation data presents unique opportunities for society to respond to major challenges like climate change, food security and sustainable development. But significant technical challenges, including to enable different data streams to be integrated and the sheer volume of the data, are preventing that full value from being realised. The explosion in free, highresolution, global data from next-generation satellites, linked with the potential of new highperformance ICT infrastructure and architectures, positions us to meet this challenge. As the 2016 CEOS Chair, and as a sophisticated user of multiple EO satellite data streams, Australia is proposing that CEOS explore how these new technologies can ensure CEOS agency satellite data can be 'unlocked and put to work'.

InaSAFE is free and open source software for developing realistic disaster impact scenarios for better disaster planning and response. Originally developed in Indonesia, it is now being used in many countries around the world to inform disaster management decision making with a strong scientific evidence base. Designed to be simple to use, InaSAFE can rapidly output the estimated impacts of a hazard event on a given exposure dataset and translate this information into a series of questions targeting particular disaster management actions. This supports disaster managers to make better decisions about the resources that they may need to respond to a disaster event. This presentation will demonstrate case studies of InaSAFE use for a range of hazards (earthquake, tsunami, volcanic ash and fire) for locations in Australia and the region. This will demonstrate InaSAFE's capability and its applicability to a diverse range of disaster management problems.

The National Broadcasting Studios dataset presents the spatial locations; in point format, of all known broadcasting studios within Australia.