The Historical Bushfire Boundaries service represents the aggregation of jurisdictional supplied burnt areas polygons stemming from the early 1900's through to 2022 (excluding the Northern Territory). The burnt area data represents curated jurisdictional owned polygons of both bushfires and prescribed (planned) burns. To ensure the dataset adhered to the nationally approved and agreed data dictionary for fire history Geoscience Australia had to modify some of the attributes presented. The information provided within this service is reflective only of data supplied by participating authoritative agencies and may or may not represent all fire history within a state.

Spatially continuous information is often required for environmental planning and conservation. Spatial modelling methods are essential for generating such information from point samples. The accuracy of spatial predictions is crucial for evidence-based decision making and often affected by many factors. Spatial reference systems can alter the features of spatial data and thus are expected to affect the predictions of spatial modelling methods. However, the degree to which such systems can affect the predictions has not been examined yet. It is not clear whether such effect changes with spatial modelling methods neither. In this study, we aim to test how sensitive spatial modelling methods are to different spatial reference systems. On the basis of a review of different spatial reference systems, we select eight systems that are suitable for environmental variables for the Australian Exclusive Economic Zone. We apply two most commonly used spatial interpolation methods to a marine dataset that is projected using the eight systems. Finally we assess the accuracy of the methods using leave-one-out cross validation in terms of their predictive errors. The sensitivities of the spatial modelling methods to the eight spatial reference systems are then analyzed. The data manipulation and modelling work are implemented in ArcGIS and R. In this paper, we discuss the testing results; examine the spatial predictions visually; and discuss the implications of the findings on spatial predictions in the marine environmental sciences. The outcomes of this study can be applied to the spatial predictions of both marine and terrestrial environmental variables. ModSim 2013, Adelaide, South Australia

These datasets contain legacy data from the decommissioned MapConnect/AMSIS2 application. It contains legacy data for Fisheries, Regulatory, Offshore Minerals and Environment. It is not authoritative and has not been updated since 2006. These datasets contain legacy data found in the Australian Marine Spatial Information System (AMSIS) between 2006 and 2015, with a currency date of 2006. . Users will need to contact the agency responsible for the data to check current validity and spatial precision.

Marine visual imaging has become a major assessment tool in the science, policy and public understanding of our seas and oceans. The technology to acquire and process this imagery has significantly evolved in recent years through the development of new camera platforms, camera types, lighting systems and analytical software. These advances have led to new challenges in imaging, including storage and management of `big data, manipulation of digital photos, and the extraction of biological and ecological data. The need to address these challenges, within and beyond the scientific community, is set to substantially increase in the near future, as imaging is increasingly used in the designation and evaluation of marine conservation areas, and for the assessment of environmental baselines and impact monitoring for maritime industry. We review the state of the theory, techniques and technologies associated with each of the steps of marine imaging for observation and research, and to provide an outlook on the future from this active scientific and engineering community that develops and uses it.

To date, a range of methods have been developed and applied to the processing and analysis of underwater video and imagery, in part driven by different requirements. For example, in Australia, the marine science community who are partnered by the National Environmental Research Program (NERP) and funded by the Marine Biodiversity Hub, has developed a national CATAMI (Collaborative and Automated Tools for Analysis of Marine Imagery and video) scheme. Technological advances in recent years have improved the usability and output quality of underwater video and still images used to identify and monitor underwater habitats and structures and as a result, these techniques are more frequently applied to marine studies. So far, a comprehensive review of underwater video and still imagery processing/analysis methods has not been completed, although the number of studies utilising underwater stills and video has increased dramatically. Difficulties in diver limitation and stringent regulations applied to the collection of diver-based imagery and video data from underwater benthic habitats. Therefore, remote sensing methods such as underwater video and still imagery are becoming increasingly pivotal for ground-truthing benthic biological and physical habitats in shallow and deep marine and freshwater habitats and are also providing a permanent archive for future analyses. This review focuses on post-processing observational methods used for underwater video and still image habitat classification and quantification. We summarise the main applications, advantages and disadvantages of video and still imagery scoring methods, and illustrate recent advances in this topic.

Geoscience Australia Flyer prepared for LOCATE14.

This Georgina Basin dataset contains descriptive attribute information for the areas bounded by the relevant spatial groundwater feature in the associated Hydrogeology Index map. Descriptive topics are grouped into the following themes: Location and administration; Demographics; Physical geography; Surface water; Geology; Hydrogeology; Groundwater; Groundwater management and use; Environment; Land use and industry types; and Scientific stimulus. The Georgina Basin is a large intra-cratonic sedimentary basin in central Australia that has undergone several deformation events throughout its geological history. Its deposition began during the Neoproterozoic due to the breakup and erosion of the Rodinia Supercontinent, resulting in the broader Centralian Superbasin, encompassing the Amadeus, Georgina, Ngalia, Officer, and Savory basins. The basin's initial formation occurred as a north-west trending extensional structure in its southern part, containing thick sequences preserved in structural depo-centres such as the Toko Syncline, Dulcie Syncline, and Burke River Structural Zone. The basin unconformably overlies Proterozoic basement rocks, with its eastern boundary onlapping the Mesoproterozoic Mount Isa Province. The Georgina Basin is connected to the Daly and Wiso basins by early to middle Cambrian seaways in some areas, while in others, they are separated by basement highs like the Tomkinson, Warramunga, and Davenport provinces. The northern Georgina Basin is overlain by Mesozoic rocks of the Carpentaria Basin, and the southern basin is covered by Cenozoic deposits. The stratigraphy and rock types within the Georgina Basin include Neoproterozoic rock units in the southern parts correlated with the Centralian Superbasin, characterized by dolostone, tillite, sandstone, quartzite, siltstone, conglomerate, and shale. The basin's structure has been moderately deformed by folding and faulting, with the most significant deformation in its southern part related to the Ordovician to Carboniferous Alice Springs Orogeny. The basin's development occurred in several stages, including Neoproterozoic rifting and subsidence, tectonic activity during the Petermann Orogeny, Early Cambrian rifting, Middle to late Cambrian foreland loading and deposition, Early Ordovician minor rifting, transpression during the Alice Springs Orogeny, and a final phase of synorogenic siliclastic sedimentation in a foreland basin setting, is limited to southern depo-centres. Overall, the Georgina Basin's complex geological history has resulted in a diverse array of sedimentary rocks and structural features, making it a significant area of interest for geological studies and resource exploration in central Australia.

Data package containing an ESRI shapefile and associated comma-separated value table (.csv) of the Pacific islands, including the countries of Cook Islands, Federated States of Micronesia, Fiji, Kiribati, Nauru, Niue, Palau, Papua New Guinea, Republic of Marshall Islands, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu and Vanuatu. The ESRI shapefile contains polygons of the islands and has been adapted from the World Vector Shoreline dataset, with original scale suitability of 1:250,000 (reference: Soluri, E.A. and Woodson, V.A. 1990. World Vector Shoreline. International Hydrographic Review LXVII(1)). See lineage for more information. The .csv file contains tabular data associated with the island polygons. The file has been adapted to suit the purposes of the companion report by Dixon-Jain et al. (2014). The island polygon shapefile and .csv file can be joined using the common UniqueID field. The attribute fields within the .csv file include island hydrogeological and physical characteristics. Relative ratings for component of the potential vulnerability framework are included for the two projection periods (2035-2064 and 2070-2099), for each climate hazard (low rainfall periods and mean sea-level rise). See the field list within lineage in the Data Dictionary for more information on the source of each attribute. The full bibliographic reference for the companion report (catalogue number 79066) is: Dixon-Jain, P., Norman, R., Stewart, G., Fontaine, K., Walker, K., Sundaram, B., Flannery, E., Riddell, A., Wallace, L. 2014. Pacific Island Groundwater and Future Climates: First-Pass Regional Vulnerability Assessment. Record 2014/43. Geoscience Australia, Canberra. http://dx.doi.org/10.11636/Record.2014.043

Since 2012, Geoscience Australia (GA) has been providing spatial support and advice to the National Situation Room (NSR) (formally the Crisis Coordination Centre (CCC)) within Emergency Management Australia (EMA) as part of GA’s collaboration with the Attorney-General’s Department. A key information requirement identified by EMA was the need to quickly understand what is in an event area. To address this requirement Geoscience Australia designed the Exposure Report which greatly simplifies the interpretation of exposure information for timely emergency response and recovery decision-making. The Exposure Report is generated by extracting the relevant attributes from the Geoscience Australia National Exposure information System (NEXIS) such as demographics, building, business, agriculture, institutions and infrastructure in an event footprint, geographical boundary or potentially threatened area. This automated process quickly presents the required information in a clear and easily accessible report detailing estimates of what exists in the event area. By improving the timeliness and accuracy of information used by the NSR, Geoscience Australia is enhancing the government’s ability to respond to disaster and activate appropriate financial assistance for recovery.

This Tasmania Basin dataset contains descriptive attribute information for the areas bounded by the relevant spatial groundwater feature in the associated Hydrogeology Index map. Descriptive topics are grouped into the following themes: Location and administration; Demographics; Physical geography; Surface water; Geology; Hydrogeology; Groundwater; Groundwater management and use; Environment; Land use and industry types; and Scientific stimulus. The Late Carboniferous to Late Triassic Tasmania Basin covers approximately 30,000 square kilometres of onshore Tasmania. The basin contains up to 1500 m of mostly flat-lying sedimentary rocks, and these are divided into two distinct lithostratigraphic units, the Lower and the Upper Parmeener Supergroup. The Lower Parmeener Supergroup comprises Late Carboniferous to Permian rocks that mainly formed in marine environments. The most common rock types in this unit are mudstone, siltstone and sandstone, with less common limestone, conglomerate, coal, oil shale and tillite. The Upper Parmeener Supergroup consists predominantly of non-marine rocks, typically formed in fluvial and lacustrine environments. Common rock types include sandstone, siltstone, mudstone and minor basalt layers. Post-deposition the rocks of the Parmeener Supergroup experienced several major geological events, including the widespread intrusion of tholeiitic dolerite magma during the Middle Jurassic.