The Wilsons Promontory bathymetry survey was acquired by Deakin University Marine Mapping lab onboard the M/V Yolla from 9 – 18 April and 27 May to 10 June 2013 using a Kongsberg EM2040c. This survey was part of a Parks Victoria project to better understand the habitats and associated biodiversity of Wilsons Promontory Marine National Park. The survey was led by Dr. Daniel Ierodiaconou (Deakin University). This dataset contains a 2.5m-resolution 32-bit floating point GeoTIFF file of the bathymetry in the study area, derived from the processed EM2040C bathymetry data, using CARIS HIPS and SIPS software. A detailed report on the survey is provided in: Young M, Porskamp P, Murfitt S, Wines S, Tinkler P, Bursic, J., Allan B, Howe S, Whitmarsh S, Pocklington J, Ierodiaconou D 2022. Baseline habitat mapping and enhanced monitoring trials of subtidal and intertidal reef habitats in Victoria’s marine national parks and sanctuaries. Parks Victoria Technical Series 116. This dataset is not to be used for navigational purposes. This dataset is published with the permission of the CEO, Geoscience Australia.

This resource contains multibeam bathymetry data for the continental shelf area of Flinders Commonwealth Marine Reserve, northeast Tasmania. Multibeam data were collected by Geoscience Australia and University of Tasmania during the period of 24 June - 07 July 2012 onboard the RV Challenger using a Kongsberg EM3002 multibeam sonar. The Flinders Marine Reserve survey was led by Dr. Scott Nichol (Geoscience Australia). The survey was conducted to broadly classify the seabed into hard (bedrock reef), soft (sedimentary) and mixed substrate types at select locations across the shelf. The dataset contains a 2m-resolution, 32-bit floating point GeoTIFF file of the bathymetry in the study area derived from the processed EM3002 bathymetry data, using Caris HIPS and SIPS software. Attribution statement: Data was sourced from the NERP Marine Biodiversity Hub. The Marine Biodiversity Hub is supported through funding from the Australian Government's National Environmental Research Program (NERP), administered by the Department of Sustainability, Environment, Water, Population and Communities (DSEWPAC). This dataset is not to be used for navigational purposes. This dataset is published with the permission of the CEO, Geoscience Australia.

The Banks Strait bathymetry survey was acquired for the Australian Hydrographic Office (AHO) onboard the M/V Offshore Solution and SMB Indigo during the period 20 January – 17 July 2021. The survey was contracted as part of the HydroScheme Industry Partnership Program (HIPP). The survey area encompasses Banks Strait located between the Northern Tasmanian coast and the Furneaux Group (including Cape Barren, Clarke and Flinders Islands). Bathymetry data was acquired using a Kongsberg EM2040-04 MKII and EM 2040P multibeam sonar and processed using QPS Qimera V2.0.1. The dataset was then exported to GeoTIFF using CARIS HIPS and SIPS software. This dataset contains a 30m-resolution 32-bit floating point GeoTIFF file. This dataset is not to be used for navigational purposes.

The Southeast Tasmania and Southern Macquarie Ridge Bathymetry dataset was acquired by the Australian Geological Survey Organisation (AGSO) (Geoscience Australia predecessor) during the AUSTREA-2 marine survey undertaken from 15 January - 9 February 2000 onboard the French Oceanographic and Geoscience Research Vessel N/O L'Atalante using a Simrad EM12D multibeam sonar system. The survey was completed as part of the work to map the foot-of-slope position to support definition of Australia's legal Continental Shelf under the United Nations Convention on the Law of the Sea. This dataset contains 120m-, 160m-, 250m-, 280m-, 300m-, 360m- and 440m-resolution 32-bit floating point GeoTIFF files of the bathymetry in the survey area, derived from the processed EM12D bathymetry data, using CARIS HIPS and SIPS software. This dataset is not to be used for navigational purposes.

This resource includes bathymetry data acquired during the HMAS Canberra bathymetry survey (GA-4880). Data was acquired by Deakin University on the 3rd of November 2020 onboard the M/V Yolla using a Kongsberg EM2040c sonar system. The objective of this survey was to map the HMAS Canberra wreck. The HMAS Canberra wreck is in Bass Strait between Port Lonsdale and Barwon Heads, Victoria, Australia. This dataset contains a 0.5 m resolution 32-bit geotiff of the HMAS Canberra shipwreck survey area produced from the processed EM2040c bathymetry data of the survey area using CARIS HIPS and SIPS software. This dataset is not to be used for navigational purposes. This dataset is published with the permission of the CEO, Geoscience Australia.

DEA Surface Reflectance Nadir corrected Bidirectional reflectance distribution function Adjusted Reflectance Terrain corrected (NBART) Sentinel-2B Multispectral Instrument (MSI) is part of a suite of Digital Earth Australia's (DEA) Surface Reflectance datasets that represent the vast archive of images captured by the US Geological Survey (USGS) Landsat and European Space Agency (ESA) Sentinel-2 satellite programs, which have been validated, calibrated, and adjusted for Australian conditions — ready for easy analysis. <b>Background:</b> This is a sub-product of DEA Surface Reflectance (Sentinel-2B MSI). See the parent product for more information. Reflectance data at top of atmosphere (TOA) collected by Sentinel-2B MSI sensors can be affected by atmospheric conditions, sun position, sensor view angle, surface slope and surface aspect. Surfaces with varying terrain can introduce inconsistencies to optical satellite images through irradiance and bidirectional reflectance distribution function (BRDF) effects. For example, slopes facing the sun appear brighter compared with those facing away from the sun. Likewise, many surfaces on Earth are anisotropic in nature, so the signal picked up by a satellite sensor may differ depending on the sensor’s position. These need to be reduced or removed to ensure the data is consistent and can be compared over time. <b>What this product offers:</b> This product takes Sentinel-2B MSI imagery captured over the Australian continent and corrects the inconsistencies across the land and coastal fringe. It achieves this using Nadir corrected Bi-directional reflectance distribution function Adjusted Reflectance (NBAR). In addition, this product has a terrain illumination correction applied to correct for varying terrain. The resolution is a 10/20/60 m grid based on the ESA level 1C archive. <b>Applications:</b> - The development of derivative products to monitor land, inland waterways and coastal features, such as: - urban growth - coastal habitats - mining activities - agricultural activity (e.g. pastoral, irrigated cropping, rain-fed cropping) - water extent - The development of refined information products, such as: - areal units of detected surface water - areal units of deforestation - yield predictions of agricultural parcels - Compliance surveys - Emergency management

DEA Surface Reflectance OA (Sentinel-2B MSI) is part of a suite of Digital Earth Australia's (DEA) Surface Reflectance datasets that represent the vast archive of images captured by the US Geological Survey (USGS) Landsat and European Space Agency (ESA) Sentinel-2 satellite programs, which have been validated, calibrated, and adjusted for Australian conditions — ready for easy analysis. <b>Background:</b> This is a sub-product of Geoscience Australia Sentinel-2B MSI Analysis Ready Data Collection 3 - DEA Surface Reflectance (Sentinel-2B MSI). See the parent product for more information. The contextual information related to a dataset is just as valuable as the data itself. This information, also known as data provenance or data lineage, includes details such as the data’s origins, derivations, methodology and processes. It allows the data to be replicated and increases the reliability of derivative applications. Data that is well-labelled and rich in spectral, spatial and temporal attribution can allow users to investigate patterns through space and time. Users are able to gain a deeper understanding of the data environment, which could potentially pave the way for future forecasting and early warning systems. The surface reflectance data produced by NBART requires accurate and reliable data provenance. Attribution labels, such as the location of cloud and cloud shadow pixels, can be used to mask out these particular features from the surface reflectance analysis, or used as training data for machine learning algorithms. Additionally, the capacity to automatically exclude or include pre-identified pixels could assist with emerging multi-temporal and machine learning analysis techniques. <b>What this product offers:</b> This product contains a range of pixel-level observation attributes (OA) derived from satellite observation, providing rich data provenance: - null pixels - clear pixels - cloud pixels - cloud shadow pixels - snow pixels - water pixels - spectrally contiguous pixels - terrain shaded pixels It also features the following pixel-level information pertaining to satellite, solar and sensing geometries: - solar zenith - solar azimuth - satellite view - incident angle - exiting angle - azimuthal incident - azimuthal exiting - relative azimuth - timedelta

As part of the East Tennant National Drilling Initiative campaign, ten stratigraphic boreholes were drilled in the vicinity of the Barkly Roadhouse, east of Tennant Creek, in the Northern Territory. These holes were designed to test stratigraphic, structural and mineral systems questions in the completely buried and poorly-understood East Tennant region. Drilling was completed during September to December 2020 and was undertaken by MinEx CRC on behalf of Geoscience Australia. This report outlines basic borehole targeting rationale, borehole metadata, and analyses performed immediately following drilling to accompany data available through the Geoscience Australia portal.

Geoscience Australia is planning a deep crustal reflection seismic survey in South Australia, New South Wales and Victoria as part of the Exploring for the Future program