The service contains the Australian Coastal Geomorphology Smartline, used to support a national coastal risk assessment. The 'Smartline' is a representation of the geomorphic features located within 500m of the shoreline, denoted by the high water mark. The service includes geomorphology themes and stability classes.

A high-resolution multibeam echosounder (MBES) dataset covering over 279,000 km2 was acquired in the southeastern Indian Ocean to assist the search for Malaysia Airlines Flight 370 (MH370) that disappeared on 8 March 2014. The data provided an essential geospatial framework for the search and is the first large-scale coverage of MBES data in this region. Here we report on geomorphic analyses of the new MBES data, including a comparison with the Global Seafloor Geomorphic Features Map (GSFM) that is based on coarser resolution satellite altimetry data, and the insights the new data provide into geological processes that have formed and are currently shaping this remote deepsea area. Our comparison between the new MBES bathymetric model and the latest global topographic/bathymetric model (SRTM15_plus) reveals that 62% of the satellite-derived data points for the study area are comparable with MBES measurements within the estimated vertical uncertainty of the SRTM15_plus model (± 100 m). However, > 38% of the SRTM15_plus depth estimates disagree with the MBES data by > 100 m, in places by up to 1900 m. The new MBES data show that abyssal plains and basins in the study area are significantly more rugged than their representation in the GSFM, with a 20% increase in the extent of hills and mountains. The new model also reveals four times more seamounts than presented in the GSFM, suggesting more of these features than previously estimated for the broader region. This is important considering the ecological significance of high-relief structures on the seabed, such as hosting high levels of biodiversity. Analyses of the new data also enabled sea knolls, fans, valleys, canyons, troughs, and holes to be identified, doubling the number of discrete features mapped. Importantly, mapping the study area using MBES data improves our understanding of the geological evolution of the region and reveals a range of modern sedimentary processes. For example, a large series of ridges extending over approximately 20% of the mapped area, in places capped by sea knolls, highlight the preserved seafloor spreading fabric and provide valuable insights into Southeast Indian Ridge seafloor spreading processes, especially volcanism. Rifting is also recorded along the Broken Ridge – Diamantina Escarpment, with rift blocks and well-bedded sedimentary bedrock outcrops discernible down to 2400 m water depth. Modern ocean floor sedimentary processes are documented by sediment mass transport features, especially along the northern margin of Broken Ridge, and in pockmarks (the finest-scale features mapped), which are numerous south of Diamantina Trench and appear to record gas and/or fluid discharge from underlying marine sediments. The new MBES data highlight the complexity of the search area and serve to demonstrate how little we know about the vast areas of the ocean that have not been mapped with MBES. The availability of high-resolution and accurate maps of the ocean floor can clearly provide new insights into the Earth's geological evolution, modern ocean floor processes, and the location of sites that are likely to have relatively high biodiversity. <b>Citation:</b> Kim Picard, Brendan P. Brooke, Peter T. Harris, Paulus J.W. Siwabessy, Millard F. Coffin, Maggie Tran, Michele Spinoccia, Jonathan Weales, Miles Macmillan-Lawler, Jonah Sullivan, Malaysia Airlines flight MH370 search data reveal geomorphology and seafloor processes in the remote southeast Indian Ocean, <i>Marine Geology</i>, Volume 395, 2018, Pages 301-319, ISSN 0025-3227, https://doi.org/10.1016/j.margeo.2017.10.014.

This OGC Web Feature Service (WFS) contains geospatial seabed morphology and geomorphology information for Cairns Seamount within the Coral Sea Marine Park and are intended for use by marine park managers, regulators, the general public and other stakeholders. This web service uses the data product published in McNeil et al. (2023); eCat Record 147998.

<div>This data product contains geospatial seabed morphology and geomorphology information for the Beagle Marine Park and is intended for use by marine park managers, regulators, the general public and other stakeholders. A nationally consistent two-part (two-step) seabed geomorphology classification system was used to map and classify the distribution of key seabed features. </div><div><br></div><div>In step 1, semi-automated GIS mapping tools (GA-SaMMT; Huang et al., 2022; eCat Record 146832) were applied to bathymetry digital elevation models (DEM) in a GIS environment (ESRI ArcGIS Pro) to map polygon extents (topographic high, low, and planar) and quantitatively characterise their geometries. The geometric attributes were then used to classify each shape into discrete Morphology Feature types (Part 1: Dove et al., 2020; eCat Record 144305). In step 2, the seabed geomorphology was interpreted by applying additional datasets and domain knowledge to inform their geomorphic characterisation (Part 2: Nanson et al., 2023; eCat Record 147818). Where available, backscatter intensity, seabed imagery, seabed sediment samples and sub-bottom profiles supplemented the bathymetry DEM and morphology classifications to inform the geomorphic interpretations.</div><div><br></div><div>The Beagle Marine Park seabed morphology and geomorphology features were informed by a post survey report (Barrett et al., 2021). Seabed units were classified at multiple resolutions that were informed by the underlying bathymetry: </div><div><br></div><div>· A broad scale layer represents features that were derived from a 30 m horizontal resolution compilation DEM (Beaman et al 2022; eCat Record 147043). </div><div>· A series of medium and fine scale feature layers were derived from individual 1 m horizontal resolution DEMs (Nichol et al., 2019; eCat Record 130301). </div><div><br></div><div>The data product and application schema are fully described in the accompanying Data Product Specification. </div><div><br></div><div><em>Barrett, N, Monk, J., Nichol, S., Falster, G., Carroll, A., Siwabessy, J., Deane, A., Nanson, R., Picard, K., Dando, N., Hulls, J., and Evans, H. (2021). Beagle Marine Park Post Survey Report: South-east Marine Parks Network. Report to the National Environmental Science Program, Marine Biodiversity Hub. University of Tasmania.</em></div><div><br></div><div><em>Beaman, R.J. (2022). High-resolution depth model for the Bass Strait -30 m. <a href=https://dx.doi.org/10.26186/147043>https://dx.doi.org/10.26186/147043</a>, GA eCat Record 147043.&nbsp;</em></div><div><br></div><div><em>Dove, D., Nanson, R., Bjarnadóttir, L. R., Guinan, J., Gafeira, J., Post, A., Dolan, Margaret F.J., Stewart, H., Arosio, R., Scott, G. (2020). A two-part seabed geomorphology classification scheme (v.2); Part 1: morphology features glossary. Zenodo. <a href=https://doi.org/10.5281/zenodo.40752483>https://doi.org/10.5281/zenodo.4075248</a>; GA eCat Record 144305&nbsp;</em></div><div><br></div><div><em>Huang, Z., Nanson, R. and Nichol, S. (2022). Geoscience Australia's Semi-automated Morphological Mapping Tools (GA-SaMMT) for Seabed Characterisation. Geoscience Australia, Canberra. <a href=https://dx.doi.org/10.26186/146832>https://dx.doi.org/10.26186/146832</a>; GA eCat Record 146832 </em></div><div><em>&nbsp;</em></div><div><em>Nanson, R., Arosio, R., Gafeira, J., McNeil, M., Dove, D., Bjarnadóttir, L., Dolan, M., Guinan, J., Post, A., Webb, J., Nichol, S. (2023). A two-part seabed geomorphology classification scheme; Part 2: Geomorphology classification framework and glossary (Version 1.0) (1.0). Zenodo.<a href=https://doi.org/10.5281/zenodo.7804019>https://doi.org/10.5281/zenodo.7804019</a>; GA eCat Record 147818&nbsp;</em></div>

This data product contains seabed morphology and geomorphology information for a subset area of Zeehan Marine Park. A nationally consistent seabed geomorphology classification scheme was used to map and classify the distribution of key seabed features. The Zeehan Marine Park seabed morphology and geomorphology maps were derived from a 2 m horizontal resolution bathymetry DEM compiled from a multibeam survey undertaken for Parks Australia by the University of Tasmania. Semi-automated GIS mapping tools (GA-SaMMT); (Huang et. al., 2022; eCat Record 146832) were applied to a bathymetry digital elevation model (DEM) in a GIS environment (ESRI ArcGIS Pro) to map polygon extents (topographic high, low, and planar) and to quantitatively characterise polygon geometries. Geometric attributes were then used to classify each shape into discrete Morphology Feature types (Dove et. al., 2020; eCat Record 144305). Seabed geomorphology features were interpreted by applying additional datasets and domain knowledge to inform their geomorphic characterisation (Nanson et. al., 2023; eCat Record 147818). Where available, backscatter intensity, seabed imagery, and survey reports supplemented the bathymetry DEM and morphology classifications to inform the geomorphic interpretations. The data product and classification schema are fully described in the accompanying Data Product Specification. Dove, D., Nanson, R., Bjarnadóttir, L. R., Guinan, J., Gafeira, J., Post, A., Dolan, Margaret F.J., Stewart, H., Arosio, R., Scott, G. (2020). A two-part seabed geomorphology classification scheme (v.2); Part 1: morphology features glossary. Zenodo. https://doi.org/10.5281/zenodo.4075248; Huang, Z., Nanson, R., Nichol, S. 2022. Geoscience Australia's Semi-automated Morphological Mapping Tools (GA-SaMMT) for Seabed Characterisation. Geoscience Australia, Canberra. https://dx.doi.org/10.26186/146832 Nanson, R., Arosio, R., Gafeira, J., McNeil, M., Dove, D., Bjarnadóttir, L., Dolan, M., Guinan, J., Post, A., Webb, J., Nichol, S. (2023). A two-part seabed geomorphology classification scheme; Part 2: Geomorphology classification framework and glossary (Version 1.0) (1.0). Zenodo. https://doi.org/10.5281/zenodo.7804019

This ESRI map (web) service contains geospatial seabed morphology and geomorphology information for the Beagle Marine Park (South-east Marine Parks Network) and is intended for use by marine park managers, regulators and other stakeholders. This web service uses the data product published in Nanson et al. (2023); eCat Record 147976.

This ESRI map (web) service contains seabed morphology and geomorphology information for a subset area of Zeehan Marine Park (South-east Marine Parks Network) and is intended for use by marine park managers, regulators and other stakeholders. This web service uses the data product published in McNeil et al. (2023); eCat Record 148620.

This ESRI map (web) service contains geospatial seabed morphology and geomorphology information for Flinders Reefs within the Coral Sea Marine Park and are intended for use by marine park managers, regulators, the general public and other stakeholders. This web service uses the data product published in McNeil et al. (2023); eCat Record 147998.

<div>Antarctic Specially Protected Area (ASPA) No. 143 Marine Plain in East Antarctica is valued for its “outstanding fossil fauna and rare geological features” (ATCM XXXVI 2013) but scientific evidence to guide its protection is sparse. The fragile Sørsdal Formation contains diverse marine vertebrate and invertebrate fauna, preserving a unique record of Antarctic environmental conditions in the Pliocene (Quilty et al. 2000). Strict permitting and access conditions are in place for the ASPA but evidence-based guidance for decision makers on how to assess the risks to the values of the ASPA is minimal. </div><div><br></div><div>We will present the results of geological mapping, aerial imagery collection, and field observations from Marine Plain to consider the impact of foot traffic and helicopter access to the ASPA and provide options for future monitoring and management. Surficial geology of the broader Vestfold Hills (a 400 km2 ice-free region in East Antarctica) was mapped at 1:2000 scale using aerial photos, satellite imagery, a digital elevation model, and field observations (McLennan et al. 2021, McLennan et al. 2022). From this regional-scale mapping, we show that the glacial sediments draping bedrock hills in Marine Plain are typical of the Vestfold Hills region and do not represent the vulnerable Sørsdal Formation or the thermokarst features considered unique to the ASPA. Polygons outlining recommended landing areas for helicopters in the Marine Plain ASPA were derived using a buffer around the Sørsdal Formation, lakes, away from the edge of steep bedrock slopes, and higher that the limit of Pliocene marine inundation. Our results show how foundational datasets like landform and geomorphology mapping can provide robust evidence to support informed ASPA management. </div><div><br></div><div>ATCM XXXIV, 2013. Measure 9. Antarctic Specially Protected Area No 143 (Marine Plain, Mule Peninsula, Vestfold Hills, Princess Elizabeth Land): Revised Management Plan</div><div>McLennan S. M., Haiblen A. M. & Smith J. 2021 Surficial geology of the Vestfold Hills, East Antarctica. First ed. Canberra, Australia: Geoscience Australia. https://pid.geoscience.gov.au/dataset/ga/145535</div><div>McLennan S. M., Haiblen, A.M. & Smith, J. 2022 Surficial geology of the Vestfold Hills, East Antarctica, GIS dataset. Canberra, Australia: Geoscience Australia. https://pid.geoscience.gov.au/dataset/ga/145536</div><div>Quilty P. G., Lirio J. M. & Jillett D. 2000 Stratigraphy of the Pliocene Sørsdal Formation, Marine Plain, Vestfold Hills, East Antarctica, <em>Antarctic Science</em>, vol. 12, no. 2, pp. 205-216. Presented at the SCAR Open Science Conference 2024

<div>Australia’s vast marine estate offers high-quality offshore wind resources that have the potential to help produce the renewable energy that Australia will need to achieve its net zero emissions targets. Mature offshore renewable industries in Europe have demonstrated that marine geoscience is critical for supporting the sustainable development, installation, operation and decommissioning of offshore wind farms. Geoscience information is used to design targeted seabed surveys and identify areas suitable for offshore infrastructure, thereby reducing uncertainty and investment risk. These data also provide important regional context for environmental impact assessments and informs evidence-based decisions consistent with government policies and regulations. Effective geomorphic characterisation of the seabed requires a standardised, multi-scalar and collaborative approach to produce definitive geomorphology maps that can support these applications. These maps synthesise interpretations of bathymetry, shallow geology, sedimentology and ecology data, to illustrate the distribution and diversity of seabed features, compositions and processes, including sediment dynamics and seabed stability. We present mapped examples demonstrating the utility of a nationally consistent seabed geomorphology mapping scheme (developed in collaboration with European agencies), for application to a broad range of geographic settings and policy-needs, including the sustainable development of offshore renewable energy in Australia. Presented at the 2024 AMSA-NZMSS Conference Hobart Tas