Data

NSW seabed landforms derived from marine lidar data 2022

data.nsw.gov.au
NSW Department of Climate Change, Energy, the Environment and Water (Owned by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=http://data.nsw.gov.au/data/dataset/25babb7a-f676-4fd1-97a6-8278ec9c2afb&rft.title=NSW seabed landforms derived from marine lidar data 2022&rft.identifier=nsw-seabed-landforms-derived-from-marine-lidar-data-2022&rft.publisher=data.nsw.gov.au&rft.description=Data Quality Statement - Download Package Seabed landforms derived from marine lidar data - 01 - Tweed to Yamba - Download Package Seabed landforms derived from marine lidar data - 02 - Yamba to Arakoon - Download Package Seabed landforms derived from marine lidar data - 03 - Arakoon to Forster - Download Package Seabed landforms derived from marine lidar data - 04 - Forster to Newcastle - Download Package Seabed landforms derived from marine lidar data - 05 - Newcastle to Broken Bay - Download Seabed landforms derived from marine lidar data - 06 - Broken Bay to Cronulla - Download Package Seabed landforms derived from marine lidar data - 07 - Cronulla to Jervis Bay - Download Package Seabed landforms derived from marine lidar data - 08 - Jervis Bay to Batemans Bay - Download Package Seabed landforms derived from marine lidar data - 09 - Batemans Bay to Cape Howe - Storymap for seabed landforms - Mapservice - NSW seabed landforms derived from marine lidar data 2022 - Seabed landform features were classified from the New South Wales statewide marine lidar dataset, acquired in 2018 by Fugro Pty Ltd on behalf of the Department of Planning and Environment (data available for download on SEED, see below). Seabed features were extracted from the marine lidar data and classified into seabed landform classes. Classified landform features include reefs, plains, peaks, scarps, depressions and channels. These landforms capture variation in the shape and structure of reef outcrops along the NSW coastal and nearshore environment. \r\nFeatures were classified using the Seabed Landforms Classification Toolset developed for ArcGIS by the Coastal and Marine Unit, DPE (Linklater et al. 2023) which are publicly available on SEED (https://datasets.seed.nsw.gov.au/dataset/seabed-landforms-classification-toolset) and GitHub (https://github.com/LinklaterM/Seabed-Landforms-Classification-Toolset/). \r\n\r\nThe statewide dataset is provided as ArcGIS shapefiles divided into 9 segments along the coast. The data covers 4060 km2, extending from the coastline (0 m AHD) to a maximum of 50 m depth, reaching an average depth of 35 m. Data coverage extends a maximum distance of 9 km offshore, with coverage extending on average 3 km offshore.\r\n\r\nThis dataset provides an understanding of the extent and distribution of submerged reefs along the NSW coast, which contributes fundamental baseline information for managers, users and custodians of the marine environment. \r\n\r\nThis dataset was funded by the Marine Estate Management Authority and NSW Climate Change Fund through the Coastal Management Funding Package. \r\n\r\nPlease cite this dataset as: Linklater, M., Morris, B., Kinsela, M., Ingleton, T. and Hanslow, D. (2022), Exploring patterns of reef distribution along the southeast Australian coast using marine lidar data. Manuscript in preparation. \r\n\r\nNSW statewide marine lidar data – available for download on SEED: https://datasets.seed.nsw.gov.au/dataset/marine-lidar-topo-bathy-2018\r\n\r\nLinklater, M., Morris, B.D. and Hanslow, D.J. (2023), Classification of seabed landforms on continental and island shelves. Frontiers in Marine Science, 10, https://www.frontiersin.org/articles/10.3389/fmars.2023.1258556/full.\r\n\r\nLinklater, M., Ingleton, T. C., Kinsela, M. A., Morris, B. D., Allen, K. M., Sutherland, M. D., & Hanslow, D. J. 2019. Techniques for classifying seabed morphology and composition on a subtropical-temperate continental shelf. Geosciences, 9(3), 141.&rft.creator=NSW Department of Climate Change, Energy, the Environment and Water&rft.date=2026&rft.coverage=150.17,-37.55 150.17,-28.13 153.73,-28.13 153.73,-37.55 150.17,-37.55&rft.coverage=150.17,-37.55 150.17,-28.13 153.73,-28.13 153.73,-37.55 150.17,-37.55&rft_rights=Creative Commons Attribution http://www.opendefinition.org/licenses/cc-by&rft.type=dataset&rft.language=English Access the data

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Creative Commons Attribution
http://www.opendefinition.org/licenses/cc-by

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Brief description

Seabed landform features were classified from the New South Wales statewide marine lidar dataset, acquired in 2018 by Fugro Pty Ltd on behalf of the Department of Planning and Environment (data available for download on SEED, see below). Seabed features were extracted from the marine lidar data and classified into seabed landform classes. Classified landform features include reefs, plains, peaks, scarps, depressions and channels. These landforms capture variation in the shape and structure of reef outcrops along the NSW coastal and nearshore environment.
Features were classified using the Seabed Landforms Classification Toolset developed for ArcGIS by the Coastal and Marine Unit, DPE (Linklater et al. 2023) which are publicly available on SEED (https://datasets.seed.nsw.gov.au/dataset/seabed-landforms-classification-toolset) and GitHub (https://github.com/LinklaterM/Seabed-Landforms-Classification-Toolset/).

The statewide dataset is provided as ArcGIS shapefiles divided into 9 segments along the coast. The data covers 4060 km2, extending from the coastline (0 m AHD) to a maximum of 50 m depth, reaching an average depth of 35 m. Data coverage extends a maximum distance of 9 km offshore, with coverage extending on average 3 km offshore.

This dataset provides an understanding of the extent and distribution of submerged reefs along the NSW coast, which contributes fundamental baseline information for managers, users and custodians of the marine environment.

This dataset was funded by the Marine Estate Management Authority and NSW Climate Change Fund through the Coastal Management Funding Package.

Please cite this dataset as: Linklater, M., Morris, B., Kinsela, M., Ingleton, T. and Hanslow, D. (2022), Exploring patterns of reef distribution along the southeast Australian coast using marine lidar data. Manuscript in preparation.

NSW statewide marine lidar data – available for download on SEED: https://datasets.seed.nsw.gov.au/dataset/marine-lidar-topo-bathy-2018

Linklater, M., Morris, B.D. and Hanslow, D.J. (2023), Classification of seabed landforms on continental and island shelves. Frontiers in Marine Science, 10, https://www.frontiersin.org/articles/10.3389/fmars.2023.1258556/full.

Linklater, M., Ingleton, T. C., Kinsela, M. A., Morris, B. D., Allen, K. M., Sutherland, M. D., & Hanslow, D. J. 2019. Techniques for classifying seabed morphology and composition on a subtropical-temperate continental shelf. Geosciences, 9(3), 141.

Full description

Data Quality Statement -
Download Package Seabed landforms derived from marine lidar data - 01 - Tweed to Yamba -
Download Package Seabed landforms derived from marine lidar data - 02 - Yamba to Arakoon -
Download Package Seabed landforms derived from marine lidar data - 03 - Arakoon to Forster -
Download Package Seabed landforms derived from marine lidar data - 04 - Forster to Newcastle -
Download Package Seabed landforms derived from marine lidar data - 05 - Newcastle to Broken Bay -
Download Seabed landforms derived from marine lidar data - 06 - Broken Bay to Cronulla -
Download Package Seabed landforms derived from marine lidar data - 07 - Cronulla to Jervis Bay -
Download Package Seabed landforms derived from marine lidar data - 08 - Jervis Bay to Batemans Bay -
Download Package Seabed landforms derived from marine lidar data - 09 - Batemans Bay to Cape Howe -
Storymap for seabed landforms -
Mapservice - NSW seabed landforms derived from marine lidar data 2022 -

This dataset is part of a larger collection

Click to explore relationships graph

150.17,-37.55 153.73,-37.55 153.73,-28.13 150.17,-28.13 150.17,-37.55

151.95,-32.84

150.17,-37.55 153.73,-37.55 153.73,-28.13 150.17,-28.13 150.17,-37.55

151.95,-32.84

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Identifiers
ACN 633 798 857