Identification

Field	Value
Title	NSW seabed landforms derived from marine lidar data 2022
Abstract	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.
Resource locator
Show on SEED Web Map	Name: Show on SEED Web Map Protocol: WWW:DOWNLOAD-1.0-http--download Description: Display dataset on SEED's map Function: download
Data Quality Statement	Name: Data Quality Statement Protocol: WWW:DOWNLOAD-1.0-http--download Description: Data quality statement for NSW seabed landforms derived from marine lidar data 2021 Function: download
Download Package Seabed landforms derived from marine lidar data - 01 - Tweed to Yamba	Name: Download Package Seabed landforms derived from marine lidar data - 01 - Tweed to Yamba Protocol: WWW:DOWNLOAD-1.0-http--download Description: Data (Shapefile) Function: download
Download Package Seabed landforms derived from marine lidar data - 02 - Yamba to Arakoon	Name: Download Package Seabed landforms derived from marine lidar data - 02 - Yamba to Arakoon Protocol: WWW:DOWNLOAD-1.0-http--download Description: Data (Shapefile) Function: download
Download Package Seabed landforms derived from marine lidar data - 03 - Arakoon to Forster	Name: Download Package Seabed landforms derived from marine lidar data - 03 - Arakoon to Forster Protocol: WWW:DOWNLOAD-1.0-http--download Description: Data (Shapefile) Function: download
Download Package Seabed landforms derived from marine lidar data - 04 - Forster to Newcastle	Name: Download Package Seabed landforms derived from marine lidar data - 04 - Forster to Newcastle Protocol: WWW:DOWNLOAD-1.0-http--download Description: Data (Shapefile) Function: download
Download Package Seabed landforms derived from marine lidar data - 05 - Newcastle to Broken Bay	Name: Download Package Seabed landforms derived from marine lidar data - 05 - Newcastle to Broken Bay Protocol: WWW:DOWNLOAD-1.0-http--download Description: Data (Shapefile) Function: download
Download Seabed landforms derived from marine lidar data - 06 - Broken Bay to Cronulla	Name: Download Seabed landforms derived from marine lidar data - 06 - Broken Bay to Cronulla Protocol: WWW:DOWNLOAD-1.0-http--download Description: Data (Shapefile) Function: download
Download Package Seabed landforms derived from marine lidar data - 07 - Cronulla to Jervis Bay	Name: Download Package Seabed landforms derived from marine lidar data - 07 - Cronulla to Jervis Bay Protocol: WWW:DOWNLOAD-1.0-http--download Description: Data (Shapefile) Function: download
Download Package Seabed landforms derived from marine lidar data - 08 - Jervis Bay to Batemans Bay	Name: Download Package Seabed landforms derived from marine lidar data - 08 - Jervis Bay to Batemans Bay Protocol: WWW:DOWNLOAD-1.0-http--download Description: Data (Shapefile) Function: download
Download Package Seabed landforms derived from marine lidar data - 09 - Batemans Bay to Cape Howe	Name: Download Package Seabed landforms derived from marine lidar data - 09 - Batemans Bay to Cape Howe Protocol: WWW:DOWNLOAD-1.0-http--download Description: Data (Shapefile) Function: download
Storymap for seabed landforms	Name: Storymap for seabed landforms Protocol: WWW:DOWNLOAD-1.0-http--download Description: ArcGIS Storymap for NSW seabed landforms derived from marine lidar data 2022 Function: download
Mapservice - NSW seabed landforms derived from marine lidar data 2022	Name: Mapservice - NSW seabed landforms derived from marine lidar data 2022 Protocol: WWW:DOWNLOAD-1.0-http--download Description: ESRI REST Mapservice for NSW seabed landforms derived from marine lidar data 2022 Function: download
Unique resource identifier
Code	3f00d173-aa85-4e58-8dda-97948d772700
Presentation form	Map digital
Edition	1
Dataset language	English
Metadata standard
Name	ISO 19115
Edition	2016
Dataset URI	https://datasets.seed.nsw.gov.au/dataset/3f00d173-aa85-4e58-8dda-97948d772700
Purpose	To support coastal and marine research, planning and management
Status	Completed
Spatial representation
Type	vector
Spatial reference system
Code identifying the spatial reference system	4283
Spatial resolution	5 m

Classification of spatial data and services

Field	Value
Topic category

Keywords

Field	Value
Keyword set
keyword value	MARINE-Coasts MARINE MARINE-Reefs PHOTOGRAPHY-AND-IMAGERY-Remote-Sensing GEOSCIENCES-Geomorphology WATER ECOLOGY-Habitat ECOLOGY-Landscape
Originating controlled vocabulary
Title	ANZLIC Search Words
Reference date	2008-05-16
Geographic location
West bounding longitude	150.17
East bounding longitude	153.73
North bounding latitude	-37.55
South bounding latitude	-28.13
Vertical extent information
Minimum value	-100
Maximum value	2228
Coordinate reference system
Authority code	urn:ogc:def:cs:EPSG::
Code identifying the coordinate reference system	5711
Temporal extent
Begin position	2018-07-01
End position	N/A
Dataset reference date
Resource maintenance
Maintenance and update frequency	Not planned
Contact info
Contact position	Data Broker
Organisation name	NSW Department of Climate Change, Energy, the Environment and Water
Telephone number	131555
Email address	data.broker@environment.nsw.gov.au
Web address	https://www.nsw.gov.au/departments-and-agencies/dcceew
Responsible party role	pointOfContact

Quality and validity

Field	Value
Lineage	Statewide marine lidar data was collected along the NSW coast in 2018, with elevation data collected down to an average of 35 m depth. This dataset represents a classification of seabed landforms derived from this marine lidar data, which delineates the prominent seabed features observed. This classification defines areas of reefs, peaks (uppermost part of the reef surface), plains, depressions and channels (within the reef surface), and scarps (areas greater than 10 degrees slope). The statewide dataset is provided as ArcGIS shapefiles divided into 9 segments along the coast, covering 4060 km2 of NSW coastal waters. Features were classified using the Seabed Landforms Classification Toolset (ArcGIS), developed by DPE (Linklater & Morris, 2022) which applies the methodological framework presented in Linklater et al. (2019). In this classification approach, ruggedness (VRM, Walbridge et al. 2018), slope, finescale and broadscale Bathymetric Position Index (Slope Position, Evans et al. 2014) variables were derived from the marine lidar bathymetric dataset and used to characterise prominent features within the seascape. Procedures were implemented to reduce potential noise within the dataset and identify the full extent of reef outcrops. Manual editing was performed to separate inferred reef outcrops from soft sediment bedforms, with the resulting classification focused on identifying the presence, extent and character of submerged reef outcrops within the marine lidar dataset. The classification output was reviewed and edited by the data creator to capture observed and interpreted seabed features. The resulting layer was externally reviewed to ensure scientific rigour and data integrity. 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. and Morris, B. (2022), Classification of seabed landforms on continental and island shelves. Manuscript in preparation. 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. Walbridge, S., Slocum, N., Pobuda, M., Wright, D.J., 2018. Unified geomorphological analysis workflows with Benthic Terrain Modeler. Geosciences, 8(3), 94. Evans, J., Oakleaf, J., Cushman, S., 2014. An ArcGIS Toolbox for Surface Gradient and Geomorphometric Modeling, Version 2.0-0. Available online: https://github.com/jeffreyevans/GradientMetrics.

Field

Value

Lineage

Statewide marine lidar data was collected along the NSW coast in 2018, with elevation data collected down to an average of 35 m depth. This dataset represents a classification of seabed landforms derived from this marine lidar data, which delineates the prominent seabed features observed. This classification defines areas of reefs, peaks (uppermost part of the reef surface), plains, depressions and channels (within the reef surface), and scarps (areas greater than 10 degrees slope). The statewide dataset is provided as ArcGIS shapefiles divided into 9 segments along the coast, covering 4060 km2 of NSW coastal waters. Features were classified using the Seabed Landforms Classification Toolset (ArcGIS), developed by DPE (Linklater & Morris, 2022) which applies the methodological framework presented in Linklater et al. (2019). In this classification approach, ruggedness (VRM, Walbridge et al. 2018), slope, finescale and broadscale Bathymetric Position Index (Slope Position, Evans et al. 2014) variables were derived from the marine lidar bathymetric dataset and used to characterise prominent features within the seascape. Procedures were implemented to reduce potential noise within the dataset and identify the full extent of reef outcrops. Manual editing was performed to separate inferred reef outcrops from soft sediment bedforms, with the resulting classification focused on identifying the presence, extent and character of submerged reef outcrops within the marine lidar dataset. The classification output was reviewed and edited by the data creator to capture observed and interpreted seabed features. The resulting layer was externally reviewed to ensure scientific rigour and data integrity.

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. and Morris, B. (2022), Classification of seabed landforms on continental and island shelves. Manuscript in preparation.

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.

Walbridge, S., Slocum, N., Pobuda, M., Wright, D.J., 2018. Unified geomorphological analysis workflows with Benthic Terrain Modeler. Geosciences, 8(3), 94.

Evans, J., Oakleaf, J., Cushman, S., 2014. An ArcGIS Toolbox for Surface Gradient and Geomorphometric Modeling, Version 2.0-0. Available online: https://github.com/jeffreyevans/GradientMetrics.

Constraints related to access and use

Field	Value
Limitations on public access

Data Quality

Field	Value
Scope	dataset
DQ Topological Consistency
Explanation	ArcInfo was used to do a topological consistency check to detect flaws in the spatial data structure. No polygon overlaps were detected.
DQ Absolute External Positional Accuracy
Explanation	This dataset represents seabed features classified from 5 m cell size input bathymetry data, with no ground-truthing undertaken. Polygons smaller than 100 m2 were eliminayed. Due to the variability in sediment movement, precise feature boundaries can be variable over time.

Responsible organisations

Field	Value
Responsible party
Contact position	Data Broker
Organisation name	NSW Department of Climate Change, Energy, the Environment and Water
Telephone number	131555
Email address	data.broker@environment.nsw.gov.au
Web address	https://www.nsw.gov.au/departments-and-agencies/dcceew
Responsible party role	pointOfContact

Metadata on metadata

Field	Value
Metadata point of contact
Contact position	Data Broker
Organisation name	NSW Department of Climate Change, Energy, the Environment and Water
Telephone number	131555
Email address	data.broker@environment.nsw.gov.au
Web address	https://www.nsw.gov.au/departments-and-agencies/dcceew
Responsible party role	pointOfContact
Metadata date	2024-09-16T23:41:50.902638
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DQ Absolute External Positional Accuracy

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