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v.au/dataset/nsw-seabed-landforms-derived-from-marine-lidar-data-2022"
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v.au/dataset/nsw-seabed-landforms-derived-from-marine-lidar-data-2022"
            
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  "name": "nsw-seabed-landforms-derived-from-marine-lidar-data-2022",
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  "name": "nsw-seabed-landforms-derived-from-marine-lidar-data-2022",
            
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  "notes": "Seabed landform features were classified from the New 
27
  "notes": "Seabed landform features were classified from the New 
            
28
South Wales statewide marine lidar dataset, acquired in 2018 by Fugro 
28
South Wales statewide marine lidar dataset, acquired in 2018 by Fugro 
            
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Pty Ltd on behalf of the Department of Planning and Environment (data 
29
Pty Ltd on behalf of the Department of Planning and Environment (data 
            
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available for download on SEED, see below). Seabed features were 
30
available for download on SEED, see below). Seabed features were 
            
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extracted from the marine lidar data and classified into seabed 
31
extracted from the marine lidar data and classified into seabed 
            
32
landform classes. Classified landform features include reefs, plains, 
32
landform classes. Classified landform features include reefs, plains, 
            
33
peaks, scarps, depressions and channels. These landforms capture 
33
peaks, scarps, depressions and channels. These landforms capture 
            
34
variation in the shape and structure of reef outcrops along the NSW 
34
variation in the shape and structure of reef outcrops along the NSW 
            
35
coastal and nearshore environment. \r\nFeatures were classified using 
35
coastal and nearshore environment. \r\nFeatures were classified using 
            
36
the Seabed Landforms Classification Toolset (ArcGIS), developed by DPE 
36
the Seabed Landforms Classification Toolset (ArcGIS), developed by DPE 
            
37
(Linklater & Morris, 2022) which applies the methodological framework 
37
(Linklater & Morris, 2022) which applies the methodological framework 
            
38
presented in Linklater et al. (2019). These classification tools will 
38
presented in Linklater et al. (2019). These classification tools will 
            
39
be made publicly available in due course. \r\n\r\nThe statewide 
39
be made publicly available in due course. \r\n\r\nThe statewide 
            
40
dataset is provided as ArcGIS shapefiles divided into 9 segments along 
40
dataset is provided as ArcGIS shapefiles divided into 9 segments along 
            
41
the coast. The data covers 4060 km2, extending from the coastline (0 m 
41
the coast. The data covers 4060 km2, extending from the coastline (0 m 
            
42
AHD) to a maximum of 50 m depth, reaching an average depth of 35 m. 
42
AHD) to a maximum of 50 m depth, reaching an average depth of 35 m. 
            
43
Data coverage extends a maximum distance of 9 km offshore, with 
43
Data coverage extends a maximum distance of 9 km offshore, with 
            
44
coverage extending on average 3 km offshore.\r\n\r\nThis dataset 
44
coverage extending on average 3 km offshore.\r\n\r\nThis dataset 
            
45
provides an understanding of the extent and distribution of submerged 
45
provides an understanding of the extent and distribution of submerged 
            
46
reefs along the NSW coast, which contributes fundamental baseline 
46
reefs along the NSW coast, which contributes fundamental baseline 
            
47
information for managers, users and custodians of the marine 
47
information for managers, users and custodians of the marine 
            
48
environment. \r\n\r\nThis dataset was funded by the Marine Estate 
48
environment. \r\n\r\nThis dataset was funded by the Marine Estate 
            
49
Management Authority and NSW Climate Change Fund through the Coastal 
49
Management Authority and NSW Climate Change Fund through the Coastal 
            
50
Management Funding Package. \r\n\r\nPlease cite this dataset as: 
50
Management Funding Package. \r\n\r\nPlease cite this dataset as: 
            
51
Linklater, M., Morris, B., Kinsela, M., Ingleton, T. and Hanslow, D. 
51
Linklater, M., Morris, B., Kinsela, M., Ingleton, T. and Hanslow, D. 
            
52
(2022), Exploring patterns of reef distribution along the southeast 
52
(2022), Exploring patterns of reef distribution along the southeast 
            
53
Australian coast using marine lidar data. Manuscript in preparation. 
53
Australian coast using marine lidar data. Manuscript in preparation. 
            
54
\r\n\r\nNSW statewide marine lidar data \u2013 available for download 
54
\r\n\r\nNSW statewide marine lidar data \u2013 available for download 
            
55
on SEED: 
55
on SEED: 
            
56
seed.nsw.gov.au/dataset/marine-lidar-topo-bathy-2018\r\n\r\nLinklater, 
56
seed.nsw.gov.au/dataset/marine-lidar-topo-bathy-2018\r\n\r\nLinklater, 
            
57
M. and Morris, B. (2022), Classification of seabed landforms on 
57
M. and Morris, B. (2022), Classification of seabed landforms on 
            
58
continental and island shelves. Manuscript in preparation. 
58
continental and island shelves. Manuscript in preparation. 
            
59
\r\n\r\nLinklater, M., Ingleton, T. C., Kinsela, M. A., Morris, B. D., 
59
\r\n\r\nLinklater, M., Ingleton, T. C., Kinsela, M. A., Morris, B. D., 
            
60
Allen, K. M., Sutherland, M. D., & Hanslow, D. J. 2019. Techniques for 
60
Allen, K. M., Sutherland, M. D., & Hanslow, D. J. 2019. Techniques for 
            
61
classifying seabed morphology and composition on a 
61
classifying seabed morphology and composition on a 
            
62
subtropical-temperate continental shelf. Geosciences, 9(3), 141.",
62
subtropical-temperate continental shelf. Geosciences, 9(3), 141.",
            
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    "description": "The Department of Planning, Industry and 
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    "description": "The Department of Planning, Industry and 
            
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Environment brings together specialists in urban and regional 
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Environment brings together specialists in urban and regional 
            
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planning, natural resources, industry, environment, Aboriginal and 
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planning, natural resources, industry, environment, Aboriginal and 
            
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Tweed to Yamba",
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Tweed to Yamba",
            
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Yamba to Arakoon",
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Yamba to Arakoon",
            
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      "name": "Seabed landforms derived from marine lidar data - 03 - 
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      "name": "Seabed landforms derived from marine lidar data - 03 - 
            
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