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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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  "license_id": "cc-by",
            
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  "metadata_modified": "2023-08-28T01:52:13.697989",
            
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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 
            
29
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 
            
30
available for download on SEED, see below). Seabed features were 
30
available for download on SEED, see below). Seabed features were 
            
31
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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    "approval_status": "approved",
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    "approval_status": "approved",
            
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    "created": "2018-06-15T18:43:57.383780",
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    "created": "2018-06-15T18:43:57.383780",
            
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    "description": "DPE is the principal government agency responsible 
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    "description": "DPE is the principal government agency responsible 
            
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for driving sustainable growth in NSW.\r\n\r\nDPE works closely with 
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for driving sustainable growth in NSW.\r\n\r\nDPE works closely with 
            
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local government, stakeholders and the community in the areas of 
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local government, stakeholders and the community in the areas of 
            
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long-term regional planning, well-located housing and employment land, 
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long-term regional planning, well-located housing and employment land, 
            
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state significant development proposals, protection of the natural 
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state significant development proposals, protection of the natural 
            
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environment and caring for culture, heritage and Aboriginal 
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environment and caring for culture, heritage and Aboriginal 
            
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country.\r\nIn collaborating with government agencies, DPE aims to 
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country.\r\nIn collaborating with government agencies, DPE aims to 
            
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promote greater community and stakeholder consultation, integrate land 
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promote greater community and stakeholder consultation, integrate land 
            
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use planning and infrastructure provision, deliver development 
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use planning and infrastructure provision, deliver development 
            
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assessments for major development and infrastructure projects and 
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assessments for major development and infrastructure projects and 
            
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guide the policies and strategies for land use, heritage and 
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guide the policies and strategies for land use, heritage and 
            
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conservation.\r\n\r\nDPE\u2019s community initiatives include raising 
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conservation.\r\n\r\nDPE\u2019s community initiatives include raising 
            
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the standard of building and design, releasing new land for housing 
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the standard of building and design, releasing new land for housing 
            
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and employment, developing strategies which guide sustainable 
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and employment, developing strategies which guide sustainable 
            
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planning, protecting the environment through impact assessments, 
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planning, protecting the environment through impact assessments, 
            
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driving best practice in development approvals, publishing population 
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driving best practice in development approvals, publishing population 
            
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projections and analyses, assessing major projects of state 
84
projections and analyses, assessing major projects of state 
            
85
significance and managing key planning reforms.\r\n\r\nSee: 
85
significance and managing key planning reforms.\r\n\r\nSee: 
            
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http://www.planning.nsw.gov.au/\r\n",
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http://www.planning.nsw.gov.au/\r\n",
            
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lidar data - 01 - Tweed to Yamba",
            
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Broken Bay to Cronulla",
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Cronulla to Jervis Bay",
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      "name": "Mapservice - NSW seabed landforms derived from marine 
            
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lidar data 2022",
            
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  "temporal_coverage_to": "2018-01-12",
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  "temporal_coverage_to": "2018-01-12",
            
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  "title": "NSW seabed landforms derived from marine lidar data 2022",
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  "title": "NSW seabed landforms derived from marine lidar data 2022",
            
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}
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}