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On November 17, 2023 at 3:32:38 PM +1100, National Native Title Tribunal:

Updated description of NSW seabed landforms derived from marine lidar data 2022 from
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 (ArcGIS), developed by DPE (Linklater & Morris, 2022) which applies the methodological framework presented in Linklater et al. (2019). These classification tools will be made publicly available in due course. 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. 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.
to
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.

Added resource Download Package Seabed landforms derived from marine lidar data - 03 - Arakoon to Forster to NSW seabed landforms derived from marine lidar data 2022

Added resource Download Package Seabed landforms derived from marine lidar data - 08 - Jervis Bay to Batemans Bay to NSW seabed landforms derived from marine lidar data 2022

Added resource Download Package Seabed landforms derived from marine lidar data - 01 - Tweed to Yamba to NSW seabed landforms derived from marine lidar data 2022

Added resource Mapservice - NSW seabed landforms derived from marine lidar data 2022 to NSW seabed landforms derived from marine lidar data 2022

Added resource Download Package Seabed landforms derived from marine lidar data - 07 - Cronulla to Jervis Bay to NSW seabed landforms derived from marine lidar data 2022

Added resource Download Package Seabed landforms derived from marine lidar data - 04 - Forster to Newcastle to NSW seabed landforms derived from marine lidar data 2022

Added resource Download Package Seabed landforms derived from marine lidar data - 05 - Newcastle to Broken Bay to NSW seabed landforms derived from marine lidar data 2022

Added resource Download Seabed landforms derived from marine lidar data - 06 - Broken Bay to Cronulla to NSW seabed landforms derived from marine lidar data 2022

Added resource Download Package Seabed landforms derived from marine lidar data - 09 - Batemans Bay to Cape Howe to NSW seabed landforms derived from marine lidar data 2022

Added resource Storymap for seabed landforms to NSW seabed landforms derived from marine lidar data 2022

Added resource Data Quality Statement to NSW seabed landforms derived from marine lidar data 2022

Added resource Download Package Seabed landforms derived from marine lidar data - 02 - Yamba to Arakoon to NSW seabed landforms derived from marine lidar data 2022

Deleted resource Mapservice - NSW seabed landforms derived from marine lidar data 2022 from NSW seabed landforms derived from marine lidar data 2022

Deleted resource Download Package Seabed landforms derived from marine lidar data - 04 - Forster to Newcastle from NSW seabed landforms derived from marine lidar data 2022

Deleted resource Download Package Seabed landforms derived from marine lidar data - 07 - Cronulla to Jervis Bay from NSW seabed landforms derived from marine lidar data 2022

Deleted resource Download Package Seabed landforms derived from marine lidar data - 05 - Newcastle to Broken Bay from NSW seabed landforms derived from marine lidar data 2022

Deleted resource Download Seabed landforms derived from marine lidar data - 06 - Broken Bay to Cronulla from NSW seabed landforms derived from marine lidar data 2022

Deleted resource Data Quality Statement from NSW seabed landforms derived from marine lidar data 2022

Deleted resource Download Package Seabed landforms derived from marine lidar data - 01 - Tweed to Yamba from NSW seabed landforms derived from marine lidar data 2022

Deleted resource Download Package Seabed landforms derived from marine lidar data - 08 - Jervis Bay to Batemans Bay from NSW seabed landforms derived from marine lidar data 2022

Deleted resource Download Package Seabed landforms derived from marine lidar data - 03 - Arakoon to Forster from NSW seabed landforms derived from marine lidar data 2022

Deleted resource Download Package Seabed landforms derived from marine lidar data - 02 - Yamba to Arakoon from NSW seabed landforms derived from marine lidar data 2022

Deleted resource Download Package Seabed landforms derived from marine lidar data - 09 - Batemans Bay to Cape Howe from NSW seabed landforms derived from marine lidar data 2022

Deleted resource Storymap for seabed landforms from NSW seabed landforms derived from marine lidar data 2022

              
    
          
          
        
        
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            27   "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 
            n 36 the Seabed Landforms Classification Toolset (ArcGIS), developed by DPE  n 36 the Seabed Landforms Classification Toolset developed for ArcGIS by 
            37 (Linklater & Morris, 2022) which applies the methodological framework  37 the Coastal and Marine Unit, DPE (Linklater et al. 2023) which are 
            38 presented in Linklater et al. (2019). These classification tools will  38 publicly available on SEED 
            39 be made publicly available in due course. \r\n\r\nThe statewide  39 asets.seed.nsw.gov.au/dataset/seabed-landforms-classification-toolset) 
            40 dataset is provided as ArcGIS shapefiles divided into 9 segments along  40 and GitHub 
            41 the coast. The data covers 4060 km2, extending from the coastline (0 m  41 tps://github.com/LinklaterM/Seabed-Landforms-Classification-Toolset/). 
            42 AHD) to a maximum of 50 m depth, reaching an average depth of 35 m.  42 \r\n\r\nThe statewide dataset is provided as ArcGIS shapefiles divided 
            43 Data coverage extends a maximum distance of 9 km offshore, with  43 into 9 segments along the coast. The data covers 4060 km2, extending 
            44 coverage extending on average 3 km offshore.\r\n\r\nThis dataset  44 from the coastline (0 m AHD) to a maximum of 50 m depth, reaching an 
            45 provides an understanding of the extent and distribution of submerged  45 average depth of 35 m. Data coverage extends a maximum distance of 9 
            46 reefs along the NSW coast, which contributes fundamental baseline  46 km offshore, with coverage extending on average 3 km 
            47 information for managers, users and custodians of the marine  47 offshore.\r\n\r\nThis dataset provides an understanding of the extent 
            48 environment. \r\n\r\nThis dataset was funded by the Marine Estate  48 and distribution of submerged reefs along the NSW coast, which 
            49 Management Authority and NSW Climate Change Fund through the Coastal  49 contributes fundamental baseline information for managers, users and 
            50 Management Funding Package. \r\n\r\nPlease cite this dataset as:  50 custodians of the marine environment. \r\n\r\nThis dataset was funded 
            51 by the Marine Estate Management Authority and NSW Climate Change Fund 
            52 through the Coastal Management Funding Package. \r\n\r\nPlease cite 
            51 Linklater, M., Morris, B., Kinsela, M., Ingleton, T. and Hanslow, D.  53 this dataset as: Linklater, M., Morris, B., Kinsela, M., Ingleton, T. 
            52 (2022), Exploring patterns of reef distribution along the southeast  54 and Hanslow, D. (2022), Exploring patterns of reef distribution along 
            53 Australian coast using marine lidar data. Manuscript in preparation.  55 the southeast Australian coast using marine lidar data. Manuscript in 
            54 \r\n\r\nNSW statewide marine lidar data \u2013 available for download  56 preparation. \r\n\r\nNSW statewide marine lidar data \u2013 available 
            55 on SEED:  57 for download on SEED: 
            56 seed.nsw.gov.au/dataset/marine-lidar-topo-bathy-2018\r\n\r\nLinklater,  58 seed.nsw.gov.au/dataset/marine-lidar-topo-bathy-2018\r\n\r\nLinklater, 
            n 57 M. and Morris, B. (2022), Classification of seabed landforms on  n 59 M., Morris, B.D. and Hanslow, D.J. (2023), Classification of seabed 
            58 continental and island shelves. Manuscript in preparation.  60 landforms on continental and island shelves. Frontiers in Marine 
            61 Science, 10, 
            62 iersin.org/articles/10.3389/fmars.2023.1258556/full.\r\n\r\nLinklater, 
            59 \r\n\r\nLinklater, M., Ingleton, T. C., Kinsela, M. A., Morris, B. D.,  63 M., Ingleton, T. C., Kinsela, M. A., Morris, B. D., Allen, K. M., 
            60 Allen, K. M., Sutherland, M. D., & Hanslow, D. J. 2019. Techniques for  64 Sutherland, M. D., & Hanslow, D. J. 2019. Techniques for classifying 
            61 classifying seabed morphology and composition on a  65 seabed morphology and composition on a subtropical-temperate 
            62 subtropical-temperate continental shelf. Geosciences, 9(3), 141.", 66 continental shelf. Geosciences, 9(3), 141.",
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            68     "description": "DPE is the principal government agency responsible  72     "description": "DPE is the principal government agency responsible 
            69 for driving sustainable growth in NSW.\r\n\r\nDPE works closely with  73 for driving sustainable growth in NSW.\r\n\r\nDPE works closely with 
            70 local government, stakeholders and the community in the areas of  74 local government, stakeholders and the community in the areas of 
            71 long-term regional planning, well-located housing and employment land,  75 long-term regional planning, well-located housing and employment land, 
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            74 country.\r\nIn collaborating with government agencies, DPE aims to  78 country.\r\nIn collaborating with government agencies, DPE aims to 
            75 promote greater community and stakeholder consultation, integrate land  79 promote greater community and stakeholder consultation, integrate land 
            76 use planning and infrastructure provision, deliver development  80 use planning and infrastructure provision, deliver development 
            77 assessments for major development and infrastructure projects and  81 assessments for major development and infrastructure projects and 
            78 guide the policies and strategies for land use, heritage and  82 guide the policies and strategies for land use, heritage and 
            79 conservation.\r\n\r\nDPE\u2019s community initiatives include raising  83 conservation.\r\n\r\nDPE\u2019s community initiatives include raising 
            80 the standard of building and design, releasing new land for housing  84 the standard of building and design, releasing new land for housing 
            81 and employment, developing strategies which guide sustainable  85 and employment, developing strategies which guide sustainable 
            82 planning, protecting the environment through impact assessments,  86 planning, protecting the environment through impact assessments, 
            83 driving best practice in development approvals, publishing population  87 driving best practice in development approvals, publishing population 
            84 projections and analyses, assessing major projects of state  88 projections and analyses, assessing major projects of state 
            85 significance and managing key planning reforms.\r\n\r\nSee:  89 significance and managing key planning reforms.\r\n\r\nSee: 
            86 http://www.planning.nsw.gov.au/\r\n", 90 http://www.planning.nsw.gov.au/\r\n",
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            349       "last_modified": null, 353       "last_modified": null,
            n 350       "metadata_modified": "2023-08-28T01:52:16.521869", n 354       "metadata_modified": "2023-11-17T04:32:37.149208",
            351       "mimetype": null, 355       "mimetype": null,
            352       "mimetype_inner": null, 356       "mimetype_inner": null,
            353       "name": "Storymap for seabed landforms", 357       "name": "Storymap for seabed landforms",
            354       "package_id": "25babb7a-f676-4fd1-97a6-8278ec9c2afb", 358       "package_id": "25babb7a-f676-4fd1-97a6-8278ec9c2afb",
            355       "position": 10, 359       "position": 10,
            356       "resource_type": null, 360       "resource_type": null,
            357       "size": null, 361       "size": null,
            358       "state": "active", 362       "state": "active",
            359       "url": "https://arcg.is/1veunD", 363       "url": "https://arcg.is/1veunD",
            360       "url_type": null 364       "url_type": null
            361     }, 365     },
            362     { 366     {
            363       "cache_last_updated": null, 367       "cache_last_updated": null,
            364       "cache_url": null, 368       "cache_url": null,
            n 365       "created": "2023-08-28T01:52:16.728257", n 369       "created": "2023-11-17T04:32:37.593745",
            366       "datastore_active": false, 370       "datastore_active": false,
            367       "datastore_contains_all_records_of_source_file": false, 371       "datastore_contains_all_records_of_source_file": false,
            368       "format": "ARCGIS REST SERVICE", 372       "format": "ARCGIS REST SERVICE",
            369       "hash": "", 373       "hash": "",
            n 370       "id": "2732921c-5564-426a-b96a-be97dc51c3a8", n 374       "id": "7620aabb-15fd-479b-8835-b551fb948de6",
            371       "last_modified": null, 375       "last_modified": null,
            t 372       "metadata_modified": "2023-08-28T01:52:16.521999", t 376       "metadata_modified": "2023-11-17T04:32:37.149333",
            373       "mimetype": null, 377       "mimetype": null,
            374       "mimetype_inner": null, 378       "mimetype_inner": null,
            375       "name": "Mapservice - NSW seabed landforms derived from marine  379       "name": "Mapservice - NSW seabed landforms derived from marine 
            376 lidar data 2022", 380 lidar data 2022",
            377       "package_id": "25babb7a-f676-4fd1-97a6-8278ec9c2afb", 381       "package_id": "25babb7a-f676-4fd1-97a6-8278ec9c2afb",
            378       "position": 11, 382       "position": 11,
            379       "resource_type": null, 383       "resource_type": null,
            380       "size": null, 384       "size": null,
            381       "state": "active", 385       "state": "active",
            382       "url":  386       "url": 
            383 gov.au/arcgis/rest/services/Coastal_Marine/SeabedLandforms/MapServer", 387 gov.au/arcgis/rest/services/Coastal_Marine/SeabedLandforms/MapServer",
            384       "url_type": null 388       "url_type": null
            385     } 389     }
            386   ], 390   ],
            387   "spatial":  391   "spatial": 
            388 ],[150.17,-28.13],[153.73,-28.13],[153.73,-37.55],[150.17,-37.55]]]}", 392 ],[150.17,-28.13],[153.73,-28.13],[153.73,-37.55],[150.17,-37.55]]]}",
            389   "spatial_coverage":  393   "spatial_coverage": 
            390 ],[150.17,-28.13],[153.73,-28.13],[153.73,-37.55],[150.17,-37.55]]]}", 394 ],[150.17,-28.13],[153.73,-28.13],[153.73,-37.55],[150.17,-37.55]]]}",
            391   "state": "active", 395   "state": "active",
            392   "tags": [], 396   "tags": [],
            393   "temporal_coverage_from": "2018-01-07", 397   "temporal_coverage_from": "2018-01-07",
            394   "temporal_coverage_to": "2018-01-12", 398   "temporal_coverage_to": "2018-01-12",
            395   "title": "NSW seabed landforms derived from marine lidar data 2022", 399   "title": "NSW seabed landforms derived from marine lidar data 2022",
            396   "type": "dataset", 400   "type": "dataset",
            397   "unpublished": "false", 401   "unpublished": "false",
            398   "update_freq": "notPlanned", 402   "update_freq": "notPlanned",
            399   "url": null, 403   "url": null,
            400   "version": null 404   "version": null
            401 } 405 }