{"help": "https://data.nsw.gov.au/data/api/3/action/help_show?name=package_show", "success": true, "result": {"author_email": null, "creator_user_id": "8d2ac61a-d63a-4456-a00d-b35fee4c4025", "id": "2eeedb8a-06ee-430f-9193-6ad7d738bf9b", "isopen": true, "license_id": "cc-by", "license_title": "Creative Commons Attribution", "license_url": "http://www.opendefinition.org/licenses/cc-by", "maintainer": null, "maintainer_email": null, "metadata_created": "2023-10-27T04:09:56.606752", "metadata_modified": "2025-10-23T00:10:26.400762", "name": "seabed-landforms-classification-toolset", "notes": "The Seabed Landform Classification Toolset is a GIS toolbox designed to classify seabed landforms on continental and island shelf settings. The user is guided through a series of classification steps within an ArcGIS toolbox to classify prominent seabed features termed \u2018seabed landforms\u2019, which characterise the morphology of the seabed surface. Seabed landforms include reefs/banks, peaks, plains, scarps, channels and depressions. Plain areas can additionally be classified into high and low features at localised and broad scales to capture features within plain surfaces. Common variables for seabed classification are utilised, including slope, bathymetric position index and ruggedness, and a series of procedures are applied to identify reef outcrops and minimise noise. The classification approach applies a whole-seascape classification which is aimed to offer a flexible and user-friendly approach to extract key seabed features from high-resolution shelf bathymetry data.\r\n\r\nThis toolset was developed using ESRI ArcGIS Desktop 10.8 and requires an Advanced licence with Spatial Analyst and 3D Analyst and extensions. It utilises scripts within the Benthic Terrain Modeler toolset (Walbridge et al. 2018) and Geomorphometry and Gradients Metrics Toolbox (Evans et al., 2014). \r\n\r\nPlease read the User Guide and supporting documentation for information on how to run the toolset. A web explainer is available at: https://arcg.is/1Tqmv50\r\n\r\nThe Seabed Landform Classification Toolset is also available for download on GitHub (https://github.com/LinklaterM/Seabed-Landforms-Classification-Toolset/).\r\n\r\nThe toolset was developed by the Coastal and Marine Team, NSW Department of Climate Change, Energy, the Environment and Water (formerly NSW Department of Planning and Environment), funded by NSW Climate Change Fund through the Coastal Management Funding Package and the Marine Estate Management Authority.\r\n\r\nPlease cite this toolset as:\r\nLinklater, M, Morris, B.D. and Hanslow, D.J. (2023) Classification of seabed landforms on continental and island shelves. Frontiers of Marine Science, 10, https://doi.org/10.3389/fmars.2023.1258556. \r\n\r\nOther toolsets utilised by the Seabed Landform Classification Toolset include:\r\nBenthic Terrain Modeler: Walbridge, S., Slocum, N., Pobuda, M., and Wright, D. J. (2018). Unified geomorphological analysis workflows with Benthic Terrain Modeler. Geosciences 8, 94.\r\nGeomorphometry and Gradients Metrics Toolbox: Evans, J., Oakleaf, J., and Cushman, S. (2014). An ArcGIS Toolbox for Surface Gradient and Geomorphometric Modeling, Version 2.0-0. https://github.com/jeffreyevans/GradientMetrics.\r\n", "num_resources": 2, "num_tags": 15, "organization": {"id": "139dd472-a9c0-4063-8de9-3b9b5ff5f255", "name": "nsw-department-of-climate-change-energy-the-environment-and-water", "title": "NSW Department of Climate Change, Energy, the Environment and Water", "type": "organization", "description": "Ensuring a sustainable NSW through climate change and energy action, water management, environment and heritage conservation and protection.", "image_url": "2024-02-06-050442.862891imageupload", "created": "2024-02-06T16:04:42.881176", "is_organization": true, "approval_status": "approved", "state": "active"}, "owner_org": "139dd472-a9c0-4063-8de9-3b9b5ff5f255", "private": false, "spatial_coverage": "{\"type\": \"Polygon\", \"coordinates\": [[[-180, -90], [-180, 90], [180, 90], [180, -90], [-180, -90]]]}", "state": "active", "temporal_coverage_from": 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