Seabed Landforms Classification Toolset
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https://researchdata.edu.au/seabed-landforms-classification-toolset/2829189
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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 ‘seabed landforms’, 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
海底地貌分类工具集(Seabed Landform Classification Toolset)是一款地理信息系统(Geographic Information System,GIS)工具箱,旨在对大陆架与岛架环境中的海底地貌开展分类。用户可在ArcGIS工具箱内按照一系列分类步骤,对被称为“海底地貌”的典型海底特征进行分类——这类特征表征了海底表面的形态特征。海底地貌涵盖礁滩、海峰、海床平原、陡坡、水道与洼地。平原区域还可依据局地与全域尺度进一步划分为高地与低地特征,以捕捉平原表面的细节地貌。本分类流程采用了海底分类常用的变量,包括坡度、水深位置指数(bathymetric position index)与地形粗糙度,并通过一系列处理步骤识别礁体露头并抑制噪声干扰。该分类方法采用全海域景观分类框架,旨在提供一种灵活且易用的手段,从高分辨率陆架水深数据中提取关键海底地貌特征。
本工具集基于ESRI ArcGIS Desktop 10.8开发,需搭载空间分析(Spatial Analyst)与3D分析(3D Analyst)扩展模块的高级授权许可方可运行。其依托底栖地形建模器工具集(Benthic Terrain Modeler,Walbridge等,2018)与地貌测量与梯度指标工具箱(Geomorphometry and Gradients Metrics Toolbox,Evans等,2014)中的脚本实现功能。
如需了解该工具集的运行方法,请参阅用户指南与配套文档。相关线上说明文档可访问:https://arcg.is/1Tqmv50
该海底地貌分类工具集亦可在GitHub平台下载获取,下载链接为:https://github.com/LinklaterM/Seabed-Landforms-Classification-Toolset/
本工具集由新南威尔士州气候变化、能源、环境与水利部(原新南威尔士州规划与环境部)海岸与海洋团队开发,资金来源于新南威尔士州气候变化基金通过海岸管理资助包与海洋产业管理局提供的拨款。
引用本工具集时请标注如下格式:
林克莱特(M. Linklater)、莫里斯(B.D. Morris)与汉斯洛(D.J. Hanslow)(2023)《大陆架与岛架海底地貌分类》,《海洋科学前沿》,第10卷,https://doi.org/10.3389/fmars.2023.1258556。
本工具集所依托的其他工具集包括:
底栖地形建模器(Benthic Terrain Modeler):Walbridge, S.、Slocum, N.、Pobuda, M.与Wright, D. J.(2018)《基于底栖地形建模器的统一地貌分析工作流》,《地球科学》,8卷,第94页。
地貌测量与梯度指标工具箱(Geomorphometry and Gradients Metrics Toolbox):Evans, J.、Oakleaf, J.与Cushman, S.(2014)《面向地表梯度与地貌测量建模的ArcGIS工具箱(版本2.0-0)》,https://github.com/jeffreyevans/GradientMetrics。
提供机构:
data.nsw.gov.au搜集汇总
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