Seabed morphology and geomorphology of Zeehan Marine Park, south-eastern Australia - Version 1

This data product contains seabed morphology and geomorphology information for a subset area of Zeehan Marine Park. A nationally consistent seabed geomorphology classification scheme was used to map and classify the distribution of key seabed features. The Zeehan Marine Park seabed morphology and geomorphology maps were derived from a 2 m horizontal resolution bathymetry DEM compiled from a multibeam survey undertaken for Parks Australia by the University of Tasmania.

Semi-automated GIS mapping tools (GA-SaMMT); (Huang et. al., 2022; eCat Record 146832) were applied to a bathymetry digital elevation model (DEM) in a GIS environment (ESRI ArcGIS Pro) to map polygon extents (topographic high, low, and planar) and to quantitatively characterise polygon geometries. Geometric attributes were then used to classify each shape into discrete Morphology Feature types (Dove et. al., 2020; eCat Record 144305). Seabed geomorphology features were interpreted by applying additional datasets and domain knowledge to inform their geomorphic characterisation (Nanson et. al., 2023; eCat Record 147818). Where available, backscatter intensity, seabed imagery, and survey reports supplemented the bathymetry DEM and morphology classifications to inform the geomorphic interpretations.

The data product and classification schema are fully described in the accompanying Data Product Specification.

Dove, D., Nanson, R., Bjarnadóttir, L. R., Guinan, J., Gafeira, J., Post, A., Dolan, Margaret F.J., Stewart, H., Arosio, R., Scott, G. (2020). A two-part seabed geomorphology classification scheme (v.2); Part 1: morphology features glossary. Zenodo. https://doi.org/10.5281/zenodo.4075248;

Huang, Z., Nanson, R., Nichol, S. 2022. Geoscience Australia's Semi-automated Morphological Mapping Tools (GA-SaMMT) for Seabed Characterisation. Geoscience Australia, Canberra. https://dx.doi.org/10.26186/146832

Nanson, R., Arosio, R., Gafeira, J., McNeil, M., Dove, D., Bjarnadóttir, L., Dolan, M., Guinan, J., Post, A., Webb, J., Nichol, S. (2023). A two-part seabed geomorphology classification scheme; Part 2: Geomorphology classification framework and glossary (Version 1.0) (1.0). Zenodo. https://doi.org/10.5281/zenodo.7804019

本数据集包含泽汉海洋公园（Zeehan Marine Park）部分区域的海底地貌形态与地貌学信息。本次研究采用全国统一的海底地貌分类方案，对核心海底地貌要素的分布进行制图与分类。泽汉海洋公园海底地貌形态与地貌图的数据来源为塔斯马尼亚大学（University of Tasmania）为澳大利亚公园管理局（Parks Australia）开展的多波束测量所生成的水平分辨率为2米的水深数字高程模型（bathymetry DEM）。

研究团队在地理信息系统（Geographic Information System, GIS）环境（ESRI ArcGIS Pro）中，将半自动GIS制图工具GA-SaMMT（Huang等，2022；eCat记录146832）应用于水深数字高程模型，以绘制多边形范围（包括地形高地、洼地和平地）并定量描述多边形几何特征。随后基于几何属性将每个多边形归为独立的地貌形态特征类型（Dove等，2020；eCat记录144305）。研究人员结合额外数据集与领域专业知识，对海底地貌要素进行解译以明确其地貌学特征（Nanson等，2023；eCat记录147818）。若有可用数据，反向散射强度、海底影像与勘测报告将作为补充数据源，辅助水深数字高程模型与地貌形态分类结果，以完善地貌学解译工作。

本数据集与分类方案的完整细节详见随附的《数据产品规范》。

1. Dove, D., Nanson, R., Bjarnadóttir, L. R., Guinan, J., Gafeira, J., Post, A., Dolan, Margaret F.J., Stewart, H., Arosio, R., Scott, G. (2020). 两部分海底地貌分类方案（v.2）；第1部分：地貌形态特征术语表.Zenodo. https://doi.org/10.5281/zenodo.4075248
2. Huang, Z., Nanson, R., Nichol, S. 2022. 澳大利亚地质调查局半自动地貌制图工具（GA-SaMMT）用于海底特征表征. 澳大利亚地质调查局，堪培拉. https://dx.doi.org/10.26186/146832
3. Nanson, R., Arosio, R., Gafeira, J., McNeil, M., Dove, D., Bjarnadóttir, L., Dolan, M., Guinan, J., Post, A., Webb, J., Nichol, S. (2023). 两部分海底地貌分类方案；第2部分：地貌分类框架与术语表（v1.0）.Zenodo. https://doi.org/10.5281/zenodo.7804019