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/10.26186/146832Nanson, 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

本数据产品涵盖齐汉海洋公园（Zeehan Marine Park）部分区域的海底地貌（seabed morphology）与地形地貌（geomorphology）信息。研究采用全国统一的海底地貌分类方案（seabed geomorphology classification scheme），对关键海底地貌特征的分布开展制图与分类工作。
齐汉海洋公园的海底地貌与地形地貌图，源自塔斯马尼亚大学为澳大利亚公园管理局开展的多波束测量（multibeam survey）所构建的2米水平分辨率水深数字高程模型（bathymetry DEM）。
研究在地理信息系统（GIS）环境（ESRI ArcGIS Pro）中，借助半自动GIS制图工具（GA-SaMMT；Huang等，2022；eCat记录146832）对该水深数字高程模型进行处理，以绘制地形高地、低地和平地的多边形范围，并定量刻画多边形的几何特征。随后利用几何属性将每个多边形归类为不同的地貌特征类型（Dove等，2020；eCat记录144305）。
海底地貌特征的解译，还结合了额外数据集与专业领域知识，以完成其地貌特征刻画（Nanson等，2023；eCat记录147818）。若有可用数据，还会利用反向散射强度、海底影像与测量报告，辅助水深数字高程模型与地貌分类结果，以完善地貌解译工作。
本数据产品及其分类方案的详细信息，可参阅随附的数据产品规范文档。

参考文献：
Dove, D., Nanson, R., Bjarnadóttir, L. R., Guinan, J., Gafeira, J., Post, A., Dolan, Margaret F.J., Stewart, H., Arosio, R., Scott, G. (2020). 两部分组成的海底地貌分类方案（第2版）：第1部分：地貌特征术语表. Zenodo. https://doi.org/10.5281/zenodo.4075248
Huang, Z., Nanson, R., Nichol, S. 2022. 澳大利亚地球科学局半自动地貌制图工具（GA-SaMMT）用于海底特征刻画. 堪培拉：澳大利亚地球科学局. 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). 两部分组成的海底地貌分类方案：第2部分：地貌分类框架与术语表（1.0版）. Zenodo. https://doi.org/10.5281/zenodo.7804019