Coral Sea - Sula Seamount - Geomorphology and Surface Classification

Voyage IN2019_V04 contributed an additional 29,000 kms2 of seafloor survey data to the Coral Sea knowledge base. From this new bathymetric data individual seamounts have been extracted and have been classified to the Geoscience Australia Geomorphology Classification Scheme. This dataset contains two layers representing the classification layers- 1) Surface (Plain, Slope, Escarpment) and 2) fine scale Geomorphology of the seamount for the Sula Seamount.Ongoing research with this survey data will provide new insights into the detailed geomorphic shape and spatial relationships between adjacent seabed features. This information will be released in future publications to show the potential of how the scale of such seafloor data can be used for predictive habitat modelling when analysed with the biological data overlays.IN2019_V04航次向珊瑚海知识库新增了29000平方千米的海底调查数据。依托本次获取的新型水深地形数据（bathymetric data），研究人员已完成单个海山（seamount）的提取，并依据澳大利亚地质调查局（Geoscience Australia）地貌分类方案完成了分类。本数据集包含两类分类图层：其一为表层地貌图层（涵盖平原、斜坡、陡坡三类）；其二为苏拉海山（Sula Seamount）的精细尺度海山地貌图层。基于本次调查数据的后续研究，将进一步阐明相邻海底地貌单元的精细地貌形态与空间关联机制。相关研究成果将在后续学术出版物中发布，以展示此类规模化海底数据结合生物数据叠加分析后，在生境预测建模领域的应用潜力。