Deep reef substrata at Ningaloo Marine Park
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https://researchdata.edu.au/deep-reef-substrata-marine-park/2760300
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Data from multibeam echosounder surveys taken as part of the Ningaloo Outlook project were classified into various seafloor cover types according to their hardness, rugosity and depth. The classifications were validated with towed video ground truth where it was available. This dataset describes two AOIs which are explicitly part of the Ningaloo Outlook Deep Reefs project. Substratum classifications were applied using multibeam backscatter angular response curves along with rugosity as input to a maximum likelihood classifier.
See original metadata record(s) and associated attached documents for accuracy estimates, alternate classification techniques, and additional surveyed areas.
https://doi.org/10.25919/kssa-5b46
https://doi.org/10.25919/kttc-x397
https://doi.org/10.25919/8m65-7k26
本数据集源自宁格鲁展望(Ningaloo Outlook)项目开展的多波束测深仪(multibeam echosounder)调查数据,研究人员依据数据对应的海底硬度、地形粗糙度(rugosity)与水深,将其划分为多种海底覆盖类型。在具备实地验证条件的海域,分类结果已通过拖曳视频实地验证数据(towed video ground truth)完成有效性校验。本数据集涵盖明确隶属于宁格鲁深远礁(Ningaloo Outlook Deep Reefs)项目的两个感兴趣区域(AOI, Area of Interest)。本次底质分类以多波束后向散射角响应曲线结合地形粗糙度作为输入特征,通过最大似然分类器(maximum likelihood classifier)实现。
如需获取精度评估、替代分类方法及更多调查区域的相关信息,请查阅原始元数据记录及附带文档。
https://doi.org/10.25919/kssa-5b46
https://doi.org/10.25919/kttc-x397
https://doi.org/10.25919/8m65-7k26
提供机构:
Australian Ocean Data Network



