遇见数据集

IN2016_E02 Sydney to Hobart Bathymetry 10m - 210m Multi-resolution AusSeabed products

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Research Data Australia2024-12-14 收录
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This layer group describes multibeam echosounder data collected on RV Investigator voyage IN2016_E02 titled "MNF Equipment Sea Trials". The voyage took place between December 16 and December 20, 2016, departing from Sydney (NSW) and arriving in Hobart (TAS).\n\nThe primary objective of the voyage was to test and verify equipment in preparation for upcoming voyages in 2017.\n\nThis dataset is published with the permission of CSIRO. Not to be used for navigational purposes.\n\nThe dataset contains bathymetry grids of 10m to 210m resolution of the transit between Sydney and Hobart produced from the processed EM122 and EM710 bathymetry data.\n\nLineage: Data processing for the EM122 and EM710 was performed using CARIS 9.1. Data from both systems\nwere imported into a single CARIS project using Vessel files investigator_EM710 and\nInvestigator_EM122. A zero tide was applied to the data before merging. All lines were swath\nedited and subedited.\n\nThe data was then gridded at multiple resolutions in python Caris batch script using a Depth filter Vs Resolution guideline derived from AusSeabed Multibeam guidelines v2 and further inspected for outliers. Final raster products are available in L3 folder of this collection. Final processed data were also exported per line as GSF and ASCII format and available in the L2 folder of this collection.\n

本图层组描述了“调查者号”科考船(RV Investigator)IN2016_E02航次所采集的多波束测深仪(multibeam echosounder)数据,该航次主题为“MNF设备海上试验”。本次航次执行时间为2016年12月16日至12月20日,从新南威尔士州悉尼港出发,最终抵达塔斯马尼亚州霍巴特港。 本航次的核心目标为开展设备测试与验证工作,为2017年后续航次做好筹备。 本数据集经联邦科学与工业研究组织(Commonwealth Scientific and Industrial Research Organisation, CSIRO)授权发布,不得用于导航用途。 本数据集包含由经过预处理的EM122与EM710测深数据生成的、分辨率介于10米至210米之间的悉尼至霍巴特航渡航线水深地形栅格数据。 数据溯源:EM122与EM710系统的原始数据采用CARIS 9.1进行处理。通过船舶配置文件investigator_EM710与Investigator_EM122,将两套系统的数据导入至同一个CARIS项目中。合并数据前,已对所有数据施加零潮校正。所有测线均完成条带编辑与子块编辑。 随后,本数据集采用基于《澳大利亚海底多波束测绘指南v2》制定的水深滤波与分辨率匹配准则,通过CARIS Python批处理脚本将数据栅格化为多种分辨率,并进一步对异常值进行筛查。本数据集的L3文件夹中提供最终栅格产品。此外,所有经过预处理的单条测线数据均已导出为GSF(通用传感器格式,Generic Sensor Format)与ASCII(美国信息交换标准代码)格式,存放于本数据集的L2文件夹中。

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