Bathymetry grid near Point Perpendicular of Jervis Bay survey area
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Geoscience Australia carried out marine surveys in Jervis Bay (NSW) in 2007, 2008 and 2009 (GA303, GA305, GA309, GA312) to map seabed bathymetry and characterise benthic environments through colocated sampling of surface sediments (for textural and biogeochemical analysis) and infauna, observation of benthic habitats using underwater towed video and stills photography, and measurement of ocean tides and wavegenerated currents. Data and samples were acquired using the Defence Science and Technology Organisation (DSTO) Research Vessel Kimbla. Bathymetric mapping, sampling and tide/wave measurement were concentrated in a 3x5 km survey grid (named Darling Road Grid, DRG) within the southern part of the Jervis Bay, incorporating the bay entrance. Additional sampling and stills photography plus bathymetric mapping along transits was undertaken at representative habitat types outside the DRG. pointperpendi is an ArcINFO grid near Point Perpendicular of Jervis Bay survey area produced from the processed EM3002 bathymetry data using the CARIS HIPS and SIPS software. This dataset is a contribution to the CERF Marine Biodiversity Hub.
澳大利亚地质调查局(Geoscience Australia)于2007年、2008年及2009年在新南威尔士州(New South Wales, NSW)杰维斯湾(Jervis Bay)开展了三次海洋调查(项目编号:GA303、GA305、GA309、GA312),旨在通过多技术手段绘制海底地形(seabed bathymetry)图并表征底栖环境(benthic environments):包括对表层沉积物(surface sediments,用于纹理与生物地球化学分析(textural and biogeochemical analysis))及底内动物(infauna)开展同位采样(colocated sampling)、采用水下拖曳视频与静态摄影技术(underwater towed video and stills photography)观测底栖生境、测量海洋潮汐与波浪生成流(wavegenerated currents)。本次调查的数据与样品采集工作依托国防科学技术组织(Defence Science and Technology Organisation, DSTO)的"Kimbla"号科研考察船完成。海底地形测绘(bathymetric mapping)、采样以及潮汐/波浪测量工作集中于杰维斯湾南部一块3×5千米的调查网格——达令路网格(Darling Road Grid, DRG),该区域涵盖海湾入口。此外,在达令路网格之外的典型底栖生境区域,沿调查航段开展了补充采样、静态摄影以及海底地形测绘工作。pointperpendi为基于经处理的EM3002型多波束测深系统(EM3002)水深数据,通过CARIS HIPS and SIPS软件生成的杰维斯湾调查区垂直角点(Point Perpendicular)附近的ArcINFO格网(ArcINFO grid)数据。本数据集为CERF海洋生物多样性枢纽(CERF Marine Biodiversity Hub)的共建贡献成果。



