Videos and images from SOL5117 (Joseph Bonaparte Gulf)

The Joseph Bonaparte Gulf survey (SOL5117, GA survey #0325) was conducted on the R.V. Solander between 30 July and 30 September 2010 in collaboration with staff from the Australian Institute of Marine Science (AIMS) and the Museum and Art Gallery of Territory (MAGNT). This was a follow up survey from a survey in 2009 (SOL4934, GA survey #0322). The SOL5117 survey was undertaken under a Collaborative Agreement between GA and the AIMS. SOL5117 survey collected acoustic multibeam data (bathymetry and backscatter), sub-bottom profile data, as well as detailed geological (sedimentological, geochemical) and biological (towed-video, benthic sled, Smith McIntyre grabs) data for seabed environments (banks, channels and plains) from 4 offshore grids along a N-S transect. In addition, shipboard photographs were taken of barcoded biological specimens. The aims of the survey were to map, identify and investigate potential geohazards and unique, sensitive environments that relate to infrastructure; and to use exisitng data to evaluate the capacity to predict geohazards and sensitive environments.Underwater video footage and still photographc images (12 megapixel resolution) from towed-video were collected from 46 (Leg 1) and 33 (Leg 2) stations, although quality varies among transects and some still images were not of suitable quality for analysis. Video and image files or associated parent folders are named by station number, gear code (CAM = underwater camera system) and then the deployment number. For example, 'stn48CAM35' would represent a video transect from Station 48 that was the 35th video transect on the survey.

约瑟夫·波拿巴湾科考（SOL5117，澳大利亚地质调查局(Geoscience Australia, GA)科考编号#0325）于2010年7月30日至9月30日期间，搭乘“索兰德号”(R.V. Solander)科考船完成本次任务，合作方包括澳大利亚海洋科学研究所(Australian Institute of Marine Science, AIMS)与北领地博物馆与美术馆(Museum and Art Gallery of Territory, MAGNT)。本次科考为2009年科考（SOL4934，GA科考编号#0322）的后续跟进项目。SOL5117科考依托GA与AIMS签订的合作协议实施。本次科考采集了声学多波束数据(acoustic multibeam data，含水深地形bathymetry与反向散射backscatter数据)、浅地层剖面(sub-bottom profile)数据，同时针对沿南北向断面的4个近海网格内的海底环境（海底浅滩、水道与平原），采集了详细的地质（沉积学sedimentological、地球化学geochemical）与生物（拖曳式摄像towed-video、底栖拖网benthic sled、Smith McIntyre采泥器Smith McIntyre grabs）数据。此外，科考团队还对带有条形码的生物标本拍摄了船载照片。本次科考的目标为：绘制、识别并调查与基础设施相关的潜在地质灾害及独特敏感海洋环境；并利用现有数据评估地质灾害与敏感海洋环境的预测能力。科考团队还从46个（航次第一阶段）与33个（航次第二阶段）站位采集了拖曳式摄像系统获取的水下视频素材与1200万像素分辨率的静态图像，但不同断面的成像质量存在差异，部分静态图像质量未达到分析标准。视频与图像文件或其所属父文件夹均以站位编号、设备代码（CAM = 水下摄像系统）以及部署序号命名。例如，“stn48CAM35”代表来自站位48的第35次水下摄像航次的视频断面。