five

CCS - MV Bluefin 2018 V02 BRUV data

收藏
Research Data Australia2026-01-17 收录
下载链接:
https://researchdata.edu.au/ccs-mv-bluefin-bruv-data/1402032
下载链接
链接失效反馈
官方服务:
资源简介:
Project Overview: A range of solutions will be required to reach globally agreed emissions reductions targets for carbon dioxide (CO2). Carbon capture and storage (CCS) is part of the suite of technologies that will contribute to lowering atmospheric emissions of CO2 from Australia's energy system. There are a wide variety of technologies at various stages of technical and commercial readiness, with more development underway for cost effective CO2 capture and storage. Our research will provide new knowledge to inform cost-efficient measurement, monitoring and verification (MMV) of the environment of CCS projects in coastal waters.\n\n--o--\n\nThis data was collected between the 8th May 2018 and the 12-14th November 2018 at the proposed site for subsea CCS off Golden Beach, Victoria.\n\nBaited remote video survey .\n\nTwo calibrated stereo BRUVs were deployed on the BF2018_V02 survey\n\nCameras:\n\nCanon HF20/21/200 with Raynox HD5050Pro adapter lens\n\nCameras were configured as per recommendations by SeaGIS\n\n• Turn off image stabiliser (see Image stabilizer in the camera manual).\n\n• Set the camera date and time (see Date and time in the camera manual).\n\n• Check the camera is at the widest zoom setting (see zoom in the camera manual).\n\n• Put the camera in manual focus and check the focus is correct (usually infinity). See Focus, manual in the camera manual.\n\n• Select the image recording quality (see Recording mode in the camera manual).\n\n• Put the camera in the ‘PF25’ frame rate (see Frame rate in the manual). There is no need to use the Cine Mode recording program – leave this as Programmed AE.\n\n• If appropriate for the camera model, set the recording media (on board memory or memory card, see Selecting the memory).\n\nCalibration:\n\n\\\\gpfs2-hba.san.csiro.au\\OA_BIOACOUSTICS_REFERENCE\\Year\n2018\\BF2018_V02\\BRUVS\\BRUVs\\calibration_20181107
提供机构:
Commonwealth Scientific and Industrial Research Organisation
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作