Collaborative Research: Cloud-Capable Tools for MG&G-Related Image Analysis of OOI HD Camera Video

自2015年11月以来，海洋观测计划（OOI）的高清摄像机（CamHD）一直在收集位于华盛顿州海岸附近的胡安·德富卡海岭上的深水热液喷口的视频剪辑。CamHD被用来研究喷口随时间和流体流动的变化。科学家们希望利用这些时间序列图像来研究动物行为以及动物和微生物定植的变化，这些变化与地震和火山事件引起的流体流动、温度和化学变化有关。这些数据都是公开的，但档案的庞大规模和缺乏易于检索的工具使调查人员难以利用这一独特的数据集。通过这个项目，PI希望通过提供更好地访问视频数据的工具来展示OOI CamHD系统的科学价值。该项目有可能使生物学，地质学和海洋学调查的科学调查成为可能。该项目将支持两名从事跨学科工作的早期职业科学家，为这一社区资源增加实质性价值。在撰写本提案时，OOI海底高清摄像机（CamHD）已收集并存档了约33 TB的数据。这些数据都是公开的，但档案的庞大规模和缺乏易于检索的工具使调查人员难以利用这一独特的数据集。PI已经要求EAGER提供资金，以证明拟议的云计算系统对这些数据的价值。

Since November 2015 the Ocean Observatory Initiative (OOI) high-definition camera (CamHD) has been collection video clips of the deep water hydrothermal vent on the Juan de Fuca Ridge located off the coasts of the state of Washington. The CamHD is being used to study the change of the vent over time and flow of fluids. Scientists hope to use the time-series images to study animal behavior and changes in animal and microbial colonization associated with changes in fluid flow, temperature and chemistry in response to seismic and volcanic events. The data is all publicly available but the huge size of the archive and the lack of tools for easy retrieval make it difficult for investigators to take advantage of this unique data set. With this project the PIs hope to demonstrate the scientific value of the OOI CamHD system by providing tools to provide better access to the video data. This project has the potential to enable the scientific investigations in biological, geological, and oceanographic investigations that are yet to be imagined. This project will support two early-career scientists engaging in an interdisciplinary effort to add substantial value to this community resource.At the time of the writing of this proposal some 33 TB data from the OOI seafloor high-definition camera (CamHD) has been collected and archived. The data is all publicly available but the huge size of the archive and the lack of tools for easy retrieval make it difficult for investigators to take advantage of this unique data set. The PIs have requested EAGER funding to demonstrate value of the proposed cloud-capable system for this data.