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

自2015年11月以来，海洋天文台倡议高清晰度相机(CamHD)一直在收集华盛顿州海岸外胡安德富卡山脊上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的行为，以及与地震和火山事件相关的流体流动、温度和化学变化导致的动物和微生物定殖率的变化。这些数据都是公开的，但庞大的档案和缺乏方便检索的工具，使调查人员很难利用这一独特的数据集。通过这个项目，PIS希望通过提供工具来更好地获取视频数据，从而证明OOI CamHD系统的科学价值。该项目有可能使生物、地质和海洋调查中的科学调查成为可能，这些调查尚未被想象到。该项目将支持两名从事跨学科工作的早期科学家，为这一社区资源增加实质性价值。在撰写本提案时，来自OOI海底高清相机(CamHD)的约33 TB数据已收集并存档。这些数据都是公开的，但庞大的档案和缺乏方便检索的工具，使调查人员很难利用这一独特的数据集。PI已请求紧急资金，以展示拟议的支持云的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.