Building a Queryable Image Bank for Marine Health Tracking

This case study outlines the development of a queryable image bank aimed at tracking marine health, specifically focusing on phytoplankton and zooplankton communities in shallow coastal waters. The document details the integration of innovative observation systems, including bio-sensors and the Video Plankton Recorder (VPR), which captures underwater images of plankton. The collected images, along with their associated metadata, are stored in BioSenseMongoDB, a NoSQL database designed for handling large datasets. The study emphasizes the importance of monitoring these communities to understand the impacts of environmental pressures such as climate change and pollution. It also describes the use of Studio 3T for querying the database and extracting validated biodiversity data for analysis. Additionally, the Reschema tool is highlighted for its role in managing schema updates and maintaining data integrity. Overall, the integration of these technologies enhances the efficiency of marine biology research and contributes to better understanding the dynamics of marine ecosystems.