TEAM 3: Big Data for Fishery

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TEAM LEADER: Karel Jedlička/University of West Bohemia

PROJECT IDEA: The main aim is to provide an easy to use web map application (based on HS Layers NG technology), which will help users (fleet manager, ship manager, …?) in decision making. Can be similar to https://www.windy.com/, but fed with fishery-related data and data from earth observation and meteorological forecast

The application will provide:

    • Several spatial data layers to create a custom map mashups:
      • Data from satellites (the way of visualisation will be defined for each layer) – Spacebel
        • Wind speed
        • Wind direction
        • Sea temperature
        • Chlorophyll
        • Temperature
        • Turbidity
        • …
      • Data from weather forecast (there meteo comp. As a partner of DataBio, MeteoBlue API)
        • Wind speed
        • Wind direction
        • ….
      • Other relevant data
        • Different management divisions (e.g. economic zones, large ecosystems and other)
        • …
      • Data about position of tuna fish species (both actually tracked and forecasted by a probabilistic model)
        • Including the probability in the case of forecasted data (by color saturation)
      • Data for ship routing
        • Visualise alternative routes with attributes of estimated fuel consumption and risk (by combination of route color and thickness or by detailed report when user click)
  • Challenge: provide a web interface to set up the start and end point of the route, then recalculate the route instantly to consider ship decisions
  • Dynamic visualisation of the data showing (a time slider will control, what is visualized):
    • Real time (=actual day) situation
    • Forecast (for how long?)
    • Historic data (just for fleet manager?) – an advanced visualization by WebGlayer can be prepared that allows not only visualization, but also basic analytics

The nature of the data is dynamics – all the data are changing in a half day period the most but each layer independently.

The map application will visualize data in various scales/levels of detail/granularity, but the initial granularity will be based on approx. 25 x 50 km (0.5 or 0.25 degrees) cells.