A cloud-based analytics platform capable of real-time monitoring and instantaneous prediction of contamination sources using a combination of dynamical modelling, statistical analysis and machine learning approaches that integrate the big data and analytics.
Accelerated analytics cloud platform allows researchers, end-users, authorities to interactively query, visualize and make critical decisions about water quality, synergy and biocenosis of marine ecosystems and relate localised incidents or permanent threats with degradation of underwater ecosystems of the closest shoreline.
It operates with indicators such as weather conditions, oceanographic and environmental data: temperature, salinity, turbidity which is collected in real time from satellites and other open web databases.
Heterogenity of the input data is transformed in well-annotated layered structure for storage in the database ready for machine learning training and analysis.
Well-orginized layered data with time stamp allow for fast extraction and processing
The output depends on the needs of the end-user and can be prepared in form of statistical data, automatic plots in real time or georeferenced maps.
Climate change, sea meadows redress, pollution, weather phenomena, changes in bacterial and fungi diversity reflected in historical data through years.
Unique setup on-demand can include underwater cameras connected with optical fiber cables, underwater drones and robots.
Monitoring of the biological communities, sea floor evolution through the year can be visualized in near real time
Installation of professional equippment of any complexity adapted for particular project with collection of data connected to Internet with underwater optical cable and instantly available for analysis
Drones and underwater robots provide georeferenced data with high resolution
Boats and divers with ISO certification for professional works underwater for monitoring and massive data aquisition all year around
Georeferenced data from satellites gives first indication on degraded areas.
Bathimetric data with high precision sonars mounted on the boats capable to approach very close to the shore line
Mapping species and aquatic vegetation with advanced methods
Microbiological data, biodiversity and biocoenosis data, identification of degraded areas using historical maps or evaluation in-situ.
Mapping large areas using satellite data and drones with up to 2 cm/pixel resolution
Aquisition of 3D models for specific site of interest using photogrammetry thechniques.
Historical data allows to follow temporal evolution of the underwater communities