While sea data is often fragmented, heterogenous, not synchronized in time, this makes it difficult to analyze massively using modern methods
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 techniques.
Historical data allows to follow temporal evolution of the underwater communities
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.
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.
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
Installation of underwater cameras to monitor the sea life