Monitoring biodiversity

The strength of a systematic approach

While sea data is often fragmented, heterogenous, not synchronized in time, this makes it difficult to analyze massively using modern methods

Seafloor mapping

Seafloor mapping 

Mapping large areas using satellite data and drones with up to 2 cm/pixel resolution 

3D modelling

3D modelling of seafloor relief

Aquisition of 3D models for specific site of interest using photogrammetry techniques.

Delta of Ebro Filomena

Collection of historical data

Historical data allows to follow temporal evolution of the underwater communities

Layers of data

Historical data stored as GIS georeferenced layers

Posidonia fields

Satellite data

Georeferenced data from satellites gives first indication on degraded areas.

Bathymetric data

Bathymetric data

Bathimetric data with high precision sonars mounted on the boats capable to approach very close to the shore line

Seafloor maps

Seafloor maps

Mapping species and aquatic vegetation with advanced methods

Cymodosea fields

Biodiversity data

Microbiological data, biodiversity and biocoenosis data,  identification of degraded areas using historical maps or evaluation in-situ.

Database structure

A community of divers, drone pilots collect information for the database that is analyzed by cutting edge machine learning techniques to provide precise information for end-users with different needs

Input 

Heterogenity of the input data is transformed in well-annotated layered structure for storage in the database ready for machine learning training and analysis. 

Database

Well-orginized layered data with time stamp allow for fast extraction and processing

Output

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.

Sea Database

Data Aquisition

Historical data stored as GIS georeferenced layers

Underwater sensors

Local sensors underwater

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

Remote sensing

Remote sensing

Drones and underwater robots provide georeferenced data with high resolution

Diver

Underwater cameras

Installation of underwater cameras to monitor the sea life 

Address

DeepSea Numerical
Av. Prat de la Riba, 4 4t 4a,
Tarragona, 43001 Spain




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