2 665 325.00€
Funding Amount: 
2 665 325.00€
2016-01-01 to 2018-12-31

EO4wildlife main objective is to bring large communities of multidisciplinary research scientists such as biologists, ecologists and ornithologists around the world to collaborate closely together while using European Sentinel Copernicus Earth Observation more extensively and efficiently.
EO4wildlife research specialises in the big data intelligent management, processing, fusion and advanced analytics with a Knowledge Base for wildlife migratory behaviour trends.
The research will lead to the development of web-enabled open services using OGC standards for sensor observation and measurements and data processing of heterogeneous geospatial observation data and uncertainties.

Value Proposition: 

Space technologies have the potential to transform scientific project back on Earth. As a member of the European Commissions’ EO4wildlife project, Atos is designing and developing a platform that will enable scientists around the world to analyse wildlife movements using the Sentinel satellites’ observation data of the European Union’s Copernicus program to support projects to study the habitat of various migrating animals. These earth observation satellites are generating unprecedented volumes of data. To maximize the value of these terabytes of information, the scientific and research community needs to be able to integrate this data into their studies.


An open service platform with an interoperable toolbox will be designed and implemented. The platform will offer high level big data services that can be accessed by scientists to perform their respective research on species behaviour linked to environmental conditions and change of those conditions under certain threats.
Also, the platform front end will be intuitive to use and access by scientists. It will reduce barriers to accessing dedicated big data services for processing geospatial environmental simulations using Sentinel Earth Observation data which are intelligently fused with in-situ observations data from other sources.