Community Research and Development Information Service - CORDIS


EO4wildlife Report Summary

Project ID: 687275
Funded under: H2020-EU.2.1.6.

Periodic Reporting for period 1 - EO4wildlife (Platform for wildlife monitoring integrating Copernicus and ARGOS data)

Reporting period: 2016-01-01 to 2016-12-31

Summary of the context and overall objectives of the project

Europe’s investment in the Copernicus Sentinel satellites will provide Europe with an unprecedented source of operational satellite data. Data streams are expected to amount to several terabytes per satellite orbit, thereby delivering unprecedented temporal and spatial resolution and data continuity.
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.
In order to reach such important objective, 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.

EO4wildlife Main Objectives
- Architecture a system to access Sentinel Earth Observation data, ARGOS databases of archive and real time, thematic databank portals such as, or, and other Earth Observation and MetOcean databases; locally or remotely, and simultaneously.
- Design and develop an operational and easy-to-use platform to query, search, mine and extract information from these different databases. End users will be able to fusion and cross correlate heterogeneous data via advanced data analytics methods in order to discover information, patterns, validate or invalidate hypothesis, detect potential similar or reproducible behaviour or favourable conditions associated to the movement of animals, oceanographic mobiles, or potentially any kind of geo localized mobiles.
- Provide additional functionalities via a toolbox: connections to other external databases (owner database), facilities to develop and run algorithms for dedicated data analytics, models and data visualization functionalities.

Work performed from the beginning of the project to the end of the period covered by the report and main results achieved so far

EO4wildlife started in January 2016 and has been active now for its first 12 months.

The project is developed starting from an initial analysis of requirements in wildlife scenarios, which is followed by the specification and design of technical work, split between the platform and analytics, and continuous dissemination and exploitation of the project results, supported by a group of experts in the form of an external Advisory Board.

The Wildlife scenarios work package designs, implements and validates different scenarios based on the use case requirements in the field of wildlife movements, habitats and behaviour. EO4wildlife project considers several use cases: management tools for authorities to help them make real-time decisions to protect selected seabird species; enhancing knowledge of scientists about the pelagic fish migrations routes, reproduction and feeding behaviours in order to better manage species; and setting up tools for marine protected areas managers.
During this first period, a guideline to collect Use Case Leaders needs in terms of EO data, platform functionalities and thematic analytics tools has been written and delivered in February 2016. The Wildlife Scenario document V1 was finalized in April as planned, and presents in its first part the 4 wildlife scenarios as described by the Use Case Leaders, with different maturities. In a second part, the scenarios are described as system and services in preparation to the validation plan.

A second work package is responsible for building the platform to enable access to a wealth of data, coming from different local and remote data stores, processing capabilities and a panel of services that will be the solid basis for the EO4wildlife user services, integrating the processing algorithms and tools coming from the other technical work package, which specialises in intelligent big data management, processing, advanced analytics and a Knowledge Base for wildlife migratory behaviour and trends forecast. This work leads to the development and implementation of web-enabled services using OGC standards for data processing and geospatial sensor observation and measurements, that which will feed into the platform.

There are as well ongoing specific tasks in charge of providing measures that will help to achieve the expected impact of the project and a viable exploitation strategy and effective dissemination towards relevant target audiences.
The work carried out during this period focused on Dissemination and Communication activities as well as giving the first steps in order to stablish the external Advisory Board. The project website at, the Twitter profile @EO4wildlife and the Facebook website were set up during this period. In addition, the project Brochure and the first issue of the Newsletter were designed and released in June. The second issue of the Newsletter was published in December.

Progress beyond the state of the art and expected potential impact (including the socio-economic impact and the wider societal implications of the project so far)

EO4wildlife ambition focusses on the establishment of an integrated knowledge base of services which encapsulate query-able knowledge about species migratory trends in the context of changing environments and the states of their respective habitats. EO4wildlife shall purposely provide an open information platform and gateway to access to integrated EO data from heterogeneous sources, while overcoming semantic interoperability. Specifically, EO4wildlife shall achieve such semantic interoperability through the deployment of new EO4wildlife Big Data connectors.

During this first year, the Consortium analysed the produced scenarios in order to extract the specific data and meta data requirements, while being supported by literature reviews on the state of the art and technologies. Technical solutions for handling Argos data through the EO4wildlife platform have been evaluated and described as part of the work on data Connectors and Catalogue services. The Consortium has also worked on a generic EO4wildlife XML format to standardize not only the Argos location data coming from the users’ platforms (, but also any animal track from any other scientific community. A special emphasis was done on the metadata description of the Argos and EO data and EO4wildlife services to follow the ISO/OGC/European standards.

EO4wildlife will contribute to the “efficient and widespread exploitation of the existing and planned European space infrastructure (especially Copernicus with its sentinel satellites)” by delivering a platform (1) enabling the access to Sentinel Earth Observation data, (2) ARGOS databases of archive and real time, (3) additional thematic databank portals (such as, or, and (4) other Earth Observation and MetOcean databases; with (5) additional facilities to develop and run algorithms for dedicated data analytics and models.

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