The Seabird Scenario (Ana Carneiro & Maria Dias, BirdLife International)
EO4wildlife platform aims to design and develop an open service platform and interoperable toolbox to process geospatial environmental simulations using Sentinel Earth Observation data that are intelligently combined with other observation sources. The platform will offer high level services that can be accessed by scientists to perform their respective research. Services will be based on dedicated scenarios that were built based on the interest of different scientific communities.
The Application Layer design of the platform will be driven by different scenarios in the field of wildlife movements, habitats and behaviour. These scenarios represent the technical solutions to implement in order to address various problematic of the end users of the project: the Use Cases.
Predicting seabird distributions
Seabird tracking data and oceanographic variables can be combined to develop predictive habitat utilisation and species distribution models. Authorities could use these as dynamic management tools (e.g. fisheries, shipping, Marine Protected Areas) to help them make real-time decisions to protect seabirds.
Better Knowledge of pelagic fish's migrations routes and habitat use
The first objective of this scenario enables fish scientists to track pelagic species with light based geo localization devices and to get a state of the art estimation of the fish trajectory. A second objective is to enable analysing and understanding blue fin tuna behaviour or appearance correlated to environmental data of salinity, primary production and sea surface temperature during spawning season in the Mediterranean Sea (summer season).
Copernicus data for marine mammals and MPAs managers
This scenario will focus on setting up tools for Marine Protected Areas managers, to help them predicting the distribution of protected species such as marine mammals. This scenario takes place in some MPAs in the French Exclusive Economic zone.
Identifying marine turtle behaviours
The final objective of this scenario is to support scientists involved in marine turtle studies to predict turtles' distributions (through defined habitat preferences and environmental niches) using environmental data, to inform dynamic management scenarios.
Architecture a system to access Sentinel Earth Observation data
(level 2 and level 3 products, to be determined during the requirements phase), ARGOS databases of archive and real time, thematic databank portals such as seaturtle.org, wildlifetracking.org or seabirdtracking.org, 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.
EO4wildlife team is a well-balanced consortium, covering the required multidisciplinary expertise to successfully carry out the required research tasks as well as to assure a manageable project structure. The project consists of partners from France, Spain and UK, supported by well-known international associations through an external Advisory Board.