Scientists are able to use Copernicus datasets for different purposes with the objective of identifying the key environmental factors that play a major role on the distributions of animals through the world Additionally, predictive models definetively can help with the goal of providing tools for better decision-making about animal protection. But none of those can be studied separately without taking into account various climate change scenarios to determine population distributions and understand how those changes may affect phenology and demographic processes.
Exploiting the rich datasets necessary to get useful and relevant information is a challenge for scientists, since a broad diversity of systems, platforms and interfaces are available in the market which makes overwhelming accessing those sources to download and analize the data. EO4wildlife provides a quick and easy access to a comprehensive set of EO datasets, as well as a toolbox of services for data filtering, processing and visualization.
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 the European Sentinel Copernicus Earth Observation more extensively and efficiently. EO4wildlife research specializes in the big data intelligent management, processing, fusion and advanced analytics with a Knowledge Base for wildlife migratory behavior 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.
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 behavior 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.
The Application Layer design will be driven by different scenarios which represent the technical solutions to implement in order to address various problematic issues for the end users of the project. In this sense, the platform will provide: seabird distributions predictions; better knowledge of pelagic fish's migrations routes and habitat use; marine mammal assessment on habitat preferences to inform conservation and management; and support to identify marine turtle behaviors.
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 analyze 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.