Platform for wildlife monitoring integrating Copernicus and ARGOS data w w w . E O 4 w i l d l i f e . e u Juan Andrés Alonso, Atos HORIZON 2020, Space Information Day H 2 0 2 0 - E O - 2 0 1 5 - E O - 2 - 2 0 1 5 Lisbon, September 15 th 2016 G r a n t a g r e e m e n t n o . : 6 8 7 2 7 5
Contents 1. ATOS Spain - ARI 2. EO4wildlife Key Facts 3. Project Organisation 4. Platform - SparkInData 5. Reference Scenarios 6. Project Results 7. Next Steps and conclusions EO4wildlife.eu 2
Atos Research & Innovation RDI | Research, Development & Innovation RDI since 1987 • More than 28 years of experience developing RDI projects ~100 ongoing Projects Ranked n.1 in Europe • Well-known player in European RDI networks participations in RDI • Design and coordination of large scale RDI collaborative projects (e.g. H2020) • Industrialisation of administrative processes • Wide range of domain expertise • Research & Innovation support services Download our booklet at http://atos.net/en- us/home/we-are/insights-innovation/research- and-innovation.html EO4wildlife.eu 3
Key facts (I) Objectives • Platform for wildlife monitoring integrating Copernicus and ARGOS data - Topic: Stimulating wider research use of Copernicus Sentinel Data - Type of action: Research and Innovation action - Action duration: 36 months - Action start: 1 January 2016 - Grant amount: 2,6 MEur • Objectives - Architecture a system to access Sentinel EO data, ARGOS archive databases and real time thematic databank portals - Develop an operational easy-to-use platform to query, search, mine and extract information from these different databases - Provide additional functionalities via a toolbox: connections to other external databases (owner database) EO4wildlife.eu 4
Key facts (II) Consortium • 7 partners: Spain (1), France (3), and UK (3) EO4wildlife.eu 5
Key facts (III) Consortium • ATOS ES/ARI : EO4wildlife Coordinator and lead dissemination and exploitation activities, as well as contribute to the overall architecture and platform development • ATOS FR : the EO4wildlife Technical authority, responsible for defining the platform architecture • CLS : CNES subsidiary with expertise in satellite EO data as an operator and data provider • BirdLife : Unique global Partnership of independent environmental NGOs, leads one of the Use Cases and the project validation • AAMP : French marine protected areas agency leads one of the EO4wildlife use cases on MPA management • IT Innovation : Lead responsible for the WP on Advanced Analytics and Knowledge Base • UNEXE : The University of Exeter will act as a Use Case leader for the project EO4wildlife.eu 6
Project Organisation EO4wildlife.eu 7
EO Platform • 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 - The platform front end will be intuitive to use and access by scientists . Front end component. User private workspace EO4wildlife.eu 8
EO Platform - SparkInData Thematic Services Approach Federation and interoperable approach based on open standards Technological solutions driven by use case requirements State of the art elastic solutions Highly customizable solutions A multi-sided market business model EO4wildlife.eu 9
Reference Scenarios • Predicting seabird distributions. Seabird tracking data and oceanographic variables can be combined to develop predictive habitat utilisation and species distribution models • Better knowledge of pelagic fish’s migrations routes and habitat use. The use case will focus more specifically on Blue fin tuna species in the Mediterranean and North Atlantic regions • Copernicus Sentinel data for MPAs managers to provide them with reliable tools for surveillance on human activities in MPAs • Identifying marine turtle behaviours. The final objective of this scenario is to support scientists involved in marine turtle studies to predict turtles’ distributions EO4wildlife.eu 10
Reference Scenarios (I) Predicting seabird distributions • General objective of this scenario is to be able to predict distribution and abundance of species of birds in order to develop effective management frameworks • 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 to help them make real-time decisions to protect seabirds species. • In terms tracking data , it is expected to manipulate: - ARGOS tracking data - other data from different technologies (geo locators from data logger, GPS/GSM locator) Seabird Tracking Database EO4wildlife.eu 11
Reference Scenarios (II). 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. EO4wildlife.eu 12
Reference Scenarios (III) Copernicus Sentinel data for 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 • An important dataset of tracking data from ARGOS system and other technologies could be available for the scenario. It will mainly be tracks of marine mammals • The scenario takes place in some of the Marine Protected Areas in the French Economic zone EO4wildlife.eu 13
Reference Scenarios (IV) Identifying marine turtle behaviours • The final objective of this scenario is to support scientists involved in marine turtle studies to predict turtles ’ distributions using environmental data, to inform dynamic management scenarios. • An important point is to set interoperability with SeaTurtle.org platform , which is gathering most of these scientists spread over the entire world and offer most of the functionalities proposed by SeaTurtle.org. • The main step forward expected with EO4wildlife platform is to handle multiple tracks approach This will make an important difference with other existing facilities available for scientists. EO4wildlife.eu 14
Project Results (M1 to M8) • Initial description of the user’s requirements of the EO4wildlife system (deliverable D1.1 Use Case Scenarios) • General overview of all datasets to be handled in the project (Data Management Plan v1) - First analysis of the use of Copernicus ADD datasets: we are going to use not only data from the project but also additional datasets. • EO4wildlife platform v1 corresponds to current version of SparkInData platform • Other Public documents are published in the project website www.eo4wildlife.eu (D1.1, D1.3, D2.1, D2.3 and D5.6) • First Newsletter and Project brochure • EO4wildlife project has been presented in different events: - 29 th February – 4 th March, Lima, Perú (36 th International Symposium on Sea Turtle Biology and Conservation) - 13 th March, Funchal, Madeira (European Cetacean Society 30 th annual conference) - 5 th May, Wareham, UK (New premises for Biotrack (ARGOS PTT manufacturer) EO4wildlife.eu 15
Next steps and conclusions • First Advisory Board workshop 5 th October (Toulouse) • New Public documents will be available (WP3 deliverables) M11 (November 2016) • Second Newsletter M12 (December 2016) • First results of the Platform (based on SparkInData M14) • Next Events - 21/Sep/2016 Brussels, EU Research and Innovation in Support to the Earth Observation Market (Workshop) - 13/Nov/2016 Mexico, 4 th International Conference on Marine Mammal Protected Areas ICMMPA 4 EO4wildlife.eu 16
Thank you for your attention Juan Andrés Alonso juan.2.alonso@atos.net Download our Brochure at http://eo4wildlife.eu/content/eo4wildlife-project-brochure-june-2016 First Project Newsletter available at http://eo4wildlife.eu/content/eo4wildlife-newsletter-issue-1-june-2016 This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 687275 EO4wildlife.eu
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