Platform for wildlife monitoring integrating Copernicus and ARGOS - - PowerPoint PPT Presentation

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Platform for wildlife monitoring integrating Copernicus and ARGOS - - PowerPoint PPT Presentation

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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 Andrs 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

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Platform for wildlife monitoring integrating Copernicus and ARGOS data

HORIZON 2020, Space Information Day Lisbon, September 15th 2016 Juan Andrés Alonso, Atos

w w w . E O 4 w i l d l i f e . e u G r a n t a g r e e m e n t n o . : 6 8 7 2 7 5 H 2 0 2 0 - E O - 2 0 1 5 - E O - 2 - 2 0 1 5

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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

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RDI | Research, Development & Innovation

  • More than 28 years of experience developing RDI

projects

  • Well-known player in European RDI networks
  • 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

Atos Research & Innovation

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EO4wildlife.eu

RDI since 1987 ~100 ongoing Projects Ranked n.1 in Europe participations in RDI

Download our booklet at http://atos.net/en- us/home/we-are/insights-innovation/research- and-innovation.html

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  • 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

Key facts (I) Objectives

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  • 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)

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Key facts (II) Consortium

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  • 7 partners: Spain (1), France (3), and UK (3)
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Key facts (III) Consortium

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  • 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
  • perator 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

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Project Organisation

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  • 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.

EO Platform

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8 Front end component. User private workspace

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EO Platform - SparkInData

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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 Thematic Services

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Reference Scenarios

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EO4wildlife.eu

  • 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
  • bjective of this scenario is to support

scientists involved in marine turtle studies to predict turtles’ distributions

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Seabird Tracking Database

Reference Scenarios (I) Predicting seabird distributions

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  • 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)

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  • 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.

Reference Scenarios (II). Better knowledge of pelagic fish’s migrations routes and habitat use

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  • 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.

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  • 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
  • ther technologies could be available for the scenario. It will mainly

be tracks of marine mammals

Reference Scenarios (III) Copernicus Sentinel data for MPAs managers

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  • The scenario takes place in some of the Marine Protected

Areas in the French Economic zone

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Reference Scenarios (IV) Identifying marine turtle behaviours

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  • 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

  • ffer 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.

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  • 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:
  • 29th February – 4th March, Lima, Perú (36th International Symposium on Sea Turtle

Biology and Conservation)

  • 13th March, Funchal, Madeira (European Cetacean Society 30th annual conference)
  • 5th May, Wareham, UK (New premises for Biotrack (ARGOS PTT manufacturer)

Project Results (M1 to M8)

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  • First Advisory Board workshop 5th 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, 4th International Conference on Marine

Mammal Protected Areas ICMMPA 4

Next steps and conclusions

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EO4wildlife.eu

This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 687275

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