Summary of 1 st ESA symposium on big Earth observing data

Transcription

1 Summary of 1 st ESA symposium on big Earth observing data Veronica Guidetti European Space Agency Copernicus Big Data Workshop European Commission Brussels Mar 2014

2 NOT IN SCOPE OF MY TODAY S TALK numeric characterisation of Earth obs data assets (satellite and ground) statistics of responses selection of application domains sector specific indications/recommendations

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8 SO RING UP THE CURTAIN! applied multivariate analysis, data mining computing power and storage scalability costs and weighting factors data access and use policies, licensing derivative work data capturing and description application scenarios (big) best practices infrastructure tools views in prospect data interoperability, retrieval, navigation data protection, and trustworthiness data delivery timeliness, distribution services, network data slicing, subsetting, extraction data variety, fusion, correlation data visualisation, rendering, video streaming peak data processing performance indicators for big Earth data services systematic data processing spatial on-line analytical processing systems sustainability of big Earth data services

9 EC, NASA, ESA opening about 80 abstracts 50 international talks over 2.5 dd >250 professionals and experts attended EU, US, AU, CN, Africa

10 GENERAL FINDINGS capabilities to use diversity more than volumes new research approaches, services, skills critical thinking, change of paradigm traditional and new application domains expression of interest at highest political levels custom user services/platforms automation of t consuming less productive tasks wide spectrum of potential uses

11 CHALLENGES rapid reliable access to VA consumption services effective trends projection/visualisation borderless applications response to user Q in 1-hop backend mass processing interdisciplinary skills

12 USER PERCEPTION commercial platforms to qualified services education to use platforms/data facilities focus on issues rather than data

13 TECHNOLOGY CURVE m crowdsourcing, at infancy scattered resources and lack of sustainability quick target discovery, semantic aggregation HP visualisation, easiest effective discovery

14 WAY FORWARD (new) partnership models to sustained business big Earth data business to have + economic impact decades of experience, consolidated processes, high degree of coordination among its key players => Earth observing data assets increasingly represent a major case of big data

15 2 RECURRENT BACKSTAGE QUESTIONS J When are you going to organise the next one? When will I be able to get (all) the slides?

16 A FEW CLOSING REMARKS cooperation scheme to be enforced sound participatory outcomes community is out there big Earth obs data defined in terms of the unpredictable value added derivable from their innovative analyses, far from the original purposes thought of

17 COMMUNICATION ESA BIG DATA FROM SPACE early/mid 2015 focus on Earth observations space/ground and in-situ segments applications and big Earth data exploitation Sentinels flying!

18 THANK YOU VERY MUCH

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