earth observation data centre - univie.ac.at · earth observation data centre wolfgang wagner...
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Earth Observation Data Centre
Wolfgang Wagner
Department of Geodesy and Geoinformation (GEO) Vienna University of Technology (TU Wien)
Earth Observation Data Centre for Water Resources Monitoring (EODC)
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Corn Field in Upper Austria 31 August 2015
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Corn Field in Upper Austria 19 August 2018
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Satellite Soil Moisture Anomalies over Austria 2018
ASCAT soil moisture compared to 2007-2017 Data were detrended to account for land cover changes Snow and frozen soil conditions were masked
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Climate in Austria in 2018
Temperature Anomaly Rainfall Anomaly
https://www.zamg.ac.at/cms/de/klima/klima-aktuell/klimamonitoring/ Data query on 20/10/2018
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Meteorological Satellites
Copernicus-Satellites
Science-Missions
Earth Observation: A European Success Story
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► Data Volume
► Number of transistors (Moore’s law)
► Disk
► CPU
↑40 % per year
Doubling every two years
Years
Bandwidth ↑25 % per year
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EO Ground Segment – The Past
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EO Ground Segment – The Future
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The Formation of a Network of EO Cloud Platforms
§ Reaching a critical mass is essential for user uptake § How to scale up?
• Private capital → Google, Amazon, … • Public investments → CODE-DE, Copernicus DIAS … • Cooperatives → EODC, Supercomputing Centres
Publicly-funded Data Centres
Commercial Data Centres
Cooperative Data Centres
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https://earthengine.google.com/
Gorelick et al. (2017) Google Earth Engine: Planetary-scale geospatial analysis for everyone, Remote Sensing of Environment 202, 18-27
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Data Access and Information Services (DIAS)
led by Atos
led by Serco Italia S.p.A. led by Airbus
implemented by EUMETSAT, ECMWF and Mercator-Ocean
§ Copernicus is managed by the EC’s Directorate-General for Internal Market, Industry, Entrepreneurship and SMEs (DG Growth)
led by Creotech Instruments S.A.
implemented by
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§ Public-private partnership § Building a federated multi-owner IT
infrastructure for • Scientists • Public services • Innovators
§ Users are partners who participate in decision making
§ Development of collaborative services • From data to model predictions
Earth Observation Data Centre Collaboration for Earth Observation
Petabyte Storage Supercomputing Cloud Platform
https://www.eodc.eu/
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EODC Infrastructure @ TU Wien & ZAMG
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https://eomonitor.eodc.eu/superset/dashboard/datastatus/
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Copernicus Climate Change Service (C3S) https://climate.copernicus.eu/climate-datasets
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Interoperability of Platforms
§ openEO develops an open API to connect R, python, javascript and other clients to big Earth observation cloud back-ends
H2020
R Python JavaScript
GEE Sinergise VITO EODC
http://openeo.org/
https://github.com/open-eo/
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Towards the Integrating of Research Infrastructures
§ In Earth Observation (EO), nobody can do it all § Formation of a network of transnational thematic data centres is essential
to make best use of the increasing wealth of EO data § Current EO infrastructure
programmes of DG Growth and ESA mainly aim to stimulate industry
§ EO science needs its own infrastructures
• Sovereignty • Scientific independence • Train next generation of
students
Acknowledgements BMWFW: GEOCLIM Data Infrastructure Austria Vienna Business Agency: ID-Nr. 1430171 “Sentinel Big Data Science Cluster” Austrian Space Application Programme: BMon Copernicus Climate Change Service: C3S 312b Lot 4 H2020: EO-2017 Number 776242 “openEO”