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OpenDataScience Europe Workshop 2022

Connecting Europe through Earth Observation and Open Data Missions.
Prague, 13–16 June 2022.

Come and join the next ODSE workshop in Prague, hosted by the Technical University of Prague (CTU).
The abstract submission is now open!

Deadline for submissions has been extended to May 1st !

Learn more!


Keynote Speakers 2022

Meet our special guests for the workshop 2022 in Prague!
Codrina Ilie

Codrina Ilie

Remote sensing/GIS specialist at Terrasigna
John Wenzhong Shi

John Wenzhong Shi

Director, Otto Poon Charitable Foundation Smart Cities Research Institute, The Hong Kong Polytechnic University
Arzu Çöltekin

Arzu Çöltekin

Professor of Human-Computer Interaction and Extended Reality at the Institute of Interactive Technologies (Northwestern Switzerland)

Tomáš Pajdla

Tomáš Pajdla

Associate Professor & Distinguished Researcher at the Czech Technical University in Prague
Helena Mitasova

Helena Mitasova

Associate Director at the Cennter for Geospatial Analytics, North Carolina State University (US)
Jiří Pilař

Jiří Pilař

Legal and Policy Officer at HaDea

OpenDataScience Europe Workshop 2022 will start in:

OpenDataScience Europe Workshop 2021

Wageningen International Conference Centre (NL)

A 5-day hybrid event with 16 training sessions for processing data cubes and using machine learning in Open Source, followed by 3 days of conference talks by leading European experts and researchers discussing challenges and opportunities for “Spatiotemporal modelling of European Landscapes and Climate 2000–2020: using EO and Machine Learning“.

Learn more


OpenDataScience Europe Portal

We are building the Open Data Science Europe Portal, a freely-accessible viewer containing gridded layers for Europe at spatial resolutions of 30-m or better! Our maps are produced using FOSS4G software solutions, Machine Learning and Open Earth Observation data.

The Open Data Science Europe data portal / viewer aims at serving decision-ready layers such land cover, air quality and pollution, potential natural vegetation and similar.

We use topographic data (DEMs), Earth observation (EO) data, hydrological and meteorological data that we map using automated mapping systems largely based on spatiotemporal Machine Learning algorithms available in the Open Source software. We then serve the data using Cloud-Optimized GeoTIFFs to allow for seamless and unrestricted access. We document all processing steps through gitlab.com up to the level of full-reproducibility!

Visit now!


Geo-harmonizer project mission

The Geo-harmonizer project aims at reducing problems of harmonizing national data with using seamless modeling techniques over the entire extent of the EU, and "opening data" i.e. making the data easier to access

The Copernicus land data products and similar data products funded by European Commission play a central role in the reference data framework that determines the quality and traceability of all Copernicus products and services. But many of these layers suffer from limited reproducibility and completeness. By building and implementing Geo-harmonizer we will contribute to the Copernicus product in producing new added-value products. For example, we use automated mapping methods to produce annual land cover maps at 30-m resolution for the complete period 2000–2020, the “OpenStreetMap+” (we merge OpenStreetMap data with other EO products) and a number of other value-added layers. We aim at producing analysis and/or decision ready layers that can be used directly by end-users.


Video recordings are now available!

All training sessions and conference talks at the ODSE 2021 were recorded and are now available on our website!
 

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