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Coordinated by  
Framework Partnership Agreement on Copernicus User Uptake (FPCUP)Framework Partnership Agreement on Copernicus User Uptake (FPCUP)

Copernicus Knowledge Transfer

Point of contact
Dr.  Michael Schmidt
German Aerospace Center
Königswinterer Str. 522-524
53227 Bonn
Phone: +49 228 447 118
URL: www.dlr.de

Implementing Partner: DLR
Implementing Country: Germany Primary Topic: Copernicus Data, Copernicus User Needs Primary Target Users: Public Sector, Research Sector, Schools Primary Target Region: Europe Europe: Germany Type of Action: Developing and piloting downstream applications and services
Action No.: 2020-1-1
Duration: Last Update:



The action “Copernicus Knowledge transfer” aims to support university graduates acquire the Earth Observation (EO) knowledge and cloud computing skills needed to work in public authorities. The action will develop interactive E-Learning materials for educational purposes for public authorities and for university students and graduates aiming to work in public authorities. The background is that Copernicus uptake in public authorities can still be improved at large. The German national platform CODE-DE (Copernicus Data and Exploitation Platform Germany) allows data access and processing, and is free of charge for German public authorities and students. CODE-DE already offers data and services from the Copernicus programme as well as access to the Copernicus Contributing Missions (CCM).

Within this action bachelor and master students can apply to 1 of 10 CODE-DE data processing quota on CODE-DE for the data analysis to complete their respective thesis. The student shall work on their research questions directly with a public authority. The students will get support through the CODE-DE help desk and will provide close feedback which learning materials are missing and should be provided for future students. This feedback is essential to provide the appropriate learning material and will provide insight to the level of detail needed.

The delivered learning material will consist of easy-to-use image processing examples and an introduction to cloud computing using virtual machines (VM) and examples of Jupyter Lab. Modular teaching material will be produced to introduce methodological concepts and workflows to analyse EO data, recent advancements in process automation and examples of big data analytics, including the application of methods in Artificial Intelligence (AI). Besides the primary target groups, the developed educational resources will, once completed, also be made available for other institutional adult trainings. The hands-on exercises will encourage the use and uptake of EO data in public authorities with the additional aim that new recruits form universities bring the innovation of utilising cloud resources into the public authorities and thus force and foster the Copernicus user uptake in public authorities.

Outputs and Results:

  • Course material and module(s)
  • 10 master/bachelor theses linked though the CODE-DE Website as example studies or student and public service collaborations
  • 5 E-Learning units will be available through the platform CODE-DE and FPCUP homepage in German and English
  • 5 example Code snippets for Jupyter Lab as part of the learning material
  • The learning material can be shared with other interested parties, such as DIAS platforms of TEBs
  • The E-Learning material can be used for University teaching or self-education
  • Survey of the participating students