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Onboarding Pilot Services

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


Build capacity among users to exploit the data exploitation platform CODE-DE by supporting the integration of Copernicus pilot application services and to transfer knowledge from Universities to public authorities

The CODE-DE (the COpernicus Data and Exploitation Platform DEutschland) platform has been online since March 2017. Its functions and scope are similar to that of the DIAS platforms implemented by the European Commission. Since March 2018 CODE-DE has been offering a processing capacity allowing users to run services on CODE-DE.

CODE-DE is free to use for national public authorities to foster the use of Copernicus data and to implement downstream services. The usage of the processing facilities is quota based, which are granted via a simple application step. Test quotas for the usage of VMs for three months is open to anyone.

The CODE-DE cloud is designed to specifically fulfill the usage demands for public authorities. This means explicitly a well-structured web presence with a low complexity entry level, high usability and user friendliness. This involves full resolution data browse and view services, but also that registered users can trigger (simply by mouse click) pre-implemented on-demand web-based data processing services, such as Sentnel-1 interferometry or a biophysical data processing flow for Sentinel-2 data (Leaf Area Index, Fractional Vegetation Cover and FAPAR). There are other ready to use data products for the user’s convenience available, such as monthly composites of Sentinel-1 and 2 imagery. All Copernicus data for Germany are available locally on the servers in Frankfurt (Germany), with additionally global Sentinel data access via the CreoDIAS data catalog and access to all Copernicus services.  The full CODE-DE data offer is described in the portfolio.

A CODE-DE usage is also open to scientific users through ESA’s Network of Resources (NoR) via cloud elasticity and dynamic resource allocation.