EGU2020-17296, updated on 12 Jun 2020
EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Copernicus Data Infrastructure NRW

Arne de Wall1, Albert Remke1, Thore Fechner2, Jan van Zadelhoff2, Andreas Müterthies3, Sönke Müller3, Adrian Klink3, Dirk Hinterlang4, Matthias Herkt4, and Christoph Rath5
Arne de Wall et al.
  • 1.52°North GmbH, Münster, Germany
  • 2con terra GmbH, Münster, Germany
  • 3EFTAS Fernerkundung Technologietransfer GmbH, Münster, Germany
  • 4LANUV NRW - State Agency for Nature, Environment and Consumer Protection North Rhine-Westphalia, Recklinghausen, Germany
  • 5IT.NRW - Information and Technology North Rhine-Westphalia, Düsseldorf, Germany

The Competence Center Remote Sensing of the State Agency for Nature, Environment and Consumer Protection North Rhine-Westphalia (LANUV NRW, Germany) uses data from the Earth observation infrastructure Copernicus to support nature conservation tasks. Large amounts of data and computationally intensive processing chains (ingestion, pre-processing, analysis, dissemination) as well as satellite and in-situ data from many different sources have to be processed to produce statewide information products. Other state agencies and larger local authorities of NRW have similar requirements. Therefore, the state computing center (IT.NRW) has started to develop a Copernicus Data Infrastructure in NRW in cooperation with LANUV, other state authorities and partners from research and industry to meet their various needs. 

The talk presents the results of a pilot project in which the architecture of a Copernicus infrastructure node for the common Spatial Data Infrastructure of the state was developed. It is largely based on cloud technologies (i.a. Docker, Kubernetes). The implementation of the architectural concept comprised as a use case of an effective data analysis procedure to monitor orchards in North Rhine-Westphalia. In addition to Sentinel 1 and Sentinel 2 data, the new Copernicus Data Infrastructure processes digital terrain models, digital surface models and LIDAR-based data products. Finally we will discuss the experience gained, lessons learned, and conclusions for further developments of the Copernicus Data Infrastructure in North-Rhine Westphalia.

How to cite: de Wall, A., Remke, A., Fechner, T., van Zadelhoff, J., Müterthies, A., Müller, S., Klink, A., Hinterlang, D., Herkt, M., and Rath, C.: Copernicus Data Infrastructure NRW, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-17296,, 2020


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