Serving continuous and global high resolution satellite data -- an example based on Sentinel-2 data

For the Copernicus Data and Exploitation Platform of Germany (CODE-DE) a full resolution imagery service of Sentinel-2 Level-1C data has been developed. Based on the experiences of this project this paper provides a general overview on how OGC-compliant online access services of large earth observation data sets can be implemented. Different means of implementation are compared through criteria such as the performance of the web services, the storage requirements and the processing power needed as well as the quality and flexibility reached. Considerations like projection, transparency, bit depth, formats and compression play a big role in serving the data in a performant way. This work aims to suggest best practices and to assist on which option to choose for which dedicated use case

Insights into CODE-DE - Germany's Copernicus Data and Exploitation Platform

This article presents and analyses the modular architecture and capabilities of CODE-DE (Copernicus Data and Exploitation Platform - Deutschland, www.code-de.org), the integrated German operational environment for accessing and processing Copernicus data and products, as well as the methodology to establish and operate the system. Since March 2017, CODE-DE has been online with access to Sentinel-1 and Sentinel-2 data, to Sentinel-3 data shortly after this time, and since March 2019 with access to Sentinel-5P data. These products are available and accessed by 1,682 registered users as of March 2019. During this period 654,895 products were downloaded and a global catalogue was continuously updated, featuring a data volume of 814 TByte based on a rolling archive concept supported by a reload mechanism from a long-term archive. Since November 2017, the element for big data processing has been operational, where registered users can process and analyse data themselves specifically assisted by methods for value-added product generation. Utilizing 195,467 core and 696,406 memory hours, 982,948 products of different applications were fully automatically generated in the cloud environment and made available as of March 2019. Special features include an improved visualization of available Sentinel-2 products, which are presented within the catalogue client at full 10 m resolution