In this technical tutorial on the Copernicus data infrastructure, you will learn about the Copernicus Earth Observation Infrastructure, the Copernicus Data Space Ecosystem and OpenEO. After working through the tutorial, you will be able to
- understand the purpose and scope of the Copernicus EO infrastructure
- understand the role of the Copernicus Data Space Ecosystem and OpenEO for accessing and processing Copernicus data
- use Python to create information products from Earth observation data using the Copernicus Data Space Ecosystem and OpenEO.
- Chapter 1: Overview
- Chapter 2: Background on the Copernicus Program, Sentinel-2 data, the Copernicus Data Space Ecosystem, and the openEO API
- Chapter 3: Practical exercise on how to use the Copernicus Data Space Ecosystem with Pythin and OpenEO
- Chapter 4: Summary
It takes about 60 minutes to work through this tutorial.
The tutorial is designed for students and professionals who want to improve their understanding of Spatial Information Infrastructures. We assume that you have some basic knowledge about remote sensing, Python and web technologies. However, even without this prior knowledge you will be able to follow and to achieve the main learning objectives. Your computer should have 8 GB of usable RAM and 2 GB of usable hard disk space to download and use the software for this tutorial.
Simply download the PDF file, and follow the tutorial.
You are free to use, modify, and share this tutorial under the terms of the CC-BY-SA 4.0 license, unless explicitly stated otherwise for specific parts of the content.
The authors can be cited as: OER-Spatial-Data-Streaming (2024), Tobias Krumrein, Albert Remke, University of Münster, CC-BY-SA 4.0.
All logos used are excluded from the CC-BY-SA license.
Any code provided with the tutorial can be used under the terms of the MIT license. Please see the full license terms.
The tutorial was developed at the Institute for Geoinformatics, University of Münster. Authors are Tobias Krumrein and Albert Remke.
The OER4SDI project has been recommended by the Digital University NRW and is funded by the Ministry of Culture and Science NRW.