Section outline

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    In this technical tutorial on the Copernicus Data Infrastructure, you will learn about the Copernicus Data Space Ecosystem and how to process EO data using Python 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.

     
    Structure of the tutorial 
     

    1. Overview

    2. Background

         -  The Copernicus Program

         -  The Copernicus Data Space Ecosystem

         -  Processing of EO Data with Python and openEO

    3. Hands-on Exercise

         -  Exercise Overview

         -  Preparation

         -  Walk through the Python Notebook

    4. Summary

     
     
    Target Audience and Prerequisites

    This 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. The Tutorial takes about 60 minutes for reading and viewing the provided materials, downloading the software and for conducting the hands-on exercises and tasks.

    The latest version of this tutorial is always available on GitHub. You are invited to use GitHub issues to provide feedback and suggest improvements.

    How to use the OER Module
     
    Just activate the PDF document, read the content and follow the instructions. 
     
    Open License
    This Tutorial has been developed in the context of the OER4SDi project at the Institute for Geoinformatics, University of Münster.  Authors are Tobias Krumrein and Albert Remke.
     
    You are free to use, alter and share the content of the tutorial under the terms of the [CC-BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/deed.de) license, unless explicitly stated otherwise for specific parts of the content. All logos used are generally excluded. Any code provided with the tutorial can be used under the terms of the MIT license. Please see the full license terms:
     
     
    The tutorial can be referenced as follows: “OER-CopernicusAndOpenEO”, OER4SDI project / University Münster,[ CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/legalcode.en).
     
    The OER4SDI project has been recommended by the Digital University NRW and is funded by the Ministry of Culture and Science NRW.