Coding for EO (Python & R)

Webinar with Steffen Kothe (DWD), Danny Parsons (IDEMS International), David Moffat (PML); Co-instructors: Hayley Evers-King (EUMETSAT), Oliver Clements (PML)

8 December 2021; 12:00 UTC; Register here

This course is aimed at demystifying Earth Observation satellite data use through code. The course will focus on the flow that is used, regardless of programming language, to produce statistics or imagery from raw data files. We will also highlight resources that are available in multiple programming languages to further your exploration of coding for EO.  

In the short course we will use python and R. However, the principles can be applied to many other programming languages.
You will learn the basic principles of coding with gridded EO data: Opening a file, plotting a map, doing calculations and plotting the results. The structure of the course is described below in the agenda. There will be time for you to play with the code and then ask question.

All times UTC

• 12:00 – 13:00 First web session including theory presentation and examples in Python and R
• 13:00 – 15:00 time for self-experiment with example Python and R code provided
• 15:00 – 16:00 Q&A session to answer any questions you have generated in previous 2 hours

Your Questions on Slido: During the webinar, we'll use Slido to answer your questions. Go to Slido.com and use #EUMSC22 or click here. 

Below are two videos that walk you through installing Python via the Anaconda system. We then provide you a config file that can be used to "import" an environment

Configuration file for Anaconda environment: https://classroom.eumetsat.int/pluginfile.php/44654/course/section/4434/shortcourse_env.yml