1. BASIC - What do I need and why?

Introduction to satellite data: Type of EO images + Satellite data

Topics:
Type of EO (visible, IR, Radar, GNSS); type of applications (revisit / observation frequency, orbit, footprint, observation spectrum, etc.); application examples; introduction to EO services (in particular Copernicus), Q&A.

Time: 10:00 - 12:00

No Knowledge of EO Data required - participants of part 1 (basic)

Lunch 12:00 to 13:00

2. GET GOING - What to look for?

Where can I go for which satellite data: data hubs and data services

Topics:
Availability of EO data; data levels, Copernicus data hubs, various portals (NSO, ESA , NASA, national, commercial); DIAS; data choice (how do I determine / find the right data for my application); Q&A, own examples, discussion.

Time: 13:00 - 15:00

Knowledge required: Basic knowledge of EO Data - participants of part 1 (basic)

Drinks & refreshments 15:00 – 15:30

3. APPLY - I'm going to do something now, how? Teamwork! ( You sign up individual and up to three team members can join! )
Work with satellite data: develop simple python programs for use with climate data

Scope:
Integrate EO data into a Python program and create visuals. The programming principles will be illustrated by means of the Copernicus Climate Change Service (C3S) toolbox; the toolbox will be explained and demonstrated; therefore we provide simple use-cases (as examples). You are encouraged to bring in your own use-cases and to write your own programs.

Note:
In order to create working solutions your use-cases should address only a single problem, such as “temperature anomalies at place A during period X” or “frequency of droughts during period Y at area B”. We will make use of C3S services, hence your use-case should be related to the Earth’s climate. If you like and if time permits, we will discuss your example during the course.

Time: 15:30 - 17:30

Knowledge required: Some programming experience with Python. You get to work themselves and must bring their own laptop