Examples of our Courses
Various courses are offered on different levels of expertise and focusing on different field of applications.
Please find a selection below:
Introduction to Earth Observation
Introduction of Earth Observation theory and applications. Overview of fundamental principlies, potential and limits.
1-2 days
Spatial Python
Python is a powerful language for analyzing large amount of data. The first steps up to complex implementations into other software systems are covered.
3-5 days
Application in Agriculture
Agricultural monitoring using remote sensing data is an established process. Providing an overview of methods and real-world examples, as well as hands-on exercises are covered in this course.
1-5 days
Maps
Creating informative and visually appealing maps of the results is key for a successful communication. Desiging field work as well as presentation-ready maps is covered in this course
1-2 days
Remote Sensing Applications
Overview of remote sensing applications ranging from polar to tropical examples. This courses provides insights into the potential of remote sensing for specific research fields.
1-2 days
Spatial R
R is the most powerful language for data analysis and statistics. Daily data handling up to automated processing chaings executing complex statistical models are covered.
3-5 days
Intro to Coding
Coding or programming is a powerful tool once it has been mastered. This course covers the first steps in a coding environment up to writing a first script for a specific application.
1-2 days
Graphics and Presentations
Graphics outlining the results of the remote sensing research and presenting them is of importance for many projects. Discussing and creating graphs and presentations for a scientific audience is content of this course.
1-2 days
Specific Courses
All course examples mentioned above are just a small fraction of potential topics. We are happy to discuss specific topics and level of expertise.
Size of Courses
The size of courses or rather the lecturer-attendee ratio is a key factor for a successfull learning outcome. Hence, we aim for max. 10 attendees per lecturer.
Got interested?
Get in touch with us!