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 of Earth Observation theory and applications. Overview of fundamental principlies, potential and limits.
Python is a powerful language for analyzing large amount of data. The first steps up to complex implementations into other software systems are covered.
Remote Sensing is a powerful tool for conservation research and application. Content ranges from fundamental analysis using Open-Source software such as QGIS up to more complex analysis using QGIS or other software solutions.
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.
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.
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.
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.
Spatio-temporal analysis of landscape properties that are relevant for ecological research are covered in theory and practice. From converting field data to a spatial format up to fragmentation analysis are covered.
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.
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