Unmanned Aircraft Systems for Remote Sensing Applications

UAS to map and monitor our environment

Lecturer

Tobias Ullmann
Hooman Latifi
Martin Wegmann

ECTS

5 ECTS

 

Aim

The potential and challenges of Unmanned Aerial Vehicles for monitoring our environment is covered using theoretical as well as practical approaches.

 

Content

In recent years, the use of small Unmanned Aerial Vehicles (UAV, UASs or also called Drones) inceased to map and monitor our environment at unprecedented detail. The development of new multispectral instruments on UAVs have given the remote sensing community exciting opportunities to acquire new data. With these new opportunities also new challenges such as sensor calibration, georeferencing as well as processing workflows, calibration/validation,  and derivation of relevant land cover information. The course will cover theory and practice to apply UAVs in environmental research and its use for remote sensing analysis.

 

Coding

Coding examples and individual work will be covered

Software

Various software programs will be used, but mainly OpenSource software such as R.

Techniques

Different techniques will be introduced and practically applied.

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Content

The content of scientific with regard to the audience will be discussed.

General Course News and Updates

New 2018 EAGLE students now online

Web presence of you new EAGLE students is online. Our new 2018 EAGLE students created their own webspace in order to present the group and each student individually. Have a look who started EAGLE this year, read about their background and interests - and especially...

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EAGLE welcome 2018

Our new EAGLEs arrived! We welcomed our new international EAGLE students from the US, Ecuador, Bangladesh, Ruanda or Germany for the upcoming winter term and introduced the lectures as well as the courses. In the evening we had a joint dinner to get to...

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EAGLE Internships

On Monday, 24th of September, at 1pm the following internship reports will be presented: Bharath: "Installation and Characterization of an imaging Spectrometer for the UAV-based remote sensing" Johannes: "Crop classification based on S1/S2 in...

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