Lecturer Spotlight: Ariane Droin

Lecturer Spotlight: Ariane Droin

June 30, 2026

Ariane Droin loves teaching. That much is obvious if you’ve ever sat in one of her classes. She holds two Master’s degrees, one in Applied Physical Geography and Mountain Research and one in Geospatial Technologies from the University of Graz. Along the way she sat through a lot of courses herself, good ones and bad ones, and that experience shaped her view of how teaching should be conducted. Her goal is to get every student to the same level, not just in terms of knowledge, but also in how they work together. For her, the best results are gained when people support each other rather than compete.

At EAGLE, she’s become one of the people students go to for spatial programming. It’s the course where people show up never having written a line of R and leave being able to write their own R-Package. She still remembers her own first programming course where she was completely lost and did not understand a word of that new language. That is why Ariane knows how important it is to make people understand the syntax of programming, which is why she focusses a lot of her energy on the fact that the students really understand what they are doing. Besides programming, she also teaches urban EO applications, which lines up with her own research interests.  Furthermore, she’s been involved in the courses that teach soft skills: for example scientific presentations or scientific graphs. Those are things that turn out to matter a lot once students are out doing fieldwork or job hunting.

This semester she’s working on something interesting with the UAS research team: a thermal time series over urban areas. Drone-mounted thermal sensors fly from before dawn until after sunset, taking measurements every 60 minutes. The idea is to compare the measured temperature from the drone with ground-based temperature sensors placed on different surface materials, and to see how their temperature-curve over the day evolves.

 

follow us and share it on:

you may also like:

Lecturer Spotlight: Mirjana Bevanda

Lecturer Spotlight: Mirjana Bevanda

There's a particular moment in the EAGLE program that shows that EAGLE is different, it is the moment the students realize their thesis isn't just another task to receive a M.Sc., their internship or InnoLab isn't just ECTS points, but it's a real world application....

Lecturer Spotlight: Julian Faeth

Lecturer Spotlight: Julian Faeth

Dr. Julian Fäth is a postdoctoral researcher at our EORC. His teaching combines remote sensing, forest ecology and geospatial data science with a strong focus on operational applications and climate adaptation. Since 2018, Julian has been actively involved in...

Lecturer Spotlight: Martin Bachmann

Lecturer Spotlight: Martin Bachmann

Martin's the lecturer who actually built the systems behind the hyperspectral data EAGLE students learn to analyze. He's a research scientist with the Land Surface Dynamics Department at DLR's German Remote Sensing Data Center in Wessling, and his over twenty years of...

Lecturer Spotlight: Tanja Kraus

Lecturer Spotlight: Tanja Kraus

Tanja is the lecturer whose work keeps landing directly on the desks of the people who actually have to act on it: Bavarian ministries, municipalities, foresters, farmers and planners. She joined DLR's German Remote Sensing Data Center (DFD) in 2002 and has been...

Lecturer Spotlight: Michael Wurm

Lecturer Spotlight: Michael Wurm

Michael's the guy you want in front of the class when it's time to actually open up an image and start segmenting it. At EAGLE he teaches the urban side of things: environmental exposure, pollutants, green space, noise, traffic, air pollution, urban heat islands. And...

Lecturer Spotlight: Florian Betz

Lecturer Spotlight: Florian Betz

If you've spent any time around EORC, you've probably crossed paths with Florian at some point, maybe standing knee deep in a riverbed somewhere in Central Asia, or deep in conversation about river dynamics. Florian is a Principal Investigator at the Earth Observation...

bzgl. Art. 50 Verordnung (EU) 2024/1689 (AI Act):

Überwiegend werden eigene originäre Texte und Bilder des EORC genutzt, jedoch sind einige Inhalte von blog post Texten teilweise mit Hilfe von KI überarbeitet worden und einige Bilder sind ganz mit KI erstellt, die jedoch deutlich keine photorealistische Darstellungen abbilden. Aussnahmen sind KI generierte fernerkundliche Datensätze, die explizit für Forschungszwecke mit KI erstellt wurden, hier wird aber durch den assoziierten Text der wissenschaftliche Grund der KI generierten Bilder erläutert.

Privacy Policy

Lehrstuhl für Fernerkundung & Lehrstuhl für Urbane Fernerkundung

Erdbeobachtung an der Universität Würzburg

Share This