Aim
In this course we will learn the alternative image analysis paradigm of object-based image classification. Image objects are areas in images which consist of pixels from the same land-cover class (e.g. buildings, water surfaces, vegetation) and allow the application of additional image classification methods in comparison to pure pixel-based methods and the integration of multi-modal date (e.g. vector data).
In the course we will use satellite images and high resolution aerial images in combination with vector data and analyze various image classification methods (nearest neighbor -> random forests -> deep learning) to extract relevant information from the images.
We will use the software “eCognition”.
The course will be held on 3 days in Würzburg plus an introductory lecture which is being held online.
Content
Coding
Software
Techniques
Content
General Course News and Updates
EAGLE Innolab: Development of a QGIS Plugin for the Planning of Ground-Mounted Photovoltaic Systems
On June 16, 2025, Georg Starz will present his Innolab results on " Development of a QGIS Plugin for the Planning of Ground-mounted Photovoltaic Systems " at 10:00 in seminar room 3, John-Skilton-Str. 4a. From the abstract: After a decline in the mid-2010s, the...
EAGLE Master Defense: Enhancing Land Cover Classification in Southern Africa Using Multi-Sensor and Multi-Algorithm Approaches
On June 10, 2025, Christobal Tobbin will present his Master Thesis on " Enhancing Land Cover Classification in Southern Africa Using Multi-Sensor and Multi-Algorithm Approaches" at 12:00 in seminar room 3, John-Skilton-Str. 4a. From the abstract: The...
Radio Bavaria BR2 covered our activities at the Africa-Festival
Once again, our team proudly took part in the International Africa Festival in Würzburg, continuing our active participation within the University of Würzburg's exhibition—a tradition we’ve upheld for many years. This year’s event highlighted the ongoing commitment of...
🎓 Congratulations to Sunniva McKeever on a Successful MSc Defense! 🌍🌲
Today, we proudly celebrate our MSc student Sunniva McKeever, who has just successfully defended her Master thesis entitled: “Spatio-temporal Forest Structure Dynamics in Germany: A Synthesis of Remote Sensing Products.” Supervised by Prof. Dr. Tobias Ullmann,...
🚀 Hats Off to Janik Hoffmann for His Successful MSc Defense! 🛰📈
A big congratulations to Janik Hoffmann, who successfully defended his Master thesis today on the cutting-edge topic: “Deep Learning-driven SAR Image Super-Resolution.” Supervised by Prof. Dr. Tobias Ullmann and Dr. Wolfgang Koppe (Airbus Defence and Space GmbH),...
Behind the Lens: EAGLE Students Marlene & Anna Took Over Uni Würzburg’s Instagram!
What happens when two passionate Earth Observation students take the reins of the University of Würzburg’s Instagram account? A few days full of inspiration, insights, and a whole lot of drone footage! 🌍🚁 EAGLE MSc students Marlene and Anna recently...
Spatial R Packages Showcase by our EAGLE students
We are very proud to share the diverse submissions of spatial R packages within the EAGLE M.Sc. course of Ariane Droin and Martin Wegmann aiming at advancing our students' knowlege about programming for environmental analysis, geospatial visualization, and ecological...
EAGLE Master Defense: Deep Learning-driven SAR Image Super-Resolution
On May 20, 2025, Janik Hoffmann will present his Master thesis on Deep Learning-driven SAR Image Super-Resolution" at 13:00 in seminar room 3, John-Skilton-Str. 4a. From the abstract: Synthetic Aperture Radar (SAR) is a microwave remote sensing system that is used for...
EAGLE Master Defense: Spatio-temporal Forest Structure Dynamics in Germany: A Synthesis of Remote Sensing Products
On May 20, 2025, Sunniva McKeever will present her Master thesis on " Spatio-temporal Forest Structure Dynamics in Germany: A Synthesis of Remote Sensing Products" at 12:00 in seminar room 3, John-Skilton-Str. 4a. From the abstract: Germany’s forests have experienced...
News article: EAGLEs Use Drones for Innovative Conservation Efforts in Seychelles
The work by our interns Anna and Marlene was covered in Seychelles Newspaper. The articles covers how Anna and Marlene successfully utilized drone technology to monitor and assess wildlife and environmental health across the archipelago. Their efforts, supervised by...