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).
Content
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.
Session 1: getting to know to image objects and eConition software, basic classification methods
Session 2: advanced classification (Machine Learning)
Session 3: Deep Learning
Coding
Software
Techniques
Content
General Course News and Updates
EAGLE Innolab Presentation: “From UAV to Satellite: Fractional Snow Cover Estimation at Sentinel-2 Resolution”
On March 03, 2026, Lutz Kleemann will present his Innolab results on "From UAV to Satellite: Fractional Snow Cover Estimation at Sentinel-2 Resolution" at 12:00 in seminar room 3, John-Skilton-Str. 4a. From the abstract: Fractional Snow Cover (FSC) estimation is an...
EAGLE Internship Presentation “Stream flow assessment and Irrigation demand in Central Asia (Aral Sea)”
On February 05, 2026, Anugraha Das will present her internship results on " Stream flow assessment and Irrigation demand in Central Asia (Aral Sea )" at 12:00 in seminar room 3, John-Skilton-Str. 4a. From the abstract: This presentation assesses streamflow dynamics...
EAGLE Internship Presentation “Recommended Practices for Urban Flood Mapping in Emergency Response”
On February 10, 2026, Laura Obrecht will present her internship results on " Recommended Practices for Urban Flood Mapping in Emergency Response" at 12:00 in seminar room 3, John-Skilton-Str. 4a.type of presentation: From the abstract: Flood detection in urban...
EAGLE Internship Presentation ” Internship on Svalbard”
On February 24, 2026, Leonie Sonntag and Jannis Midasch will present their internship results on " Internship on Svalbard" at 13:00 in seminar room 3, John-Skilton-Str. 4a. From the abstract: During March and April 2025, the two EAGLE students Leonie Sonntag and...
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A central goal of the EAGLE Earth Observation programme is to equip students with a broad and practical understanding of the software tools used in geospatial analysis. Rather than focusing on a single platform, students are encouraged to explore different approaches,...
Mapping Disasters from Space: Inside the EAGLE MSc Course on Natural Hazards
From raging wildfires to devastating floods, natural hazards are becoming more frequent, more intense, and harder to predict. In this rapidly changing world, the ability to understand disasters as they unfold is no longer optional—it’s essential. This is exactly where...
From Satellites to Snow Angels
Our EAGLE M.Sc. students, coming from all over the world, are making the most of the short breaks between courses. Whether it’s spontaneous snow angel sessions or friendly snowball fights around the EORC, laughter and flying snow are never far away. These moments of...
Where Learning Meets Friendship
At EAGLE, studying together is only part of the story. Our students are more than classmates — they’re hiking buddies, party companions, and the kind of people who show up to lectures with birthday cakes 🎂. Today was a perfect example. Our EAGLE student...
EAGLE Innolab Presentation: “Gap-Filling Optical NDVI Using SAR-Derived Indices and Machine Learning”
On February 10, 2026, Mahnoor Nadeem will present her Innolab results on " Gap-Filling Optical NDVI Using SAR-Derived Indices and Machine Learning" at 12:00 in seminar room 3, John-Skilton-Str. 4a. From the abstract: Normalized Difference Vegetation Index (NDVI) is...