Aim
This course provides detailed knowledge of programming or coding using spatial data, especially for remote sensing and GIS tasks.
Content
Different spatial programming approaches are covered using actual remote sensing and GIS data to enable the students to apply a variety of methods in a semi-automatic manner for remote sensing data analysis. All methods will be practically applied during the course using the programming language R and maybe other programs such as GRASS, SAGA, QGIS or OTB. This course continues where the “Programming and Geostatistics” courses stopped and is considered a prerequisite. Both courses are tightly linked
Coding
Software
Techniques
Content
General Course News and Updates
Across Cohorts and Borders: EAGLE Students Celebrate the Winter Term Together
As the winter term ends, the international students of our EAGLE M.Sc. programme gathered for an evening that was less about deadlines and data and more about community. After months of intensive coursework and research, the celebration offered a warm pause in their...
Learning Geospatial Tools in Practice: whitebox
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...
EAGLE Internship Presentation: “Internship at Helmholtz Zentrum Munich”
On February 03, 2026, Agnes Zwick will present her internship "Internship at Helmholtz Zentrum Munich" at 12:00 in seminar room 3, John-Skilton-Str. 4a. From the abstract: From September to October 2025, the internship was completed at the Helmholtz Zentrum München...
EAGLE MSc Defense: “Assessing the potential of thermal UAS for spatio-temporal Arctic snow monitoring – A pilot study in Bjørndalen, Svalbard”
On February 24, 2026, Lena Jäger will present her Master Thesis on "Assessing the potential of thermal UAS for spatio-temporal Arctic snow monitoring - A pilot study in Bjørndalen, Svalbard" at 12:00 in seminar room 3, John-Skilton-Str. 4a. From the abstract: The...
Learning Earth Observation Data Acquisition in Real-World Conditions
As part of our course on Earth Observation data acquisition, EAGLE students experience first-hand that even the best planning is ultimately shaped by the weather. While flight plans, measurement strategies, and schedules can be carefully prepared in advance, field...
Snow Research at Schneefernerhaus, Zugspitze
Recently, our team carried out another successful field campaign at the Schneefernerhaus research station on the Zugspitze in the Alps. Together with our EAGLE students, we collected UAS-based environmental data alongside detailed in-situ measurements of snow...