Deployment of a multi-classifier approach to improve land cover classification accuracy

multi_classifierThis study will examine whether the application of hybrid classifiers increases the classification accuracy in comparison to a single classifier. A combination between parametric and non-parametric classifiers will be applied and their performance will be assessed. The student is expected to gain a deep knowledge of applied Machine Learning algorithms within this innovation laboratory.

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DGPF award for our EAGLE MSc Luisa Wagner

DGPF award for our EAGLE MSc Luisa Wagner

by | Mar 20, 2024 |

We are very happy to congratulate our former EAGLE student Luisa Wagner for the 2nd prize of the Karl‐Kraus‐Nachwuchsförderpreis 2024. Luisa received this award for her M.Sc. thesis which she handed in early last year on "Analysis of ice shelf front dynamics in Pine...

High alpine and snow training

High alpine and snow training

by | Feb 23, 2024 |

In collaboration with the German Alpine Club (DAV), Laura, one of our EAGLE students and Clara, a student assistant at our institute, recently participated in avalanche rescue training aimed at equipping individuals with essential skills and knowledge to respond...

semester wrap-up by our latest EAGLE generation

semester wrap-up by our latest EAGLE generation

by | Feb 20, 2024 |

Our latest generation of EAGLEs just wrote a nice blog post summarizing their first months within the EAGLE program, outlining how they bonded and formed a group plus how they experienced their first earth observation courses within our international M.Sc. program:...