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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Spatial R Packages Showcase by our EAGLE students

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...