Jakob Schwalb-Willmann

animal-environment interaction

About

Jakob is a scientist at the University of Würzburg with an academic background in Earth observation and spatial data science. His research focuses on the machine-learning-driven analysis and exploitation of integrated movement tracking and remote sensing data for geoanalytical applications. In particular, he is investigating techniques to recognize patterns in the interaction of animal movements and environmental conditions, e.g. to identify phenological events, detect environmental changes and disruptions or retrieve and label ground-truth data. He has extensive experience in using and developing Open Source software tools for the advanced analysis of imagery and spatial data, in particular for pattern learning and pattern recognition, and has a passion for visualizing data.

 

Courses

  • Advanced Programming (MET2): Practical training to strengthen technical skills. From web APIs and data visualization over machine learning for computer vision to automating development environments.

 

About

Jakob is a scientist at the University of Würzburg with an academic background in Earth observation and spatial data science. His research focuses on the machine-learning-driven analysis and exploitation of integrated movement tracking and remote sensing data for geoanalytical applications. In particular, he is investigating techniques to recognize patterns in the interaction of animal movements and environmental conditions, e.g. to identify phenological events, detect environmental changes and disruptions or retrieve and label ground-truth data. He has extensive experience in using and developing Open Source software tools for the advanced analysis of imagery and spatial data, in particular for pattern learning and pattern recognition, and has a passion for visualizing data.

 

Courses

  • Advanced Programming (MET2): Practical training to strengthen technical skills. From web APIs and data visualization over machine learning for computer vision to automating development environments.

 

Recent News

Master Defense: Comparing the suitability of remote sensing and wildlife camera time series for deriving phenological metrics of understory vegetation in temperate forests of Upper Franconia, Bavaria

Master Defense: Comparing the suitability of remote sensing and wildlife camera time series for deriving phenological metrics of understory vegetation in temperate forests of Upper Franconia, Bavaria

On September 18, Sarah Schneider will present her master thesis "Comparing the suitability of remote sensing and wildlife camera time series for deriving phenological metrics of understory vegetation in temperate forests of Upper Franconia, Bavaria" at 14:00 in...