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 Thesis Presentation “Animal Path Segmentation and Analysis via Deep Neural Network Regression”
On January 14, 2025, Konstantin Müller will defend his master thesis " Animal Path Segmentation and Analysis via Deep Neural Network Regression " at 12:00 in seminar room 3, John-Skilton-Str. 4a. From the abstract: Animals play a vital role for well-functioning...
Internship Presentation: Application of synthetic aperture radar (SAR) data: Case study in flood mapping in Costa Rica and technical capacity building of the PRIAS team
On December 17, 2024, Ariana Sofía Argüello Cordero will present her internship " Application of synthetic aperture radar (SAR) data: Case study in flood mapping in Costa Rica and technical capacity building of the PRIAS team" at 12:00 in seminar room 3,...
Master Defense by Isabella Metz: ” Analysis of Uncertainties for Error Detection and Quantification of Bathymetry Data from Multispectral Sentinel-2 Imagery
On January 07, 2025, Isabella Metz will defend her master thesis on " Analysis of Uncertainties for Error Detection and Quantification of Bathymetry Data from Multispectral Sentinel-2 Imagery" at 13:00 in seminar room 3, John-Skilton-Str. 4a. From the abstract: In...
EAGLE presentation by Gökçe Yağmur Budak
On November 26, 2024, Gökçe Yağmur Budak will present her internship results on " Leveraging Data-Driven Approaches for Seismic Risk Assessment in Istanbul " at 12:30 in seminar room 3, John-Skilton-Str. 4a. From the abstract: This internship aims to create time...
Master Defense: Towards a quantitative terrain-based avalanche size classification: a case study based on Avalanche Modelling Atlas Thalweg data
On September 18, Magdalena Fischer will present her master thesis " Towards a quantitative terrain-based avalanche size classification: a case study based on Avalanche Modelling Atlas Thalweg data" at 13:00 in seminar room 3, John-Skilton-Str. 4a. From the...
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...
Master Defense: Regionalisation and Characterisation of Grasslands in the EU based on Remote Sensing Data
On September 17, Daniel Gruschwitz will present his master thesis " Detection of hedgerows and copses in the agricultural landscape of Lower Franconia (Germany) using earth observation data" at 13:30 in seminar room 3, John-Skilton-Str. 4a. From the abstract: In the...
Master Defense: Detection of hedgerows and copses in the agricultural landscape of Lower Franconia (Germany) using earth observation data
On September 17, Verena Stegmaier will presenter her master thesis " Detection of hedgerows and copses in the agricultural landscape of Lower Franconia (Germany) using earth observation data" at 12:30 in seminar room 3, John-Skilton-Str. 4a. From the abstract:...
Innolab Presentation: Enhancing Satellite Data Processing for Global Shallow Water Bathymetry at EOMAP
On September 10, 2024, Isabella Metz will present her Inno Lab results on " Enhancing Satellite Data Processing for Global Shallow Water Bathymetry at EOMAP" at 12:00 in seminar room 3, John-Skilton-Str. 4a. From the abstract: About 75% of the oceans have not yet been...
Internship Presentation: Application of synthetic aperture radar (SAR) data: Case study in flood mapping in Costa Rica and technical capacity building of the PRIAS team
On October 01, 2024, Ariana Sofía Argüello Cordero will present her internship " Application of synthetic aperture radar (SAR) data: Case study in flood mapping in Costa Rica and technical capacity building of the PRIAS team" at 12:00 in seminar room 3,...