Anton Donle
Research Assistant
University of Hildesheim
Anton Donle is a data scientist specializing in Earth observation and geospatial analysis. With a background in AI and sustainability, he applies machine learning to satellite imagery to monitor ecosystems and support decision-making in land management. His goal is to use AI and data science methods for a sustainable cause. Within the SMALLPAK project he works on work package two (WP2), developing and evaluating the applicability of digital innovations for smallholder farmers in Pakistan, including phenology-aware cotton condition monitoring in Multan. In his masters thesis he worked on tree classification in burned areas.
Research interests
- Remote sensing / GIS
- Geospatial Machine Learning
- Sustainable AI
- Ecosystem Monitoring
Education
2024 – 2026
M.Sc. Artificial Intelligence for Sustainable Societies, Tallinn University, Lusófona University Porto, Tampere University
2020 – 2023
B.Sc. Artificial Intelligence, Vrije Universiteit Amsterdam
Work experience
2026 - present
Research Associate, SMALLPAK Universität Hildesheim
2026
Geospatial Data Science Project Work At Development Seed, Lisbon, Portugal
2026
Research Assistant
Lusófona University Porto
2021 - 2023
Teaching Assistant
Vrije Universiteit Amsterdam
Selected publications
Donle, A., Velosa, C., Figueiredo, P., & de Vasconcelos, J. B. (2026, March). A Data Science Software Approach for Burned Forest Land Cover Classification and CO2 Emissions Calculation. In World Conference on Information Systems and Technologies (pp. 337-351). Cham: Springer Nature Switzerland.