Johannes Heisig

Current affiliations

Professur für Geoinformatik (Prof. Pebesma)
Heisenbergstr. 2, 48149 Münster
E-Mail

Academic Education
since 06/2020	Geoinformatics, PhD, Wildfire Modeling in Central Europe
10/2017 - 03/2020	Environmental Geography, Master of Science, University of Bayreuth
10/2013 - 09/2017	Geography, Bachelor of Science, Ludwig-Maximilians-Universität München (LMU)
Work Experience
08/2022 - 05/2026	Research Associate, Open Earth Monitor & Cyberinfrastructure (Horizon Europe)

Publications

High-resolution canopy fuel maps based on GEDI: a foundation for wildfire modeling in Germany Heisig Johannes , Milenković Milutin , Pebesma Edzer (2025) In: Environmental Research: Ecology, 4(1), 1-20. doi:10.1088/2752-664X/adaaf9 Research article (journal) \| Peer reviewed \| Published
Open, Cloud-Optimized, Analysis-Ready Global GEDI Satellite LiDAR Dataset for Land Surface Applications Ho Y; Heisig J; Milenković M; Parente L; Hengl T; Simoes R (2025) In: P. Kempeneers, S. Lumnitz, S. Albani (eds.), Proceedings of the 2025 Conference on Big Data from Space (BiDS'25), 69-72. Riga, Latvia: Publications Office of the European Union. doi:10.2760/2119408 Research article in edited proceedings (conference) \| Peer reviewed \| Published
GEO-OPEN-HACK: An Initiative on Big Geospatial Data Processing with Open Computing Infrastructure and Open Tools Milenković M; Amatulli G; Sethi T; Oonk R; Fouilloux A; Odaka T; Claus M; Premier V; Fonseca A; Kempeneers P; Lovergine FP; Parente L; Ho Y; Heisig J; Masiliunas D; Wagner W; Pebesma E; Griffiths P; Verbesselt J; Hengl T; McCallum I; Fritz S (2025) In: P. Kempeneers, S. Lumnitz, S. Albani (eds.), Proceedings of the 2025 Conference on Big Data from Space (BiDS'25), 81-84. Riga, Latvia: Publications Office of the European Union. doi:10.2760/2119408 Research article in edited proceedings (conference) \| Peer reviewed \| Published
Using GEDI as training data for an ongoing mapping of landscape-scale dynamics of the plant area index Ziegler, A; Heisig, J; Ludwig, M; Reudenbach, C; Meyer, H; Nauss, T (2023) In: Environmental Research Letters, 18(7). doi:10.1088/1748-9326/acde8f Research article (journal) \| Peer reviewed \| Published
Forest tree species distribution for Europe 2000–2020: mapping potential and realized distributions using spatiotemporal machine learning Bonannella Carmelo , Hengl Tomislav , Heisig Johannes , Parente Leandro , Wright N. Marvin , Herold Martin , Bruin de Sytze (2022) In: PeerJ, 10(e13728). doi:10.7717/peerj.13728 Research article (journal) \| Peer reviewed \| Published

Show all publications (6)