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).

Forschungsartikel (Zeitschrift)

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 (Hrsg.), Proceedings of the 2025 Conference on Big Data from Space (BiDS'25). Riga, Latvia: .

Forschungsartikel in Sammelband (Konferenz)

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).

Forschungsartikel (Zeitschrift)

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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). Forschungsartikel (Zeitschrift)
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 (Hrsg.), Proceedings of the 2025 Conference on Big Data from Space (BiDS'25). Riga, Latvia: . Forschungsartikel in Sammelband (Konferenz)
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 (Hrsg.), Proceedings of the 2025 Conference on Big Data from Space (BiDS'25). Riga, Latvia: . Forschungsartikel in Sammelband (Konferenz)
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). Forschungsartikel (Zeitschrift)
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). Forschungsartikel (Zeitschrift)
Predicting Wildfire Fuels and Hazard in a Central European Temperate Forest Using Active and Passive Remote Sensing Heisig Johannes , Olson Edward , Pebesma Edzer (2022) In: Fire, 5(1). Forschungsartikel (Zeitschrift)