Estimation of local training data point densities to support the assessment of spatial prediction uncertainty

Schumacher F; Knoth C; Ludwig M; Meyer H (2025)

In: Geoscientific Model Development, 18, 10185-10202. doi:10.5194/gmd-18-10185-2025

Research article (journal) | Peer reviewed | Published

Analysing a Multi-Criteria Analysis to Prioritise Munition Piles in the German Baltic Sea for Remediation

Pilz, Alexander; Frey, Torsten; Pebesma, Edzer (2025)

In: Degbelo, Auriol; Coetzee, Serena; Keßler, Carsten; Sester, Monika; Timpf, Sabine; Bernard, Lars (eds.), 28th AGILE Conference on Geographic Information Science “Geographic Information Science responding to Global Challenges”. AGILE GIScience Series:(6)43.

Research article in digital collection (conference) | Peer reviewed | Published

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

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: .

Research article in edited proceedings (conference) | Peer reviewed | Published

Estimating Soil Parameters From Hyperspectral Images: A benchmark dataset and the outcome of the HYPERVIEW challenge

Jakub Nalepa, Lukasz Tulczyjew, Bertrand Le Saux, Nicolas Longépé, Bogdan Ruszczak, Agata M Wijata, Krzysztof Smykala, Michal Myller, Michal Kawulok, Ridvan Salih Kuzu, Frauke Albrecht, Caroline Arnold, Mohammad Alasawedah, Suzanne Angeli, Delphine Nobileau, Achille Ballabeni, Alessandro Lotti, Alfredo Locarini, Dario Modenini, Paolo Tortora, Michal Gumiela (2024)

In: IEEE Geoscience and Remote Sensing Magazine, 2024. doi:10.1109/MGRS.2024.3394040

Research article (journal) | Peer reviewed | Published

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Estimation of local training data point densities to support the assessment of spatial prediction uncertainty Schumacher F; Knoth C; Ludwig M; Meyer H (2025) In: Geoscientific Model Development, 18, 10185-10202. doi:10.5194/gmd-18-10185-2025 Research article (journal) \| Peer reviewed \| Published
A synthesis of Sphagnum litterbag experiments: initial leaching losses bias decomposition rate estimates Teickner, Henning; Pebesma, Edzer; Knorr, Klaus-Holger (2025) In: Biogeosciences, 22(2), 417-433. doi:10.5194/bg-22-417-2025 Research article (journal) \| Peer reviewed \| Published
Analysing a Multi-Criteria Analysis to Prioritise Munition Piles in the German Baltic Sea for Remediation Pilz, Alexander; Frey, Torsten; Pebesma, Edzer (2025) In: Degbelo, Auriol; Coetzee, Serena; Keßler, Carsten; Sester, Monika; Timpf, Sabine; Bernard, Lars (eds.), 28th AGILE Conference on Geographic Information Science “Geographic Information Science responding to Global Challenges”. AGILE GIScience Series:(6)43. Research article in digital collection (conference) \| Peer reviewed \| Published
Peat oxic and anoxic controls of Sphagnum decomposition rates in the Holocene Peatland Model decomposition module estimated from litterbag data Teickner, Henning; Pebesma, Edzer; Knorr, Klaus-Holger (2025) In: Earth System Dynamics, 16(3), 891-914. doi:10.5194/esd-16-891-2025 Research article (journal) \| Peer reviewed \| Published
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: . 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: . Research article in edited proceedings (conference) \| Peer reviewed \| Published
Random forests with spatial proxies for environmental modelling: opportunities and pitfalls Milà C; Ludwig M; Pebesma E; Tonne C; Meyer H (2024) In: Geoscientific Model Development, 2024(17), 6007-603. doi:10.5194/gmd-17-6007-2024 Research article (journal) \| Peer reviewed \| Published
Estimating Soil Parameters From Hyperspectral Images: A benchmark dataset and the outcome of the HYPERVIEW challenge Jakub Nalepa, Lukasz Tulczyjew, Bertrand Le Saux, Nicolas Longépé, Bogdan Ruszczak, Agata M Wijata, Krzysztof Smykala, Michal Myller, Michal Kawulok, Ridvan Salih Kuzu, Frauke Albrecht, Caroline Arnold, Mohammad Alasawedah, Suzanne Angeli, Delphine Nobileau, Achille Ballabeni, Alessandro Lotti, Alfredo Locarini, Dario Modenini, Paolo Tortora, Michal Gumiela (2024) In: IEEE Geoscience and Remote Sensing Magazine, 2024. doi:10.1109/MGRS.2024.3394040 Research article (journal) \| Peer reviewed \| Published
Standardizing Machine Learning APIs for Earth Observation Data Cubes Pondi, Brian ; Pebesma, Edzer (2024) In: The 5th Spatial Data Science, Online, Germany. The 5th Spatial Data Science. Research article in digital collection (conference) \| Peer reviewed \| Published