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Show 1 to 10 of 214 results

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 In: (eds.), , -. \| Peer reviewed
GEO-OPEN-HACK: An Initiative on Big Geospatial Data Processing with Open Computing Infrastructure and Open Tools In: (eds.), , -. \| Peer reviewed
Random forests with spatial proxies for environmental modelling: opportunities and pitfalls In: , -. \| Peer reviewed
Estimating Soil Parameters From Hyperspectral Images: A benchmark dataset and the outcome of the HYPERVIEW challenge In: . \| Peer reviewed
Standardizing Machine Learning APIs for Earth Observation Data Cubes In: . . \| Peer reviewed

Ho Y; Heisig J; Milenković M; Parente L; Hengl T; Simoes R

(2025)

P. Kempeneers, S. Lumnitz, S. Albani

Proceedings of the 2025 Conference on Big Data from Space (BiDS'25)

Riga, Latvia:

Research article in edited proceedings (conference)

| Published

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)

P. Kempeneers, S. Lumnitz, S. Albani

Proceedings of the 2025 Conference on Big Data from Space (BiDS'25)

Riga, Latvia:

Research article in edited proceedings (conference)

| Published

Milà C; Ludwig M; Pebesma E; Tonne C; Meyer H

(2024)

Geoscientific Model Development

, 2024

(17)

6007

603

doi:10.5194/gmd-17-6007-2024

Research article (journal)

| Published

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)

IEEE Geoscience and Remote Sensing Magazine

, 2024

doi:10.1109/MGRS.2024.3394040

Research article (journal)

| Published

Pondi, Brian ; Pebesma, Edzer

(2024)

The 5th Spatial Data Science

, Online

, Germany

The 5th Spatial Data Science

Research article in digital collection (conference)

| Published

Publications Office of the European Union. doi:10.2760/2119408

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 In: (eds.), , -. \| Peer reviewed
GEO-OPEN-HACK: An Initiative on Big Geospatial Data Processing with Open Computing Infrastructure and Open Tools In: (eds.), , -. \| Peer reviewed
Random forests with spatial proxies for environmental modelling: opportunities and pitfalls In: , -. \| Peer reviewed
Estimating Soil Parameters From Hyperspectral Images: A benchmark dataset and the outcome of the HYPERVIEW challenge In: . \| Peer reviewed
Standardizing Machine Learning APIs for Earth Observation Data Cubes In: . . \| Peer reviewed