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Preprint

High-resolution remote sensing and machine-learning-based upscaling of methane fluxes: a case study in the Western Canadian tundra

MPS-Authors
/persons/resource/persons37113

Brovkin,  Victor       
Climate-Biosphere Interaction, Department Climate Dynamics, MPI for Meteorology, Max Planck Society;

/persons/resource/persons37233

Stacke,  Tobias       
Climate-Biogeosphere Interaction, Department Climate Dynamics, MPI for Meteorology, Max Planck Society;

External Resource

https://doi.org/10.5281/zenodo.15399084
(Code)

https://doi.org/10.5281/zenodo.15753253
(Research data)

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Fulltext (public)

egusphere-2025-3968.pdf
(Preprint), 6MB

Supplementary Material (public)
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Citation

Ivanova, K., Virkkala, A.-M., Brovkin, V., Stacke, T., Widhalm, B., Bartsch, A., et al. (2025). High-resolution remote sensing and machine-learning-based upscaling of methane fluxes: a case study in the Western Canadian tundra. EGUsphere. doi:10.5194/egusphere-2025-3968.


Cite as: https://hdl.handle.net/21.11116/0000-0011-B72E-C
Abstract
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