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Preprint

DeepPhenoMem V1.0: Deep learning modelling of canopy greenness dynamics accounting for multi-variate meteorological memory effects on vegetation phenology

MPS-Authors
/persons/resource/persons294761

Liu,  Guohua
Climate-Ecosystem-Disturbance Interactions, Dr. Ana Bastos, Department Biogeochemical Integration, Prof. Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society;

/persons/resource/persons277742

Reimers,  Christian
Atmosphere-Biosphere Coupling, Climate and Causality, Dr. Alexander J. Winkler, Department Biogeochemical Integration, Prof. Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society;

/persons/resource/persons240731

Kraft,  Basil
Global Diagnostic Modelling, Dr. Martin Jung, Department Biogeochemical Integration, Prof. Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society;

/persons/resource/persons62524

Reichstein,  Markus       
Department Biogeochemical Integration, Prof. Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society;

/persons/resource/persons265811

Yang,  Hui
Model-Data Integration, Dr. Nuno Carvalhais, Department Biogeochemical Integration, Prof. Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society;

/persons/resource/persons206006

Winkler,  Alexander
Atmosphere-Biosphere Coupling, Climate and Causality, Dr. Alexander J. Winkler, Department Biogeochemical Integration, Prof. Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society;

External Resource

https://doi.org/10.5194/egusphere-2024-464
(Preprint)

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Fulltext (public)

BGC4517pr.pdf
(Preprint), 3MB

Supplementary Material (public)

BGC4517s1.pdf
(Supplementary material), 918KB

Citation

Liu, G., Migliavacca, M., Reimers, C., Kraft, B., Reichstein, M., Richardson, A., et al. (2024). DeepPhenoMem V1.0: Deep learning modelling of canopy greenness dynamics accounting for multi-variate meteorological memory effects on vegetation phenology. EGUsphere. doi:10.5194/egusphere-2024-464.


Cite as: https://hdl.handle.net/21.11116/0000-000E-A5E8-2
Abstract
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