Learning to forecast vegetation greenness at fine resolution over Africa with 
ConvLSTMs

Robin, Claire; Requena Mesa, Christian; Benson, Vitus; Alonso, Lazaro; Poehls, Jeran; Carvalhais, Nuno; Reichstein, Markus

doi:10.48550/arXiv.2210.13648

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Learning to forecast vegetation greenness at fine resolution over Africa with ConvLSTMs

MPS-Authors

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

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Requena Mesa, Christian
Model-Data Integration, Dr. Nuno Carvalhais, Department Biogeochemical Integration, Prof. Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society;
IMPRS International Max Planck Research School for Global Biogeochemical Cycles, Max Planck Institute for Biogeochemistry, Max Planck Society;

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Benson, Vitus
Department Biogeochemical Integration, Prof. Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society;
IMPRS International Max Planck Research School for Global Biogeochemical Cycles, Max Planck Institute for Biogeochemistry, Max Planck Society;

/persons/resource/persons289434

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

/persons/resource/persons289444

Poehls, Jeran
IMPRS International Max Planck Research School for Global Biogeochemical Cycles, Max Planck Institute for Biogeochemistry, Max Planck Society;
Model-Data Integration, Dr. Nuno Carvalhais, Department Biogeochemical Integration, Prof. Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society;

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Carvalhais, Nuno
Model-Data Integration, Dr. Nuno Carvalhais, 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;

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https://doi.org/10.48550/arXiv.2210.13648
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Citation

Robin, C., Requena Mesa, C., Benson, V., Alonso, L., Poehls, J., Carvalhais, N., et al. (2022). Learning to forecast vegetation greenness at fine resolution over Africa with ConvLSTMs. arXiv. doi:10.48550/arXiv.2210.13648.

Cite as: https://hdl.handle.net/21.11116/0000-000D-150F-C

Abstract

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