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  Multi-modal learning for geospatial vegetation forecasting

Benson, V., Robin, C., Requena Mesa, C., Alonso, L., Carvalhais, N., Cortés, J., et al. (2024). Multi-modal learning for geospatial vegetation forecasting. In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). doi:10.1109/CVPR52733.2024.02625.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0010-0F46-0 Version Permalink: https://hdl.handle.net/21.11116/0000-0010-7063-0
Genre: Conference Paper

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https://doi.org/10.1109/CVPR52733.2024.02625 (Publisher version)
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 Creators:
Benson, Vitus1, 2, Author           
Robin, Claire1, 3, Author           
Requena Mesa, Christian3, Author           
Alonso, Lazaro3, Author           
Carvalhais, Nuno3, Author           
Cortés, José4, Author           
Gao, Zhihan, Author
Linscheid, Nora1, 4, Author           
Weynants, Melanie5, Author           
Reichstein, Markus6, Author                 
Affiliations:
1IMPRS International Max Planck Research School for Global Biogeochemical Cycles, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1497757              
2Atmosphere-Biosphere Coupling, Climate and Causality, Dr. Alexander J. Winkler, Department Biogeochemical Integration, Prof. Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_3405368              
3Model-Data Integration, Dr. Nuno Carvalhais, Department Biogeochemical Integration, Prof. Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1938310              
4Climate-Ecosystem-Disturbance Interactions, Dr. Ana Bastos, Department Biogeochemical Integration, Prof. Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_3238342              
5Scalable Spatiotemporal Data Structures and Analytics (SSDSA), Dr. Fabian Gans, Department Biogeochemical Integration, Prof. Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_3629749              
6Department Biogeochemical Integration, Prof. Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1688139              

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 Dates: 2024-112024-11
 Publication Status: Published online
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 Table of Contents: -
 Rev. Type: No review
 Identifiers: Other: BGC4697
DOI: 10.1109/CVPR52733.2024.02625
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Title: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Place of Event: Seattle
Start-/End Date: 2024-06-17 - 2024-06-21

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Title: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Source Genre: Proceedings
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