Biogeosciences
Biogeosciences
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Articles | Volume 23, issue 18
Articles | Volume 23, issue 18
https://doi.org/10.5194/bg-23-6687-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-23-6687-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 23, issue 18
Research article
 | 
23 Sep 2026
Research article |  | 23 Sep 2026

Using deep learning to assimilate sun-induced fluorescence satellite observations in the ISBA land surface model

Pierre Vanderbecken, Jasmin Vural, Oscar Rojas-Muñoz, Sébastien Garrigues, Bertrand Bonan, Cédric Bacour, Uwe Rascher, Bastian Siegmann, Patricia de Rosnay, and Jean-Christophe Calvet

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Short summary
New satellite observations are used to improve our understanding of regional-scale vegetation. Innovative artificial intelligence methods are employed to combine the available information. The effectiveness of this approach is evaluated using independent observations. The results show that agricultural practices such as irrigation can be modelled more accurately.
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