AgriCarbon-EO v1.0.1: large-scale and high-resolution simulation of carbon fluxes by assimilation of Sentinel-2 and Landsat-8 reflectances using a Bayesian approach

Wijmer, Taeken; Al Bitar, Ahmad; Arnaud, Ludovic; Fieuzal, Remy; Ceschia, Eric

doi:https://doi.org/10.5194/gmd-17-997-2024

Articles | Volume 17, issue 3

https://doi.org/10.5194/gmd-17-997-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-17-997-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 17, issue 3

Model description paper

|

07 Feb 2024

Model description paper |

| 07 Feb 2024

AgriCarbon-EO v1.0.1: large-scale and high-resolution simulation of carbon fluxes by assimilation of Sentinel-2 and Landsat-8 reflectances using a Bayesian approach

Taeken Wijmer, Ahmad Al Bitar, Ludovic Arnaud, Remy Fieuzal, and Eric Ceschia

Supplement

https://doi.org/10.5194/gmd-17-997-2024-supplement

Data sets

AgriCarbon-EO Winter wheat Net Ecosystem Exchange and Biomass over South-west France at 10 m resolution Taeken Wijmer et al. https://doi.org/10.5281/zenodo.7534280

Registre Parcellaire Graphique – 2017 ASP https://doi.org/10.34724/CASD.425.3139.V2

Registre Parcellaire Graphique – 2018 ASP https://doi.org/10.34724/CASD.425.3140.V1

egistre Parcellaire Graphique – 2019 ASP https://doi.org/10.34724/CASD.425.3709.V1

Model code and software

jgomezdans/prosail: Pip package bug fix release (2.0.3) Luis Mario Domenzain et al. https://doi.org/10.5281/zenodo.2574925

Short summary

Quantification of carbon fluxes of crops is an essential building block for the construction of...