Biogeosciences
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Articles | Volume 21, issue 16
Articles | Volume 21, issue 16
https://doi.org/10.5194/bg-21-3593-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-21-3593-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 21, issue 16
Research article
 | 
16 Aug 2024
Research article |  | 16 Aug 2024

Monitoring cropland daily carbon dioxide exchange at field scales with Sentinel-2 satellite imagery

Pia Gottschalk, Aram Kalhori, Zhan Li, Christian Wille, and Torsten Sachs

Supplement

https://doi.org/10.5194/bg-21-3593-2024-supplement

Data sets

Half-hourly CO2 eddy covariance flux data, associated meteorological data and Sentinel-2 derived vegetation indices (7) for 05/03/2020 - 23/08/2022 Pia Gottschalk et al. https://doi.org/10.5880/GFZ.1.4.2024.001

Model code and software

Code for linking half-hourly CO2 eddy covariance flux data with Sentinel-2 derived vegetation indices (7) for 05/03/2020 - 23/08/2022 Pia Gottschalk et al. https://doi.org/10.5880/GFZ.1.4.2024.002

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Short summary
To improve the accuracy of spatial carbon exchange estimates, we evaluated simple linear models for net ecosystem exchange (NEE) and gross primary productivity (GPP) and how they can be used to upscale the CO2 exchange of agricultural fields. The models are solely driven by Sentinel-2-derived vegetation indices (VIs). Evaluations show that different VIs have variable power to estimate NEE and GPP of crops in different years. The overall performance is as good as results from complex crop models.
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