Articles | Volume 19, issue 11
Biogeosciences, 19, 2805–2840, 2022
https://doi.org/10.5194/bg-19-2805-2022
Biogeosciences, 19, 2805–2840, 2022
https://doi.org/10.5194/bg-19-2805-2022
Technical note
08 Jun 2022
Technical note | 08 Jun 2022

Technical note: A view from space on global flux towers by MODIS and Landsat: the FluxnetEO data set

Sophia Walther et al.

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Cited articles

Badgley, G., Field, C. B., and Berry, J. A.: Canopy near-infrared reflectance and terrestrial photosynthesis, Sc. Adv., 3, https://doi.org/10.1126/sciadv.1602244, 2017. a
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Baldocchi, D. D.: How eddy covariance flux measurements have contributed to our understanding of Glob. Change Biol., Glob. Change Biol., 26, 242–260, https://doi.org/10.1111/gcb.14807, 2020. a
Bao, S., Wutzler, T., Koirala, S., Cuntz, M., Ibrom, A., Besnard, S., Walther, S., Šigut, L., Moreno, A., Weber, U., Wohlfahrt, G., Cleverly, J., Migliavacca, M., Woodgate, W., Merbold, L., Veenendaal, E., and Carvalhais, N.: Environment-sensitivity functions for gross primary productivity in light use efficiency models, Agr. Forest Meteorol., 312, 108708, https://doi.org/10.1016/j.agrformet.2021.108708, 2022. a
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Satellite observations help interpret station measurements of local carbon, water, and energy exchange between the land surface and the atmosphere and are indispensable for simulations of the same in land surface models and their evaluation. We propose generalisable and efficient approaches to systematically ensure high quality and to estimate values in data gaps. We apply them to satellite data of surface reflectance and temperature with different resolutions at the stations.
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