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

Walther, Sophia; Besnard, Simon; Nelson, Jacob Allen; El-Madany, Tarek Sebastian; Migliavacca, Mirco; Weber, Ulrich; Carvalhais, Nuno; Ermida, Sofia Lorena; Brümmer, Christian; Schrader, Frederik; Prokushkin, Anatoly Stanislavovich; Panov, Alexey Vasilevich; Jung, Martin

doi:https://doi.org/10.5194/bg-19-2805-2022

Articles | Volume 19, issue 11

Biogeosciences, 19, 2805–2840, 2022

https://doi.org/10.5194/bg-19-2805-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Biogeosciences, 19, 2805–2840, 2022

https://doi.org/10.5194/bg-19-2805-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 19, issue 11

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.

Data sets

Technical note: A view from space on global flux towers by MODIS and Landsat: The FluxnetEO dataset (MODIS) Sophia Walther, Simon Besnard, Jacob A. Nelson, Tarek S. El-Madany, Mirco Migliavacca, Ulrich Weber, Sofia L. Ermida, Christian Brümmer, Frederik Schrader, Anatoly S. Prokushkin, Alexey V. Panov, and Martin Jung https://doi.org/10.18160/XTV7-WXVZ

Technical note: A view from space on global flux towers by MODIS and Landsat: The FluxnetEO dataset (Landsat) Sophia Walther, Simon Besnard, Jacob A. Nelson, Tarek S. El-Madany, Mirco Migliavacca, Ulrich Weber, Sofia L. Ermida, Christian Brümmer, Frederik Schrader, Anatoly S. Prokushkin, Alexey V. Panov, and Martin Jung https://doi.org/10.18160/0Z7J-J3TR

Short summary

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.