Preprints
https://doi.org/10.5194/bg-2021-314
https://doi.org/10.5194/bg-2021-314

  25 Nov 2021

25 Nov 2021

Review status: this preprint is currently under review for the journal BG.

Technical note: A view from space on global flux towers by MODIS and Landsat: The FluxnetEO dataset

Sophia Walther1, Simon Besnard1,2, Jacob A. Nelson1, Tarek S. El-Madany1, Mirco Migliavacca1,5, Ulrich Weber1, Sofia L. Ermida3,4, Christian Brümmer6, Frederik Schrader6, Anatoly S. Prokushkin7, Alexey V. Panov7, and Martin Jung1 Sophia Walther et al.
  • 1Max-Planck-Institute for Biogeochemistry, Hans-Knöll-Straße 10, Jena, Germany
  • 2South Pole, Digital Innovation, Fred. Roeskestraat 115, Amsterdam, The Netherlands
  • 3Instituto Português do Mar e da Atmosfera, Rua C do Aeroporto 1749-077 Lisbon, Portugal
  • 4Instituto Dom Luiz, Faculdade de Ciências da Universidade de Lisboa, Campo Grande Edifício C1, Piso 1, 1749-016 Lisbon, Portugal
  • 5European Commission, Joint Research Centre, Via Fermi 2749, Ispra (VA), Italy
  • 6Thünen Institute of Climate-Smart Agriculture, Bundesallee 65, Braunschweig, Germany
  • 7V.N. Sukachev Institute of Forest of the Siberian Branch of Russian Academy of Sciences – separated department of the KSC SB RAS, Akademgorodok 50/28, Krasnoyarsk, Russia

Abstract. The eddy-covariance technique measures carbon, water, and energy fluxes between the land surface and the atmosphere at several hundreds of sites globally. Collections of standardised and homogenised flux estimates such as the LaThuile, Fluxnet2015, National Ecological Observatory Network (NEON), Integrated Carbon Observation System (ICOS), AsiaFlux, and Terrestrial Ecosystem Research Network (TERN) / OzFlux data sets are invaluable to study land surface processes and vegetation functioning at the ecosystem scale. Space-borne measurements give complementary information on the state of the land surface in the surroundings of the towers. They aid the interpretation of the fluxes and support the training and validation of ecosystem models. However, insufficient quality, frequent and/or long gaps are recurrent problems in applying the remotely sensed data and may considerably affect the scientific conclusions drawn from them. Here, we describe a standardised procedure to extract, quality filter, and gap-fill Earth observation data from the MODIS instruments and the Landsat satellites. The methods consistently process surface reflectance in individual spectral bands, derived vegetation indices and land surface temperature. A geometrical correction estimates the magnitude of land surface temperature as if seen from nadir or 40° off-nadir. We offer to the community pre-processed Earth observation data in a radius of 2 km around 338 flux sites based on the MCD43A4/A2, MxD11A1 MODIS products and Landsat collection~1 Tier1 and Tier2 products. The data sets we provide can widely facilitate the integration of activities in the fields of eddy-covariance, remote sensing and modelling.

Sophia Walther et al.

Status: open (until 06 Jan 2022)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on bg-2021-314', Michael Dietze, 30 Nov 2021 reply
    • AC1: 'Reply on CC1', Sophia Walther, 07 Dec 2021 reply

Sophia Walther et al.

Data sets

Technical note: A view from space on global flux towers by MODIS and Landsat: The FluxnetEO dataset (Landsat) Sophia Walther and Simon Besnard and Jacob A. Nelson and Tarek S. El-Madany and Mirco Migliavacca and Ulrich Weber and Sofia L. Ermida and Christian Brümmer and Frederik Schrader and Anatoly S. Prokushkin and Alexey V. Panov and Martin Jung https://meta.icos-cp.eu/collections/-x7_Z4PGRuav5QzwgEY_DErM

Technical note: A view from space on global flux towers by MODIS and Landsat: The FluxnetEO dataset (MODIS) Sophia Walther and Simon Besnard and Jacob A. Nelson and Tarek S. El-Madany and Mirco Migliavacca and Ulrich Weber and Sofia L. Ermida and Christian Brümmer and Frederik Schrader and Anatoly S. Prokushkin and Alexey V. Panov and Martin Jung https://meta.icos-cp.eu/collections/tEAkpU6UduMMONrFyym5-tUW

Sophia Walther et al.

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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.
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