Published June 21, 2021 | Version 1.0.0
Dataset Open


  • 1. Department of Geodesy and Geoinformation, TU Wien, Wiedner Hauptstraße 8, 1040 Vienna, Austria
  • 2. Zentralanstalt für Meteorologie und Geodynamik (ZAMG), Hohe Warte 38, 1190 Vienna, Austria
  • 3. Environmental Remote Sensing Group, Institute of Photogrammetry and Remote Sensing, Technische Universität Dresden, Helmholtzstraße 10, 01069 Dresden, Germany
  • 4. VanderSat, Wilhelminastraat 43A, 2011 VK Haarlem, the Netherlands
  • 5. College of Life and Environmental Sciences, University of Exeter, Exeter, EX4 4QE, UK


The data descriptor paper can be accessed here:


Gross Primary Productivity (GPP) describes the amount of carbohydrates that is produced by vegetation's synthesis of CO2 and is therefore crucial in the assessment of the global carbon cycle. VODCA2GPP represents the first microwave remote sensing derived GPP dataset and covers the period between 1988-2020. The data is sampled on a regular 0.25°x 0.25° grid and is based on the novel sink-driven GPP estimation approach introduced by Teubner et al. (2019) and Teubner et al. (2021). It utilizes the new merged-frequency Vegetation Optical Depth Climate Archive (VODCA CXKu; Zotta et al., in preparation) in combination with ERA5-Land air temperature data to produce a coherent long-term data record of global GPP. 

The dataset also includes an uncertainty metric (var_name: 'Uncertainties') which indicates regions where VODCA2GPP estimates tend to be less robust. We advise users to take these uncertainties into account when analyzing the VODCA2GPP data. 

For more details concerning the production of VODCA2GPP and its accuracy assessment please be referred to our dataset paper which was published in Earth System Science Data Wild et al. (2022).



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June 21, 2021
August 31, 2023