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Forecasting Crop Yield Based on the Satellite Monitoring of Carbon Dynamics in Terrestrial Ecosystems

  • USE OF SPACE INFORMATION ABOUT THE EARTH ENVIRONMENTAL STUDIES BASED ON SPACE DATA
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Abstract

A low-parametric model of crop biomass dynamics using the data of satellite remote sensing of the underlying surface vegetation index and routine meteorological observations is proposed. Modeling is being done with this data filtered by yield-correlation image masking technique. The simulation is based on the Monteith equation for carbon dynamics in terrestrial ecosystems. Meteorological parameters that have an effect on the photosynthesis intensity but are rarely measured directly are calculated on the basis of analytical parameterizations obtained from reanalysis data. The validity of the model is demonstrated by the example of satellite monitoring of the spring wheat yield in the regions of the Republic of Belarus (RB).

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  1. Institute for Nature Management, National Academy of Sciences of Belarus, 220072, Minsk, Belarus

    S. A. Lysenko

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Translated by V. Selikhanovich

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Lysenko, S.A. Forecasting Crop Yield Based on the Satellite Monitoring of Carbon Dynamics in Terrestrial Ecosystems. Izv. Atmos. Ocean. Phys. 56, 1127–1135 (2020). https://doi.org/10.1134/S0001433820090170

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