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Determination of Equation Parameters as a Power Function for Forecasting the Yield of Agricultural Crops in Belarus Using Earth Remote Sensing Data

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Abstract

In this paper, we determine the parameters of the equation for predicting the yield of agricultural crops (wheat, barley, rapeseed of both winter and spring forms) according to Earth remote-sensing data for the territory of the Republic of Belarus. As an equation for predicting yield, a power function that uses the vegetation index as one of the input values is considered. The parameters of the equation are determined (using a statistical approach) with no allowance for the variety of agricultural crops for fixed values of the plant development code and are oriented to the spectral channels of the Sentinel-2 satellites. Among those considered, the normalized vegetation index using spectral channels in the red edge and red regions of the spectrum are determined to be the best. When using this index, a stable relationship between its values and the yield of all studied types of agricultural crops for all values of the plant development code is observed. The accuracy of the forecast crop yields is estimated both from ground-based measurements and from atmospherically corrected data of the Sentinel-2 satellites both for individual plots and for a set of plots. In this case, the accuracy of the yield forecast increases significantly when analyzing multiple plots.

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Authors and Affiliations

  1. United Institute of Informatics Problems, National Academy of Sciences of Belarus, 220012, Minsk, Belarus

    S. L. Krautsou, S. A. Pushkina, K. V. Lepiasevich & D. V. Golubtsov

  2. Research and Practical Center for Arable Farming, National Academy of Sciences of Belarus, 222160, Zhodino, Belarus

    F. I. Privalov, V. V. Kholodinsky, A. P. Gvozdov & D. G. Simchenkov

Authors
  1. S. L. Krautsou
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  2. F. I. Privalov
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  3. S. A. Pushkina
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  4. V. V. Kholodinsky
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  5. K. V. Lepiasevich
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  6. D. V. Golubtsov
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  7. A. P. Gvozdov
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  8. D. G. Simchenkov
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Corresponding author

Correspondence to S. L. Krautsou.

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The authors declare that they have no conflicts of interest.

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Translated by A. Ivanov

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Krautsou, S.L., Privalov, F.I., Pushkina, S.A. et al. Determination of Equation Parameters as a Power Function for Forecasting the Yield of Agricultural Crops in Belarus Using Earth Remote Sensing Data. Izv. Atmos. Ocean. Phys. 58, 1675–1683 (2022). https://doi.org/10.1134/S0001433822120143

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