Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2023, Vol. 20, No. 6, pp. 346-352
Features of the development of agricultural crops in Russia in 2023 based on satellite observations data
K.A. Troshko
1, 2 , P.V. Denisov
1, 3 , Ie.A. Dunaieva
4 , E.A. Loupian
1 , D.E. Plotnikov
1 , V.A. Tolpin
1 1 Space Research Institute RAS, Moscow, Russia
2 Institute of Geography RAS, Moscow, Russia
3 OOO Space Research Institute for the Earth, Moscow, Russia
4 Research Institute of Agriculture of Crimea, Simferopol, Russia
Accepted: 22.12.2023
DOI: 10.21046/2070-7401-2023-20-6-346-352
The results of the analysis of agricultural crops state in Russia in 2023 based on satellite observation data are presented. The analysis is based on NDVI deviation maps generated in the Vega satellite monitoring system. It is shown that in the federal districts that are leaders in winter grain crop production, the forecast yield of this group of crops in 2023, according to remote sensing data, was estimated at a level not exceeding the level of 2022 (record) year (most of the Volga Federal District regions, central regions of the Central Federal District) or close to it (the other regions of the European part of Russia). The yield of spring grain crops and legumes in 2023, according to remote sensing data, was estimated at a level lower than in the previous year in most regions of the olga Federal District, Ural Federal District and Siberian Federal District, and in other regions — at a comparable level. At the same time, in the center and east of the Volga Federal District, in certain regions of Ural Federal District and Siberian Federal District, the forecast yield of 2023 was estimated at a level that was simultaneously lower than the average for five-year and more than 20-year periods, while in the southern regions of Central Federal District, south-western regions of Volga Federal District and in the north of Southern Federal District, on the contrary, at a higher level.
Keywords: crops monitoring, winter crops, spring crops, yield, Earth observation satellite systems, remote sensing
Full textReferences:
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