Published in Scientific Papers. Series A. Agronomy, Vol. LXIV, Issue 1
Written by Tamara MYSLYVA, Branislava SHELIUTA, Vera BUSHUEVA
This paper provides the results of assessing the possibility of using remote sensing data obtained from the Sentinel-2 with a spatial resolution of 10 m and simple Markov chains to predict the degree of development of Galega orientalis within the local area. The possibility of using remote sensing data obtained with the Phantom-4ProV 2.0 to assess the productivity of Silphium perfoliatum and Zea mays biomass was also evaluated. The studies were carried out in 2017- 2020 on the territory of Gorki district (Republic of Belarus). The research indicated that the use of the Markov model and the raster image of the NDVI index as a predictor makes it possible to accurately predict the areas with very poorly developed, poorly developed, moderately developed, developed and well-developed vegetation (χ22
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