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The article discusses methods for studying fractional vegetation cover (FVC). The possibility of using satellite images from the Sentinel-2 satellite to study the fractional vegetation cover has been studied and the method for obtaining a raster of the fractional vegetation cover has been described. Fragments of classified rasters created by interpolation of points obtained from rasters of fractional vegetation cover to the study area for 2018–2020 are presented. The dynamics of the FVC indicator for 2018–2020 is shown, the variation of the maximum, average and minimum values for the specified period is determined. The comparison of the maximum, minimum and average values of the projective vegetation cover with the values of precipitation amounts according to the weather archive data for the periods between the used satellite images is carried out. A correlation analysis was carried out between the values of the FVC indicator (maximum, average, minimum) and the amount of precipitation, which showed a weak relationship between these values. The sums of the values of the average daily evaporation for the periods between the used satellite images were calculated, the values of the balance between the sums of precipitation and the sums of the values of the average daily evaporation were determined. The graphs of changes in the balance between the amounts of precipitation and the sums of the values of the average daily evaporation were compared with the graphs of changes in the FVC of the maximum, minimum and average. It was revealed that the maximum balance values precede in time the maximum FVC values, and the minimum balance values coincide in time with the minimum FVC values, or precede them. An example of the spatial relationship between the increased, in comparison with the surrounding background, the FVC values of the raster of the projective vegetation cover and mounds, highlighted by the elevation map obtained using the UAV, is shown.

Remote sensing methods in the study of fractional vegetation cover of fallow lands