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The goal of the work was to determine the possibilities of using images obtained from satellite services to study the vegetation cover of natural pastures. The work was carried out on pasture plots of the Ipatovsky district in the conditions of the agricultural production complex «Plemzavod Vtoraya Pyatiletka ». Remote methods for assessing agricultural territory are a developing area not only in agronomy, but also in livestock farming, namely pasture farming. In the work, to process images obtained from satellite services, we used tools from the OpenStreetMap and Satellite services, as well as Copernicus Global Land Cover Layers: CGLS-LC100 Collection 3. Using image processing tools obtained from satellite systems, the boundaries of the studied pastures were determined, and the pastures were conditionally divided into four classes depending on the spectral characteristics of the vegetation cover. As a result of field trips, the NDVI vegetation index of the studied areas was determined by contact method using a GreenSeeker hand-held sensor. The calculated normalized vegetation index NDVI reflects the objectivity of the clustering performed. The data obtained will make it possible to more objectively draw up technological maps for animal grazing with the least time and material costs.
Oleinik et al. (Sat,) studied this question.