The development of the methods for assessing local areas of oppressed vegetation is shown. The field contours were refined according to the Earth remote sensing data (panchromatic, color and multispectral images of the earth's surface) using the complex of automatic decoding and vectorizing. After processing and evaluating the results, the raster orthomosaic is transformed into a set of vector linear objects, known as field contours. In addition to topographic interpretation, a multispectral classification is performed. For these purposes, statistical and textural characteristics were used on any raster channel or on virtual channels and calculated with the formula for computation of the NDVI. The initial information about the fields was used in official electronic resources, for example, the cadastral map of one part of the Stavropol Territory. Aerial photographs of the territory with a topographic interpretation were taken to assess and refine the pasture contours. Selection of local areas of oppressed vegetation on the pasture under the influence of various negative factors and classification of leaf lesions were based on the assessment of the NDVI field change diagram for the period of time from February to November of the current year by detecting and analyzing the NDVI map and the map of the visible frequency range.In order to research the effectiveness of using the pastures during the production season, the development indicators of 4-month young sheep of the Manych Merino breed were researched. In case of decreasing the level of plant biomass on the pasture, when the indicators of the vegetative index were equal to 0.20…0.40, the level of average daily live weight growth of the young animals under control decreased to 0.099 ± 0.03 (kg).