Abstract
The purpose of the study is to determine the necessary set of estimated signs of vineyards with terroir properties based on the generalization of literary sources and the setting up of field experience in the application of spectral indices from satellite images. The use of spectral data on the state of soils, plants and the environment makes it possible to evaluate the growth force of bushes and the yield of vineyards by difference normalized indices. Spectral analysis of vineyards using satellite images allows obtaining data on the vegetative and moisture variability of vine plantations with a frequency of 2-7 days. The correct interpretation of spectral satellite images is possible when they are verified by ground studies of soil indicators, vegetation of bushes by phenophases, agricultural work performed in the aisle, soil, air and leaf moisture. In the future, verification of satellite and ground-based data will reduce the number of route-field surveys and laboratory tests. To solve this problem, spectral data from the public satellite platforms Sentinel-2 and Landsat-8 must be calibrated using ground samples from sample plots of vineyard lands with terroir properties, which are defined as spectral patterns (samples) of vineyards. The presence of a relationship between soil moisture, leaf area and yield makes it possible, on the basis of the normalized NDVI vegetation index and NDMI soil moisture, to determine the micro-sites of vine plantations of different productivity and quality of grape harvest. Microzoning of the area according to such parameters as physical and chemical composition, soil moisture, morphometry, exposure and slope slopes makes it possible to identify viticultural areas with terroir properties. Identification of the boundaries and areas of vineyards with terroir properties using spectral raster satellite images with vectorization of difference soil layers in a geographic information system allows you to quickly assess viable lands, the productivity of various areas of vineyards and optimize agricultural work in accordance with a precision approach in viticulture.
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