SPATIAL ANALYSIS OF CROP YIELD USING OF NORMALIZED DIFFERENCE VEGETATION INDICES

The results of monitoring of cereals using normalized differential vegetation indices (NDVI) are presented in the paper. The technology for building NDVI cereal maps is exemplified by ultra-high resolution images obtained with a quad copter mounted multispectral camera that provides aerial photography in four spectral channels (Green, Red, Red Edge, Near Infrared). Quadrocopter multispectral aerial photographs, unlike satellite imagery, are insensitive to clouds and atmospheric effects; provide ultra-high resolution and accurate quantification of vegetation indices.

NDVI is traditionally calculated using the near-infrared and visible red (spectral) reflectance values of Red, Near Infrared. The use of other spectral channels (Green, Red Edge) is considered in the work for NDVI calculation, which allows to significantly improve the efficiency of analysis of grain yield in terms of prompt detection of the whole complex of reasons that adversely affect the condition of crops and timely implementation of measures to eliminate them.