Assessment of the state of winter wheat and spring barley plantings by the average NDVI value, based on satellite images

Dynamic values of the vegetation index NDVI were obtained by analyzing satellite images of experimental plots, starting from the phase of the beginning of flowering of crops. Based on this data, the corresponding maps were prepared, data visualization and access to which was implemented on the basis of the GeoMixer web GIS platform. Digital information processing was provided by the remote sensing data processing program ScanEx Image Processor V. 5.0. The boundaries of the experimental plots were determined by vector contours (polygons) embedded in the digital environment of the integrated management system (IMS) of the agricultural organization Agro Network Technologies (ANT). This SOFTWARE is the base of the digital platform of the University's experimental farm. Based on the vegetation indices of the Moskovskaya 40 winter wheat and Scarlet spring barley studied by the NDVI, it was found that the assessment of the state of agricultural crops by the average NDVI value, based on satellite images, allows monitoring plant development and predicting yield throughout the entire period. The NDVI vegetation index of winter wheat in spring, 0.05-0.2, indicates that the plants hibernated at an early phenological phase, before tillering, which may reduce potential yield. High values of the NDVI index, equal to 0.75-0.8, indicate that the yield of winter wheat can be more than 40 c / ha. The values of the NDVI index for spring barley in the control area are very low and are about 0.5 in the middle of the season, which predicts a yield twice as low as the optimal one. Treatment of plants with the biological product Nigor developed at the University increased the yield by 9.1%, but could not compensate for the lack of nutrients. Thus, in the future, using satellite images, it is possible not only to predict crop yields, but also to determine the reason for their low yield based on the calculation of vegetation indices and take measures to eliminate them.