Abstract
The article presents data on the state of the surveyed fields of winter wheat and spring barley of the experimental farm “Integration” of the Orel state agrarian university using satellite images. The dynamic values of the Normalized Difference Vegetation Index (NDVI) were obtained by analyzing satellite images of the experimental plots, starting with early flowering phase of agricultural crops. The corresponding maps were prepared based on these data; the data visualization and access to them were implemented on the GeoMixer base of the WebGIS platform. Digital processing of the information was provided with the digital processing program of the Earth remote sensing ScanEx Image Processor V.5.0. The boundaries of the experimental plots were determined by vector pathes (polygons) built into the digital environment of the composite control system (CСS) of the agricultural organization “AgroNetwork Technologies” (ANT). This software is the basis of the digital platform for the experimental farm of the university. The NDVI values for spring barley in the control zone are very low and amount to about 0.5 in the middle of the season, which predicts the yield to be twice lower than the optimal one.
Highlights
In the modern conditions of digital streams intensification in the field of technological processes management of the agro-industrial complex, it is necessary to obtain on-line information on the state of farmlands with an increasing refresh rate
The purpose of our research is to study the possibility of the combined use of the aerial mapping and satellite images of the vegetation cover data in the conditions of the Orel region
A paler coloration corresponding to the control plot indicates a lower chlorophyll content in the wheat plants, and a brighter coloration of the area with the treated crops indicates a higher content of green pigments in the experimental plants
Summary
In the modern conditions of digital streams intensification in the field of technological processes management of the agro-industrial complex, it is necessary to obtain on-line information on the state of farmlands with an increasing refresh rate. In this situation, it is not enough to use UAVs or least of all traditional methods for obtaining data on the state of the plots. Most of the structurally bound plant indices are created based on the analysis of the ratio of the reflected solar radiation intensity in various spectral channels, mainly in the red and near infrared spectrum. The changes in the chlorophyll or xanthophyll content, humidity, etc. [2, 3]
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