Abstract
Monitoring of the environment with the help of unmanned aerial vehicles is currently one of the most developing branches of optoelectronic instrument-making, since the digital cameras installed on these devices make it possible to survey the underlying surface in order to further highlight the signs of this surface that carry information about its state. The use of unmanned aerial vehicles for the control of agricultural lands is a particular and very perspective case of such monitoring. The technique of measuring the spectral reflection coefficients of surfaces used to identify the state of vegetation observed in the field of view of multispectral digital camera, which monitors the environment from the board of unmanned aerial vehicles. The method allows to determine the spectral reflectance of the calibration surfaces against the reference surfaces. The results of the work are applied in the analysis and processing of images obtained in the course of the unmanned aviation system that monitors agricultural lands.
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