Abstract
Monitoring of the environment with the help of unmanned aerial vehicles is currently one of the most developing branches of optoelectronic instrument-making. Digital cameras installed on these devices make it possible to survey the underlying surface in order to select the its features. The use of unmanned aerial vehicles for the control of agricultural lands is a very perspective case of such monitoring. The technique of measuring the spectral reflection coefficients of surfaces is developed for identification of the vegetation state observed in the field of view of multispectral digital camera. The method allows determining the spectral reflectance of the calibration surfaces using the reference ones and after that to find the parameters of working surfaces using the calibration ones. The obtained results are applied under the analysis and processing of images obtained in the course of the unmanned aviation system that monitors agricultural lands.
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