The method for identification the areas with significant humus layer power with using the results of multispectral imagery from the unmanned aerial vehicle is presented. The areas boundaries are determined by analysis of multispectral data with subsequent calculation of the indicator. Methodology of indicator designing for the areas with characteristic properties (in this case – the areas of the powerful soil layer characterized by intensive processes of soil formation) is based on the two-dimensional discrete wavelet transform and calculating the attributes – the average values of the four components of the transform result. Haar and Shannon-Kotelnikov wavelet functions are used. The indicator is the average of the two most informative attributes which were selected on the basis of the cross-correlation coefficients between their values and the brightness values on the distribution soil resistivity map. The line segment crossing the most typical areas of the image was used as the method baseline. Comparison of the indicator values image with the map of humus layer power confirms the correctness of the proposed method to identify the cultural layer of the archaeological sites with using the multispectral data. The multispectral data covers large areas and characterizes the objects reflective ability; therefore it provides a promising tool for the preliminary identification of the archaeological sites and the preservation degree assessing of their cultural layer.

Nazmutdinova Aigul I., graduate student of the Physical-Technical Institute of the Ural Branch of the Russian Academy of Sciences. 34, T. Baramzina st., Izhevsk, 426067, Russia. E-mail: lssm@ftiudm.ru

Milich Vladimir N., Ph.D of technical sciences. Institute of Physics and Technology, Ural Branch of the Russian Academy of Sciences. 34, T. Baramzina st., Izhevsk, 426067, Russia. E-mail: lssm@ftiudm.ru

Zhurbin Igor V., Doctor of Historical Sciences, Ph.D of Technical Sciences. Head of the Laboratory of the Physicotechnical Institute of the Ural Branch of the Russian Academy of Sciences. 34, T. Baramzina st., Izhevsk, 426067, Russia. E-mail: zhurbin@udm.ru