DETECTION OF AREAS OF THE ANTHROPOGENICALLY TRANSFORMED NATURAL ENVIRONMENT BASED ON A COMPREHENSIVE ANALYSIS OF MULTI-SEASONAL MULTISPECTRAL SURVEY
I. V. Zhurbin, A. S. Shaura, A. G. Zlobina, A. I. Bazhenova
Udmurt Federal Research Center of the Ural Branch of the Russian Academy of Sciences, Izhevsk, Russia
Keywords: Haraliсk texture features, image segmentation, multi-seasonal multispectral survey, anthropogenically transformed natural environment
Abstract
A comprehensive analysis of multispectral data obtained in different growing periods makes it possible to reconstruct the current state of the anthropogenically transformed natural environment and identify areas of historical nature management. Ambiguous displaying of secondary succession of forests requires comparison of changes in the spectral features of vegetation and features of the landscape objects texture in multi-season images. The methodological basis of such studies is an algorithm of multispectral data processing adapted to apply Haralick's textural features at the feature extraction stage. Joint segmentation of multi-seasonal multispectral images “smoothes out” local, less significant changes in the texture of landscape objects, which makes it possible to more clearly demonstrate the general trends in the distribution of vegetation. The area of interest included a fragment of the Pudemskiy ironworks dacha, where “timber and firewood forests” were cut down for the production needs in the 1st half of the 19th century. The segmented image demonstrates the fundamental differences between the vegetation cover of the western and eastern parts of the survey area: the site of historical cutting areas and the part that was not subjected to an intense anthropogenic impact.
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