Experience in analysing the landscape morphological structure based on innovative methodological approaches

Abstract

The current tendencies in studying landscape geosystems direct to increase information support of processes using innovative spatial information processing methods. The paper represents the developed complex analysis of theoretical, cartographical, and geo-informative studies, including automated decoding techniques of remote sensing data. Problems of approval of methodology and interpretation of results are considered. They were received with multi-channel segmenting of pixel images from satellite vehicles for a long-term period (1989-2018). Spectral channels of visible, near-infrared, and short-wave infrared diapasons were used. Parameters were identified to select territorial units on the geosystem level – the landscape province. Steppe and forest-steppe areas of the Orenburg region were chosen to conduct the study. The results were compared with existing landscape zoning. Anthropogenic factors defining the dynamics of the morphological structure of landscape geosystem were identified: subsurface and land use, abandonment of agricultural landscapes, self-restoration of inter-component and inside-landscape interconnections on steppe strips, urbanization processes. The developed algorithm promotes a maximal possible objectiveness of the conducted study at the expense of using automated mathematic methods and realization of repeated verifications of the results. The universality of the methodology promotes extrapolating its principles in areas of various natural zones.