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In the twentieth century Russia, about 70 million hectares of land were withdrawn from agricultural turnover, about 2/3 of which after the collapse of state socialism at the beginning of the 1990s [3,4]. However, since the mid-2000s in Russia, as in other East European countries, there is has been an increase in the area of arable land due to the reuse of previously fallow or abandoned land plots with significant spatial heterogeneity and differences in the driving forces behind the process. Usually, the natural zonal vegetation and soils close to zonal are restored on fallow lands. Though, there are a number of modifying factors some of which may influence only certain stages of succession, while others influence the process throughout the whole recovery period. As a result, postagrogenic vegetation recovery even in the same soil types and climatic conditions can occur with different sets of stages [2,3]. Much research on the topic has focused on the factors and dynamics of fallow and abandoned lands’ recovery in different natural zones. However, some acute issues are on average not taking into the account [1]. Among them are space-time references and thorough data verification. In order to bypass the above issues remote sensing data of ultrahigh spatial resolution obtained from space platforms and unmanned aerial vehicles (UAVs) were used in the research of fallow lands. When assessing the feasibility and cost of reintroducing abandoned agricultural lands into circulation, detailed spatially distributed and disparate data are needed. They clearly characterize the restoration of natural vegetation on fallow land of various ages and types, illustrating structural and functional characteristics of the emerging tree and shrub cover.