Published date:Feb 11 2022

Journal Title: KnE Social Sciences

Issue title: Integration Processes in the Russian and International Research Domain: Experience and Prospects

Pages:178–183

DOI: 10.18502/kss.v7i3.10452

Boris Raevskyborisraevsky@gmail.comDepartment for Multidisciplinary Scientific Research, Karelian Research Centre, Russian Academy of Sciences

Victor TarasenkoDepartment for Multidisciplinary Scientific Research, Karelian Research Centre, Russian Academy of Sciences

Nikolai PetrovDepartment for Multidisciplinary Scientific Research, Karelian Research Centre, Russian Academy of Sciences

Digital mapping of boreal zone vegetation based on remote sensing data is of the utmost significance for monitoring the natural and anthropogenic dynamics of North Russian forest ecosystems. Revealing the actual state and qualitative changes of the forest cover at the regional and local levels can help achieve a wide range of sustainable development targets. Interpretation of alternative Landsat multispectral images has enabled spatial models to be developed for a number of East Fennoscandian regions. Over the last 30 years, four zones with active logging operations and substantial reduction in mature conifer forest areas have been revealed along with a substantial increase in clear cutting and the area occupied by deciduous stands. During this period, the natural landscapes of the Onezhskoe Pomorye National Park and Kostomukshsky Strict Nature Reserve managed to avoid large scale catastrophic events. So, most appear stable at the moment.

Keywords: multispectral space images, supervised classification, Landsat program, vegetation spatial dynamics, forests, remote sensing data, interpretation

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