Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2021, Vol. 18, No. 5, pp. 145-155
Inventory of the current state and changes in vegetation cover of the Onega Peninsula using staggered Landsat images
B.V. Raevsky
1 , V.V. Tarasenko
1 , N.V. Petrov
1 1 Karelian Research Centre RAS, Petrozavodsk, Russia
Accepted: 02.10.2021
DOI: 10.21046/2070-7401-2021-18-5-145-155
Development of digital maps of boreal zone vegetation based on remote sensing data interpretation is of the utmost significance for monitoring native and anthropogenic dynamics of northern Russia forest ecosystems. Revealing an actual state and qualitative changes of a forest cover at regional and local levels enable to reach a wide range of sustainable development targets. Interpretation of staggered (1987 and 2018) Landsat multispectral images by the supervised classification method (k_NN — nearest neighbor analysis) has allowed to develop spatial model of Onega Peninsula vegetation cover. The changes detected within the period of more than 30 years revealed substantial reduction in spruce forests area (17,8 %) along with fold growth of clear cutting and deciduous stands’ areas. Revealed peculiarities of anthropogenic activities allowed drawing a conclusion that most of productive spruce stands here have been cut over during the last three decades. So, it is very likely that the intensity of logging operation in the peninsula will go down in the nearest future. Within the investigated period native landscapes of the National Park “Onezhskoe Pomorie” had the luck to avoid large scale catastrophic events. So, at the moment most of them look stable.
Keywords: multispectral space images, supervised classification, Landsat program, vegetation spatial dynamics, forests, remote sensing data, interpretation
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