ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2021, Vol. 18, No. 3, pp. 207-213

Restoration of vegetation cover of marches in the Kolokolkova Bay of the Barents Sea in 2013–2020 using Landsat-8 satellite imagery

K.V. Ivanova 1 
1 Komarov Botanical Institute RAS, Saint Petersburg, Russia
Accepted: 02.06.2021
DOI: 10.21046/2070-7401-2021-18-3-207-213
A storm hit the territory of marches in the Kolokolkova Bay of Barents Sea and destroyed up to 90 % of the vegetation cover in 2010. We studied the beginning of vegetation restoration in the period from 2013–2020 using Landsat-8 and the Normalized Difference Vegetation Index (NDVI). Average NDVI for 2013–2020 varies from 0.102 to 0.114. Such changes are insignificant and cannot provide an indication of community recovery. It is also worth noting that the initial stages of vegetation recovery in marshes are unstable and subject to year-to-year fluctuations in weather conditions. There is a gradual increase in the area of marshes covered with vegetation (166–370 ha). The area of the marches covered with water, first of all, depends on the height of the tide, therefore it fluctuates quite strongly (excess up to 24.9 %). A sequential change in the stages of vegetation development is observed: the proportion of the exposed substrate and the initial stages of succession (NDVI 0.07–0.16) decreases from 45.7–63,3 to 31.2 %. The total area occupied by vegetation (low and medium marches) by 2020 increased by almost 5 times (10.19–49.6 %). At the same time, the share of medium marches (NDVI > 0,33) increases from <1 to 14.5 %. The presented analysis covers the first 10 years of restoration of the vegetation cover. Further study of the dynamics of the vegetation cover will allow assessing the potential of these most important biotopes for self-healing under the conditions of modern climatic fluctuations and predicting estimates for such territories of the Russian Arctic.
Keywords: marsh, dynamics of vegetation, NDVI, Arctic, Eastern European tundra
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