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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. 4, pp. 166-177

Current trends in natural and anthropogenic vegetation in Western Siberia’s sub-tundra forests based on vegetation indices data

A.A. Tigeev 1 , D.V. Moskovchenko 1 , A.V. Fahretdinov 1 
1 Institute of the Problems of Northern Development SB RAS, Tyumen Scientific Center SB RAS, Tyumen, Russia
Accepted: 11.08.2021
DOI: 10.21046/2070-7401-2021-18-4-166-177
To assess the current dynamics of plant communities in the northern taiga zone of Western Siberia using the MOD13A1 product, we determined NDVI values for the period 2000–2020. The index values were calculated for 77 points in the territory of Nadym and 57 points in the background site. As a result of image interpretation and in situ observations, vegetation classes were determined for which mean and maximum NDVI values were evaluated, and the dependence of NDVI on meteoparameters was assessed. According to the correlation analysis, the NDVI value depends on several factors listed in descending order of importance: the height of the snow cover during the past winter, the amount of summer precipitation, and the air temperature during the growing season. The intra-annual s of the index is influenced by meteorological fluctuations, particularly short-term Arctic cold air intrusions, which cause declines in the next few weeks. In the undisturbed area, the highest NDVI values are found in forest communities and the lowest values in the wetlands. In the green zone of the city of Nadym the NDVI values are close to the vegetation values of the background site plots; in the industrial zone the green phytomass amount is minimal. An analysis of interannual dynamics showed that NDVI values in both the city and the background were gradually increasing as air temperatures and depth of the snowpack gradually increased. NDVImean and NDVImax growth trends are statistically significant with a high level of confidence (α = 0.01), which confirms the modern «greening» of circumpolar regions. Mapping revealed that NDVI growth over the period 2000–2020 is most pronounced for the forests of the Nadym River floodplain.
Keywords: remote sensing, correlation analysis, vegetation index, vegetation cover dynamics, climate-related changes in ecosystems
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