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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, 2018, Vol. 15, No. 2, pp. 75-83

Comprehensive assessment of degradation of snow dump vegetation

O.S. Tokareva 1 , O.A. Pasko 1 , N.S. Ushakova 2 , E.S. Makartsova 1 , L.A. Fedorova 1 
1 National Research Tomsk Polytechnic University, Tomsk, Russia
2 Department of Natural Resources and Environmental Protection of Tomsk Oblast, Tomsk, Russia
Accepted: 03.04.2018
DOI: 10.21046/2070-7401-2018-15-2-75-83
The results of a comprehensive assessment of vegetation degradation in the territory of three snow dumps in Tomsk using remote sensing data of the Earth and ground-based research are presented in the article. Using the space images of high spatial resolution, it was identified that the anthropogenic impact on the vegetation cover of snow dump sites corresponds to the fourth of the five levels at which a radical change in the ecosystem takes place. Seasonal changes in the NDVI values in snow dumps and background sites were studied on the basis of data from the Landsat 8 (OLI) satellite during the vegetation seasons of three years. It is shown that the average values of the NDVI areas of snow dumps are from two to five times lower than the background values with close biomass dynamics at the beginning of the vegetation season. According to the ground-based studies in the territories of snow dumps, a decrease in the projective coverage and species saturation of vegetation and plant density was identified. The reason is extreme conditions of growth: high content of sand fraction, drought, subcooling of the soil in the initial period of development, alkaline reaction and salinity of the soil, absence of humus, which contribute to the settlement of the territory by individual forms of the most adapted species.
Keywords: vegetation index, species saturation, degradation, remote sensing, space image, soil, vegetation, snow dump
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