ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa


Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2019, Vol. 16, No. 5, pp. 217-227

The possibilities of prolonged burnt severity assessment of evergreen coniferous forest using multi-spectral satellite data

F.V. Stytsenko 1 , S.А. Bartalev 1 , A.V. Bukas 2 , D.V. Ershov 3, 1 , I.A. Saigin 1 
1 Space Research Institute RAS, Moscow, Russia
2 Russian Centre of Forest Health, Pushkino, Moscow Region, Russia
3 Center for Forest Ecology and Productivity RAS, Moscow, Russia
Accepted: 06.09.2019
DOI: 10.21046/2070-7401-2019-16-5-217-227
The results of experimental studies presented in this paper characterize the possibility of quantitative assessment of the damaged forests state in a few years after the fire according to multispectral satellite measurements. The necessary independent reference data on forest damage were collected during the ground surveys of test sites in the Amur, Irkutsk, Tomsk Regions, the Republic of Komi and the Krasnoyarsk Territory. The analysis made it possible to draw a conclusion about the significant influence of the processes of post-fire restoration of ground vegetation cover on the spectral-reflective characteristics of damaged forests measured during the vegetation period, and, as a consequence, the need to take this factor into account in the remote assessment of their degree of damage. The conducted research allowed drawing a conclusion about the principal possibility of using satellite images obtained in winter with the presence of snow cover on the earth’s surface to assess the degree of fire damage to coniferous evergreen forests. The advantages of using satellite data of the winter survey period are due to the masking effect of snow cover, minimizing the influence of spatially inhomogeneous spectral-reflective characteristics of ground vegetation on the values of vegetation indices damaged by forest fires. The use of satellite imagery data in the period with the presence of snow on the earth’s surface opens up the possibility of a unified application of the established dependencies between the values of vegetation indices and the degree of damage by fires of coniferous evergreen forests to assess the long-term dynamics of their condition.
Keywords: remote sensing, multi-spectral satellite images, spectral vegetation index, forest fire, burn severity, forest status
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