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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, 2022, Vol. 19, No. 3, pp. 217-232

Study of the dependence of forest fire damage degree on burning intensity based on satellite monitoring data

E.A. Loupian 1, 2 , D.V. Lozin 1, 2 , I.V. Balashov 1 , S.А. Bartalev 1, 3 , F.V. Stytsenko 1 
1 Space Research Institute RAS, Moscow, Russia
2 Lomonosov Moscow State University, Moscow, Russia
3 Center for Forest Ecology and Productivity RAS, Moscow, Russia
Accepted: 06.06.2022
DOI: 10.21046/2070-7401-2022-19-3-217-232
The present work looks into the dependence of the degree of forest fire damage on burning intensity characteristics derived from MODIS satellite monitoring data. Here, Fire Radiative Power normalized to the area of the observation element (FRPS) is used as fire intensity measure. An approach has been proposed that allows building the dependence of forest damage degree on FRPS. The approach is developed by comparing the FRPS information from the MODIS data with post-fire forest damage assessment information. Data accumulated at the Space Research Institute of the Russian Academy of Sciences from 2006 to 2021 throughout Russia were examined to allow analysis of a significant number of sites (over 10 million pixels) with information on FRPS and forest damage degree. Information of the time (season) when the fire was active and of the predominant type of forest cover was also analyzed for each site. Availability of such information and representative statistics made it possible to obtain probability estimates of forest death from intensity of burning taking into account the type of forest cover and duration of fire. The paper presents the obtained dependences and a brief analysis of their peculiarities. A new method is proposed for operational assessment of forest pyrogenic destruction area on the basis of the obtained dependences.
Keywords: remote sensing, wildfire, FRP, forest damage by fires, satellite monitoring
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