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, 2025, V. 22, No. 6, pp. 438-447

Estimation of burnt boreal forests mortality in the 21st century based on fire intensity data

D.V. Lozin 1 , E.A. Loupian 1 , S.A. Bartalev 1 , I.V. Balashov 1 
1 Space Research Institute RAS, Moscow, Russia
Accepted: 25.12.2025
DOI: 10.21046/2070-7401-2025-22-6-438-447
Boreal forests are typically defined as forests located north of 50 latitude. The paper presents the results of an assessment of boreal forest fire damage in the first quarter of the 21st century (2002–2025). The estimates were obtained by analyzing fire intensity as measured by the Moderate Resolution Imaging Spectroradiometer (MODIS) instruments that operated on the Terra and Aqua satellites during this period. A method developed at Space Research Institute of the Russian Academy of Sciences was used in this study. The method had previously been used to assess northern forests (forests located north of 60 latitude) mortality from wildfires. The paper shows that, according to MODIS observations, 345 million hectares of forested areas were burned in the boreal zone between 2002 and 2025. Forest mortality was observed on 45 million hectares of this area. Forest mortality is defined as forest areas with damage corresponding to average condition category 5. Analysis of the temporal dynamics of forest area and damage from fires also revealed significant positive trends in forest damage rate and forest fire mortality index (persentage of area damaged by wildfires to the total area affected by wildfires).
Keywords: remote sensing, wildfires, boreal forests, wildfires monitoring, FRP, forest damage rate, forest fire seasonal mortality index
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References:

  1. Bartalev S. A., Stytsenko F. V., Egorov V. A., Loupian E. A., Satellite-based assessment of Russian forest fire mortality, Lesovedenie, 2015, No. 2, pp. 83–94 (in Russian).
  2. Galeev A. A., Proshin A. A., Ershov D. V., Tashchilin S. A., Mazurov A. A., Loupian E. A., Forest fires satellite monitoring data storage management, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2005, Iss. 2, V. 2, pp. 367–371 (in Russian).
  3. Lozin D. V., Loupian E. A., Balashov I. V., Bartalev S. A., Estimation of northern burnt forests mortality in the XXI century based on MODIS data on fire intensity, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2023, V. 20, No. 2, pp. 292–301 (in Russian), DOI: 10.21046/2070-7401-2023-20-2-292-301.
  4. Loupian E. A., Bartalev S. A., Ershov D. V., Kotel’nikov R. V., Balashov I. V., Bourtsev M. A., Egorov V. A., Efremov V. Yu., Zharko V. O., Kovganko K. A., Kolbudaev P. A., Krasheninnikova Yu. S., Proshin A. A., Mazurov A. A., Uvarov I. A., Stytsenko F. V., Sychugov I. G., Flitman E. V., Khvostikov S. A., Shulyak P. P., Satellite data processing management in Forest Fires Remote Monitoring Information System (ISDM-Rosleskhoz) of the Federal Agency for Forestry, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2015, V. 12, No. 5, pp. 222–250 (in Russian).
  5. Loupian E. A., Bartalev S. A., Balashov I. V. et al., Satellite monitoring of forest fires in the 21st century in the territory of the Russian Federation (facts and figures based on active fires detection), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2017, V. 14, No. 6, pp. 158–175 (in Russian), DOI: 10.21046/2070-7401-2017-14-6-158-175.
  6. Loupian E. A., Stytsenko F. V., Senko K. S. et al., Burnt area assessment using MODIS Collection 6 active fire data, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2021, V. 18, No. 4, pp. 178–192 (in Russian), DOI: 10.21046/2070-7401-2021-18-4-178-192.
  7. Loupian E. A., Lozin D. V., Balashov I. V. et al., Study of the dependence of forest fire damage degree on burning intensity based on satellite monitoring data, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2022, V. 19, No. 3, pp. 217–232 (in Russian), DOI: 10.21046/2070-7401-2022-19-3-217-232.
  8. Loupian E. A., Lozin D. V., Bartalev S. A. et al., Assessment of damage to Russian forests by fires in the XXI century based on analysis of fire intensity using MODIS instrument, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2024, V. 21, No. 6, pp. 233–249 (in Russian), DOI: 10.21046/2070-7401-2024-21-6-233-249.
  9. Rukovodstvo po provedeniyu sanitarno-ozdorovitel’nykh meropriyatii. Prilozhenie 2 k Prikazu Rosleskhoza ot 29 dekabrya 2007 g. No. 523 (Guidelines for the implementation of sanitary and recreational activities. Appendix 2 to the Order Rosleskhoz of December 29, 2007) (in Russian).
  10. Standart otrasli OST 56-108-98 “Lesovodstvo. Terminy i opredeleniya” (utverzhden i vveden v deistvie prikazom Rosleskhoza No. 203) (Industry standard OST 56-108-98 “Forestry. Terms and definitions” (approved and put into effect by Order Rosleskhoz No. 203)) 03.12.1998(in Russian).
  11. Stytsenko F. V., Bartalev S. A., Egorov V. A., Loupian E. A., Post-fire forest tree mortality assessment method using MODIS satellite data, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2013, V. 10, No. 1, pp. 254–266 (in Russian).
  12. Uvarov I., Bartalev S., The algorithm and software suite for land cover types recognition based on locally-adaptive supervised classification of satellite imagery, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2010, V. 7, No. 1, pp. 353–365 (in Russian).
  13. Friedl M., Sulla-Menashe D., MCD12Q1 MODIS/Terra+Aqua Land Cover Type Yearly L3 Global 500m SIN Grid V006, NASA Land Processes Distributed Active Archive Center, 2019, https://doi.org/10.5067/MODIS/MCD12Q1.006.
  14. Giglio L., Schroeder W., Justice C. O., The collection 6 MODIS active fire detection algorithm and fire products, Remote Sensing of Environment, 2016, V. 178, pp. 31–41.
  15. Hayes D., Butman D., Domke G et al., Boreal forests, In: Balancing greenhouse gas budgets. Accounting for natural and anthropogenic flows of CO2 and other trace gases, Ch. 6, Cambridge, MA: Elsevier, 2022, pp. 203–236, https://doi.org/10.1016/B978-0-12-814952-2.00025-3.
  16. Heward H., Smith A. M.S., Roy D. P. et al., Is burn severity related to fire intensity? Observations from landscape scale remote sensing, Intern. J. Wildland Fire, 2013, V. 22, No. 7, pp. 910–918, DOI: 10.1071/WF12087.
  17. Morgan P, Hardy C. C., Swetnam T. W. et al., Mapping fire regimes across time and space: Understanding coarse and fine-scale fire patterns, Intern. J. Wildland Fire, 2001, V. 10, No. 4, pp. 329–342, DOI: 10.1071/WF01032.
  18. Ryan K. C., Dynamic interactions between forest structure and fire behavior in boreal ecosystems, Silva Fennica, 2002, V. 36, No. 1, pp. 13–39.
  19. Wooster M. J., Zhukov B., Oertel D., Fire radiative energy for quantitative study of biomass burning: derivation from the BIRD experimental satellite and comparison to MODIS fire products, Remote Sensing of Environment, 2003, V. 86, pp. 83–107, https://doi.org/10.1016/S0034-4257(03)00070-1.