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


Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2022, Vol. 19, No. 4, pp. 75-87

Features of remotely estimated distributions of forest fire areas for territories with different levels of fire protection

R.V. Kotelnikov 1 , E.A. Loupian 2 
1 Center of Forest Pyrology, Branch of the All-Russian Research Institute for Silviculture and Mechanization of Forestry, Krasnoyarsk, Russia
2 Space Research Institute RAS, Moscow, Russia
Accepted: 19.08.2022
DOI: 10.21046/2070-7401-2022-19-4-75-87
In recent years, satellite methods and technologies have been actively used to support forest fires monitoring and extinguishing measures. At present there are homogeneous archives of forest fire observation data on the whole territory of the Russian Federation for the period from 2001 to the present. Such homogeneous archives of data are available, in particular, in the VEGA-Les information system ( In Russia, the Forest Fires Remote Monitoring Information System of the Federal Forestry Agency (ISDM-Rosleskhoz, has been in operation since 2005. During the operation of the system various characteristics of fires detected from satellite data were recorded in it. For those fires, which have been registered by ISDM-Rosleskhoz there is recorded information about territories where these fires were active and their level of protection, and information on which fires were not attempted to be extinguished or extinguishing was terminated for them. In the present work on the basis of available forest fires observation homogeneous archives and information about territories fires have been registered on and extinguishing measures for them, samples of fires action on which was or was not taken were formed. Using these samples, a study was conducted on the characteristics of fire area distribution, depending on the level of protection of the territory and information on extinguishing/not extinguishing specific fires. The results of this study are presented in this paper. It is determined that distribution of fire areas really depends on the quality of the firefighting measures organization on given territories. It was found that higher levels of protection provide larger difference of fire areas distributions from the distribution of non-extinguished fires It is also shown that such trends are observed both for high and low flammability years. In conclusion, possible ways of the received results application for creation of objective criteria for assessment of forest fires protection measures efficiency are briefly discussed.
Keywords: forest fires, statistical methods of data processing, Earth remote sensing, forest fire zoning, forest fire protection zones, assessment of the effectiveness of forest fire protection, information system for remote monitoring of forest fires
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  1. Balashov I. V., Kashnitskii A. V., Bartalev S. A., Bartalev S. S., Burtsev M. A., Vorushilov I. I., Egorov V. A., Zharko V. O., Kobets D. A., Konstantinova A. M., Loupian E. A., Saigin I. A., Senko K. S., Stytsenko F. V., Sychugov I. G., Khvostikov S. A., Khovratovich T. S., VEGA-Les: information system for complex monitoring of forests and hunting grounds in Russia, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2020, Vol. 17, No. 4 (in Russian). DOI: 10.21046/2070-7401-2020-17-4-73-88.
  2. Bartalev S. A., Egorov V. A., Efremov V. Yu., Loupian E. A., Stytsenko F. V., Flitman E. V., Integrated burnt area assessment based on combine use of multi-resolution MODIS and Landsat-TM/ETM+ satellite data, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2012, Vol. 9, No. 2, pp. 9–26(in Russian).
  3. Bartalev S. A., Loupian E. A., Stytsenko F. V., Panova O. Yu., Efremov V. Yu., Rapid mapping of forest burnt areas over Russia using Landsat data, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2014, Vol. 11, No. 1, pp. 9–20 (in Russian).
  4. Bartalev S. A., Egorov V. A., Zharko V. O., Loupian E. A., Plotnikov D. E., Khvostikov S. A., Shabanov N. V., Land cover mapping over Russia using Earth observation data, Moscow: IKI RAN, 2016, 208 p. (in Russian).
  5. Belyaev I. M., Korovin G. N., Loupian E. A., Use of satellite data in the system of remote monitoring of forest fires of the Ministry of Natural Resources and Environment of the Russian Federation, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2005, Vol. 2, No. 1, pp. 20–29 (in Russian).
  6. Bryukhanov A. V., Korshunov N. A., Aerial wildfire fighting: history, current situation, problems and perspectives, Sibirskii lesnoi zhurnal, 2017, No. 5, pp. 37–54 (in Russian). DOI: 10.15372/SJFS20170504.
  7. Egorov V. A., Bartalev S. A., Loupian E. A., Uvarov I. A., Monitoring of damage to vegetation cover by fires according to satellite observations, Izvestia vuzov “Geodesy and Aerophotosurveying”, 2006, pp. 98–109 (in Russian).
  8. Ershov D. V., Korovin G. N., Loupian E. A., Mazurov A. A., Tashchilin S. A., Russian satellite monitoring system for forest fires, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2004, Vol. 1, No. 1, pp. 47–57 (in Russian).
  9. Kovalev N. A., Loupian E. A., Balashov I. V., Bartalev S. A., Burtsev M. A., Ershov D. V., Krivosheev N. P., Mazurov A. A., ISDM-Rosleskhoz: 15 years of operation and evolution, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2020, Vol. 17, No. 7, pp. 283–291 (in Russian).
  10. Komorovskii V. S., Modeli organizatsii i upravleniya pri bor’be s lesnymi pozharami (Models of organization and management in the fight against forest fires), Moscow: NITs Infra-M, 2012, 120 p. (in Russian), DOI: 10.21046/2070-7401-2020-17-7-283-291.
  11. Kotel’nikov R. V., Lupyan E. A., Bartalev S. A., Ershov D. V., Space Monitoring of Forest Fires: History of Creation and Development of ISDM-Rosleskhoz, Lesovedenie, 2019, No. 5, pp. 399–409 (in Russian), DOI: 10.1134/S0024114819050048.
  12. Loupian E. A., Bartalev S. A., Balashov I. V., Egorov V. A., Ershov D. V., Kobets D. A., Senko K. S., Stytsenko F. V., Sychugov I. G., Satellite monitoring of forest fires in the 21st century on the territory of the Russian Federation (figures and facts based on active gorenje detection data), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2017, Vol. 14, No. 6, pp. 158–175 (in Russian).
  13. Loupian E. A., Proshin A. A., Balashov I. V., Burtsev M. A., Kashnitskiy A. V., Tolpin V. A., Mazurov A. A., Matveev A. M., Uvarov I. A., Center for Collective Usage “IKI-Monitoring” (Organization of Distributed Work with Extra Large Archives of Satellite Data for Solving Scientific and Applied Tasks), Information Technologies in Remote Sensing of the Earth – RORSE 2018, Moscow, IKI, 2019, pp. 380–387 (in Russian),
  14. Loupian E. A., Stytsenko F. V., Senko K. S., Balashov I. V., Mazurov A. A., Burnt area assessment using MODIS Collection 6 active fire data, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2021, Vol. 18, No. 4, pp. 158–175 (in Russian), DOI: 10.21046/2070-7401-2017-14-6-158-175.
  15. Minprirody of Russia: Order No. 224, Date 08.04.2022 (in Russian), available at: /0001202208120026?ysclid=l6utqrjnm3394457136 (accessed 18.08.2022).
  16. Ponomarev E. I., Ivanov V. A., Satellite monitoring of the dynamics of extreme fires, Khvoinye Boreal’noi Zony, 2012, Vol. 30, No. 3–4, pp. 304–311 (in Russian).
  17. Ponomarev E. I., Shvetsov E. G., Satellite Detection of Forest Fires and Geoinformation Methods for Calibrating of the Result, Issledovanie Zemli iz kosmosa, 2015, No. 1, pp. 84–91 (in Russain), DOI: 10.7868/S0205961415010054.
  18. 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, Vol. 10, No. 1, pp. 254–266 (in Russian).
  19. Flitman E. V., Balashov I. V., Burtsev M. A., Galeev A. A., Egorov V. A., Kotel’nikov R. V., Loupian E. A., Mazurov A. A., Matveeva A. M., Proshin A. A., Organization of the MODIS instrument data processing system for the tasks of monitoring forest fires and their aftereffects, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2011, Vol. 8, No. 3, pp. 127–138 (in Russian).
  20. Shpakovskii Yu. G., Modern problems of legal regulation of forest protection from fires, Lex russica (Russkii zakon), 2018, No. 1(134), pp. 43–56 (in Russian), DOI: 10.17803/1729-5920.2018.134.1.043-056.
  21. Bartalev S., Egorov V., Efremov V., Flitman E., Loupian E., Stytsenko F. V., Assessment of Burned Forest Areas over the Russian Federation from MODIS and Landsat-TM/ETM+ Imagery, In: Global Forest Monitoring from Earth Observation, 2016, pp. 245–271, DOI: 10.1201/b13040-14.
  22. Flannigan M., Krawchuk M., Wotton M., Johnston L., Implications of changing climate for global Wildland fire, International J. Wildland Fire, 2009, Vol. 18, pp. 483–507, DOI: 10.1071/WF08187.
  23. IPCC, 2019: Climate Change and Land: an IPCC special report on climate change, desertification, land degradation, sustainable land management, food security, and greenhouse gas fluxes in terrestrial ecosystems, P. R. Shukla, J. Skea, E. Calvo Buendia, V. Masson-Delmotte, H.-O. Pörtner, D. C. Roberts, P. Zhai, R. Slade, S. Connors, R. van Diemen, M. Ferrat, E. Haughey, S. Luz, S. Neogi, M. Pathak, J. Petzold, J. Portugal Pereira, P. Vyas, E. Huntley, K. Kissic, M. Belkacemi, J. Malley. (eds.), Switzerland, 2020, 41 p.
  24. Loboda T., Csiszar I., Estimating burned area from AVHRR and MODIS: validation results and sources of error, Contemporary Earth Remote Sensing from Space, 2005, Vol. 2, pp. 415–421.
  25. Louis G., MODIS Collection 6 Active Fire Product User’s Guide, Revision A, Department of Geographical Sciences University of Maryland, 2015, 64 p.
  26. Loupian E. A., Mazurov A. A., Flitman E. V., Ershov D. V., Korovin G. N., Novik V. P., Abushenko N. A., Altyntsev D. A., Koshelev V. V., Tashchilin S. A., Tatarnikov A. V., Csiszar I., Sukhinin A. I., Ponomarev E. I., Afonin S. V., Belov V. V., Matvienko G. G., Loboda T., Satellite Monitoring of Forest Fires in Russia at Federal and Regional Levels, Mitigation and Adaptation Strategies for Global Change, 2006, Vol. 11, No. 1, pp. 113–145, DOI: 10.1007/s11027-006-1013-7.
  27. Loupian E., Burtsev M., Proshin A., Kashnitskii A., Balashov I., Bartalev S., Konstantinova A., Kobets D., Radchenko M., Tolpin V., Uvarov I., Usage Experience and Capabilities of the VEGA-Science System, Remote Sensing, 2021, Vol. 14, Art. No. 77, 19 p., DOI: 10.3390/rs14010077.
  28. Pereira Jr. A. C., Oliveira S. L. J., Pereira J. M. C., Turkman M. A. A., Modelling fire frequency in a Cerrado savanna protected area, PLoS ONE, 2014, Vol. 9, No. 7, DOI: 10.1371/journal.pone.0102380.
  29. Tansey K., Grégoire J.-M., Defourny P., Leigh R., Pekel J.-F., Bogaert E., Bartholomé E., A new, global, multi-annual (2000–2007) burnt area product at 1 km resolution, Geophysical Research Letters, 2008, Vol. 35, pp. 1–6, DOI: 10.1029/2007GL031567.
  30. Taylor S. W., Woolford D. G., Dean C. B., Martell D. L., Wildfire prediction to inform fire management: Statistical science challenges, Statistical Science, 2013, Vol. 28, No. 4, pp. 586–615, DOI: 10.1214/13-STS451.
  31. Torres-Rojo J. M., Index for the estimation of the occurrence of forest fires in large areas (Índice para la estimación de ocurrencia de incendios forestales en superficies extensas), Revista Chapingo, Serie Ciencias Forestales y del Ambiente, 2020, Vol. 26, No. 3, pp. 433–449 (in Spanish). DOI: 10.5154/r.rchscfa.2019.11.082.
  32. Wilk M. B., Gnanadesikan R., Probability plotting methods for the analysis of data, Biometrika, 1968, Vol. 55, No. 1, pp. 1–17.