SpringerLink
Log in

A Study of the Dependence of the Degree of Forest Damage by Fires on the Intensity of Burning According to Satellite-Monitoring Data

  • Published:
Cosmic Research Aims and scope Submit manuscript

Abstract

This study is devoted to the research of the dependence of the degree of forest damage by fires on the characteristics of the intensity of their burning according to satellite monitoring data by the MODIS system. As a measure of fire intensity, the study uses the fire radiation power (FRP), normalized to the area of the observation element (FRPS). The study proposes an approach that allows us to construct dependences of the degree of forest damage on FRPS values. The approach was developed based on a comparison of FRPS information obtained using MODIS instrument data and information from a postfire assessment of the degree of forest damage. An analysis was performed of the data accumulated at the Space Research Institute of the Russian Academy of Sciences throughout Russia for the period from 2006 to 2021. This made it possible to analyze a significant number of regions (more than 10 million pixels), in which there is information on FRPS and the degree of forest damage. At the same time, data on the time (season), in which the fire was active, and the prevailing type of forest cover were also analyzed for each region. The availability of this information and representative statistics made it possible to obtain estimates of the probability of forest death from the intensity of burning, taking into account the type of forest cover and the duration of the fire. The study presents the obtained dependences and a brief analysis of their features. Based on the use of the obtained dependences, a new method for the rapid assessment of the area of pyrogenic forest death is proposed.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1.
Fig. 2.
Fig. 3.
Fig. 4.
Fig. 5.
Fig. 6.
Fig. 7.
Fig. 8.
Fig. 9.
Fig. 10.
Fig. 11.

REFERENCES

  1. Bartalev, S.A. and Stytsenko, F.V., An assessment of the forest stands destruction by fires based on the remote sensing data on a seasonal distribution of burnt areas, Lesovedenie, 2021, no. 2, pp. 115–122.

  2. Bartalev, S., Egorov, V., Krylov, A., Stytsenko, F., and Khovratovich, T., The evaluation of possibilities to assess forest burnt severity using multi-spectral satellite data, Sovrem. Probl. Distantsionnogo Zondirovaniya Zemli Kosmosa, 2010, vol. 7, no. 3, pp. 215–225.

    Google Scholar 

  3. Bartalev, S.A., Egorov, V.A., Ershov, D.V., Isaev, A.S., Loupian, E.A., Plotnikov, D.E., and Uvarov I.A., Map** of Russia’s vegetation cover using MODIS satellite spectroradiometer data, Sovrem. Probl. Distantsionnogo Zondirovaniya Zemli Kosmosa, 2011, vol. 8, no. 4, pp. 285–302.

    Google Scholar 

  4. Bartalev, S.A., Stytsenko, F.V., Egorov, V.A., and Loupian, E.A., Satellite-based assessment of Russian forest fire mortality, Lesovedenie, 2015, no. 2, pp. 83–94.

  5. Bartalev, S.A., Egorov, V.A., Zharko, V.O., Loupian, E.A., Plotnikov, D.E., Khvostikov, S.A., and Shabanov, N.V., Sputnikovoe kartografirovanie rastitel’nogo pokrova Rossii (Land Cover Map** over Russia Using Earth Observation Data), Moscow: Inst. Kosm. Issled. Ross. Akad. Nauk, 2016.

  6. Bartalev, S.A., Stytsenko, F.V., Khvostikov, S.A., and Loupian, E.A., Methodology of post-fire tree mortality monitoring and prediction using remote sensing data, Sovrem. Probl. Distantsionnogo Zondirovaniya Zemli Kosmosa, 2017, vol. 14, no. 6, pp. 176–193. https://doi.org/10.21046/2070-7401-2017-14-6-176-193

    Article  Google Scholar 

  7. Galeev, A.A., Proshin, A.A., Ershov, D.V., Tashchilin, S.A., and Mazurov A.A., Forest fires satellite monitoring data storage management, Sovrem. Probl. Distantsionnogo Zondirovaniya Zemli Kosmosa, 2005, vol. 2, no. 2, pp. 367–371.

    Google Scholar 

  8. Loupian, E.A., Bartalev, S.A., Balashov, I.V., Egorov, V.A., Ershov, D.V., Kobets, D.A., Senko, K.S., Stytsenko, F.V., and Sychugov, I.G., Satellite monitoring of forest fires in the 21st century in the territory of the Russian Federation (facts and figures based on active fires detection), Sovrem. Probl. Distantsionnogo Zondirovaniya Zemli Kosmosa, 2017, vol. 14, no. 6, pp. 158–175. https://doi.org/10.21046/2070-7401-2017-14-6-158-175

    Article  Google Scholar 

  9. Loupian, E.A., Proshin, A.A., Burtsev, M.A., Kashnitskiiy, A.V., Balashov I. V., Bartalev S.A., Konstantinova, A.M., Kobets, D.A., Mazurov, A.A., Marchenkov, V.V., Matveev, A.M., Radchenko, M.V., Sychugov, I.G., Tolpin, V.A., and Uvarov, I.A., Experience of development and operation of the “IKI-Monitoring” center for collective use of systems for archiving, processing and analyzing satellite data, Sovrem. Probl. Distantsionnogo Zondirovaniya Zemli Kosmosa, 2019, vol. 16, no. 3, pp. 151–170. https://doi.org/10.21046/2070-7401-2019-16-3-151-170

    Article  Google Scholar 

  10. Loupian, E.A., Stytsenko, F.V., Senko, K.S., Balashov, I.V., and Mazurov, A.A., Burnt area assessment using MOD-IS Collection 6 active fire data, Sovrem. Probl. Distantsionnogo Zondirovaniya Zemli Kosmosa, 2021, vol. 18, no. 4, pp. 178–192. https://doi.org/10.21046/2070-7401-2021-18-4-178-192

    Article  Google Scholar 

  11. Ponomarev, E.I., Shvetsov, E.G., and Usataya, Yu.O., Registration of wildfire energy characteristics in Siberian forests using remote sensing, Issled. Zemli Kosmosa, 2017, no. 4, pp. 3–11.

  12. Rukovodstvo po provedeniyu sanitarno-ozdorovitel’nykh meropriyatii. Prilozhenie 2 k prikazu Rosleskhoza ot 29.12.2007 No. 523 (Guidelines for the Implementation of Sanitary and Recreational Activities. Annex 2 to the Order of Rosleskhoz No. 523 Dated December 29, 2007).

  13. Stytsenko, F.V., Bartalev, S.A., Egorov, V.A., and Loupian, E.A., Post-fire forest tree mortality assessment method using MODIS satellite data, Sovrem. Probl. Distantsionnogo Zondirovaniya Zemli Kosmosa, 2013, vol. 10, no. 1, pp. 254–266.

    Google Scholar 

  14. Uvarov, I.A. and Bartalev, S.A., The algorithm and software suite for land cover types recognition based on locally-adaptive supervised classification of satellite imagery, Sovrem. Probl. Distantsionnogo Zondirovaniya Zemli Kosmosa, 2010, vol. 7, no. 1, pp. 353–365.

    Google Scholar 

  15. Boschetti, L. and Roy, D.P., Strategies for the fusion of satellite fire radiative power with burned area data for fire radiative energy derivation, J. Geophys. Res., 2009, vol. 114, p. D20302. https://doi.org/10.1029/2008JD011645

    Article  ADS  Google Scholar 

  16. Giglio, L., Schroeder, W., and Justice, C.O., The collection 6 MODIS active fire detection algorithm and fire products, Remote Sens. Environ., 2016, vol. 178, pp. 31–41.

    Article  ADS  Google Scholar 

  17. Hansen, M.C., Potapov, P.V., Moore, R., Hancher, M., Turubanova, S.A., Tyukavina, A., Thau, D., Stehman, S.V., Goetz, S.J., Loveland, T.R., Kommareddy, A., Egorov, A., Chini, L., Justice, C.O., and Townshend, J.R.G., High-resolution global maps of 21st-century forest cover change, Science, 2013, vol. 342, no. 6160, pp. 850–853. https://doi.org/10.1126/science.1244693

    Article  ADS  Google Scholar 

  18. Heward, H., Smith, A.M.S., Roy, D.P., Tinkham, W.T., Hoffman, Ch.M., Morgan, P., and Lannom, K.O., Is burn severity related to fire intensity? Observations from landscape scale remote sensing, Int. J. Wildland Fire, 2013, vol. 22, no. 7, pp. 910–918. https://doi.org/10.1071/WF12087

    Article  Google Scholar 

  19. Ichoku, C. and Kaufman, Y.J., A method to derive smoke emission rates from MODIS fire radiative energy measurements, IEEE Trans. Geosci. Remote Sens., 2005, vol. 43, no. 11, pp. 2636–2649.

    Article  ADS  Google Scholar 

  20. Justice, C.O., Giglio, L., Roy, D., Boschetti, L., Csiszar, I., Davies, D., Korontzi, S., Schroeder, W., O’Neal, K., and Morisette, J., MODIS-derived global fire products, Land Remote Sens. Global Environ. Change, 2011, vol. 29, pp. 661–679.

    Google Scholar 

  21. Kaiser, J.W., Heil, A., Andreae, M.O., Benedetti, A., Chubarova, N., Jones, L., Morcrette, J.-J., Razinger, M., Schultz, M.G., Suttie, M., and van der Werf, G.R., Biomass burning emissions estimated with a global fire assimilation system based on observed fire radiative power, Biogeosci. Discuss., 2012, vol. 9, pp. 527–554.

    Article  ADS  Google Scholar 

  22. Kaufman, Y.J. and Justice, C.O., MODIS ATBD: Fire Products, 1998, EOS ID no. 2741.

  23. Kumar, S.S., Roy, D.P., Boschetti, L., and Kremens, R., Exploiting the power law distribution properties of satellite fire radiative power retrievals: A method to estimate fire radiative energy and biomass burned from sparse satellite observations, J. Geophys. Res., 2011, vol. 116, p. D19303. https://doi.org/10.1029/2011JD015676

    Article  ADS  Google Scholar 

  24. Miller, J.D. and Thode, A.E., Quantifying burn severity in a heterogeneous landscape with a relative version of the delta Normalized Burn Ratio (dNBR), Remote Sens. Environ., 2007, no. 109, pp. 66–80.

  25. Morgan, P., Hardy, C.C., Swetnam, T.W., Rollins, M.G., and Long, D.G., Map** fire regimes across time and space: Understanding coarse and fine-scale fire patterns, Int. J. Wildland Fire, 2001, vol. 10, no.4, pp. 329–342. https://doi.org/10.1071/WF01032

    Article  Google Scholar 

  26. Mottram, G.N., Wooster, M., Balzter, H., George, Ch., Gerrard, F., and Beisley, J., The use of MODIS-derived Fire Radiative Power to characterise Siberian boreal forest fires, 2005.

  27. Ryan, K.C., Dynamic interactions between forest structure and fire behavior in boreal ecosystems, Silva Fennica, 2002, vol. 36, no. 1, pp. 13–39.

    Article  Google Scholar 

  28. White, J.D., Ryan, K.C., Key, C.C., and Running, S.W., Remote sensing of forest fire severity and vegetation recovery, Int. J. Wildland Fire, 1996, no. 6, pp. 125–136.

  29. Wooster, M.J., Zhukov, B., and Oertel, D., Fire radiative energy for quantitative study of biomass burning: Derivation from the BIRD experimental satellite and comparison to MODIS fire products, Remote Sens. Environ., 2003, no. 86, pp. 83–107.

  30. Wooster, M.J., Roberts, G., and Perry, G.L.W., Retrieval of biomass combustion rates and totals from fire radiative power observations: FRP derivation and calibration relationships between biomass consumption and fire radiative energy release, J. Geophys. Res., 2005, vol. 110, p. D24311. https://doi.org/10.1029/2005JD006318

    Article  ADS  Google Scholar 

  31. Wooster, M., Xu, W., and Nightingale, T., Sentinel-3 SLSTR active fire detection and FRP product: Pre-launch algorithm development and performance evaluation using MODIS and ASTER datasets, Remote Sens. Environ., 2012, no. 120, pp. 236–254.

Download references

Funding

This study was supported by the Ministry of Science and Higher Education of the Russian Federation (topic “Monitoring,” no. 122042500031-8) using the resources of the IKI-Monitoring Center for Collective Use ([9], http://ckp. geosmis.ru/). The preparation of information on the degree of forest damage based on postfire satellite imagery data was supported by the Russian Science Foundation (grant no. 19-77-30015).

Author information

Authors and Affiliations

  1. Space Research Institute, Russian Academy of Sciences, 117997, Moscow, Russia

    E. A. Loupian, D. V. Lozin, I. V. Balashov, S. A. Bartalev & F. V. Stytsenko

  2. Moscow State University, 119991, Moscow, Russia

    E. A. Loupian & D. V. Lozin

  3. Center of Forest Ecology and Productivity, Russian Academy of Sciences, 117997, Moscow, Russia

    S. A. Bartalev

Authors
  1. E. A. Loupian
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. D. V. Lozin
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. I. V. Balashov
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. S. A. Bartalev
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. F. V. Stytsenko
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to D. V. Lozin.

Additional information

Translated by N. Topchiev

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Loupian, E.A., Lozin, D.V., Balashov, I.V. et al. A Study of the Dependence of the Degree of Forest Damage by Fires on the Intensity of Burning According to Satellite-Monitoring Data. Cosmic Res 60 (Suppl 1), S46–S56 (2022). https://doi.org/10.1134/S001095252270006X

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1134/S001095252270006X

Keywords:

Search

Navigation