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Izvestiya, Atmospheric and Oceanic Physics

, Volume 54, Issue 9, pp 955–965 | Cite as

Satellite Monitoring of Burnt-out Areas and Emissions of Harmful Contaminants Due to Forest and Other Wildfires in Russia

  • V. G. BondurEmail author
  • K. A. Gordo
USE OF SPACE INFORMATION ABOUT THE EARTH

Abstract

In this paper we summarize the results of the satellite monitoring of various types of wildfires, as well as emissions of carbon-containing the CO and CO2 gases and the fine PM2.5 aerosol into the atmosphere due to wildfires, throughout the Russian Federation and several of its regions in 2005–2017. The methodology and features of the satellite system used for the monitoring are described. An analysis of the overall estimations of the total wildfire areas, areas of burnt-out forests, as well as the volumes of harmful contaminant emissions due to them, is given. It is shown that between 2005 and 2017 the total areas of all types of wildfires in Russia, including forest fires, more than halved due to the measures taken on urgent fire detection and well-timed actions to extinguish them. The burnt-out areas reached a peak of 234 700 km2 in 2006 were minimal (74 000 km2) in 2013. The largest areas of burnt-out forest were in the Siberian Federal District. Fires spread to a maximum of 53 600 km2 in this region in 2012, while the total burnt-out areas covered 65 000 km2.

Keywords:

remote sensing of the Earth wildfires vegetation cover satellite data satellite monitoring emissions harmful contaminants 

Notes

ACKNOWLEDGMENTS

This work was carried out with financial support of the Ministry of Education and Science of the Russian Federation within the Federal Target Programme “Research and development on priority directions of scientific and technological complex of Russia for 2014–2020” (unique project ID RFMEFI58317X0061).

REFERENCES

  1. 1.
    Andreae, M.O. and Merlet, P., Emission of trace gases and aerosols from biomass burning, Global Biogeochem. Cycles, 2001, vol. 15, no. 4, pp. 955–966.CrossRefGoogle Scholar
  2. 2.
    Bondur, V.G., Aerospace methods and technologies for monitoring oil and gas areas and facilities, Izv., Atmos. Ocean. Phys., 2011, vol. 47, no. 9, pp. 1007–1018.CrossRefGoogle Scholar
  3. 3.
    Bondur, V.G., Modern approaches to processing large hyperspectral and multispectral aerospace data flows, Izv., Atmos. Ocean. Phys., 2014, vol. 50, no. 9, pp. 840–852.CrossRefGoogle Scholar
  4. 4.
    Bondur, V.G., Satellite monitoring of trace gas and aerosol emissions during wildfires in Russia, Izv., Atmos. Ocean. Phys., 2016, vol. 52, no. 9, pp. 1078–1090.CrossRefGoogle Scholar
  5. 5.
    Bondur, V.G. and Ginzburg, A.S., Emission of carbon-bearing gases and aerosols from natural fires on the territory of Russia based on space monitoring, Dokl. Earth Sci., 2016, vol. 466, no. 2, pp. 148–152.CrossRefGoogle Scholar
  6. 6.
    Bondur, V.G. and Gordo, K.A., Satellite monitoring of wildfires and their effects in the Northern Eurasia, in 17th Int. Multidisc. Sci. GeoConf. 29 June–5 July, 2017, Albena, Bulgaria, 2017, pp. 227–238.Google Scholar
  7. 7.
    Bondur, V.G. and Starchenkov, S.A., Methods and programs for the processing and classification of aerospace images, Izv. Vyssh. Uchebn. Zaved., Geod. Aerofotos’emka, 2001, no. 3, pp. 118–143.Google Scholar
  8. 8.
    Bondur, V.G., Krapivin, V.F., and Savinykh, V.P., Monitoring i prognozirovanie prirodnykh katastrof (Monitoring and Forecasting of Natural Disasters), Moscow: Nauchny mir, 2009.Google Scholar
  9. 9.
    Bondur, V.G., Gordo, K.A., and Kladov, V.L., Spacetime distributions of wildfire areas and emissions of carbon-containing gases and aerosols in Northern Eurasia according to satellite-monitoring data, Izv., Atmos. Ocean. Phys., 2017, vol. 53, no. 9, pp. 859–874.CrossRefGoogle Scholar
  10. 10.
    Isaev, A.S., Korovin, G.N., and Sukhikh, V.I., Ekologicheskie problemy pogloshcheniya uglekislogo gaza posredstvom lesovosstanovleniya I lesorazvedeniya v Rossii: Analiticheskii obzor (Environmental Issues of Carbon Dioxide Absorption by Reforestation and Afforestation in Russia: Analytical Review), Moscow: Tsentr ekologicheskoi politiki Rossii, 1995.Google Scholar
  11. 11.
    Jia, G.J., Burk, I.C., Goetz, A.F.H., Kaufmann, M.R., and Kindel, B.C., Assessing spatial patterns of forest fuel using AVIRIS data, Remote Sens. Environ., 2006, vol. 102, nos. 3–4, pp. 318–327.Google Scholar
  12. 12.
    Key, C.H. and Benson, N.C., Landscape assessment: Remote sensing of severity, the normalized burn ratio, in FIREMON: Fire Effects Monitoring and Inventory System, General Technical Rep. RMRSGTR-164-CD: LA1-LA51, Ogden, UT: USDA Forest Service, Rocky Mountain Res. Stat., 2005.Google Scholar
  13. 13.
    Kulmala, M., Lappalainen, H.K., Petäjä, T., Bondur, V., et al., Introduction: The Pan-Eurasian Experiment (PEEX)—multidisciplinary, multiscale and multicomponent research and capacity-building initiative, Atmos. Chem. Phys., 2015, no. 15, pp. 13085–13096. doi 10.5194/acp-15-13085-2015Google Scholar
  14. 14.
    Lappalainen, H.K., Kerminen, V.-M., and Petäjä, T., Bondur, V., et al., Pan-Eurasian Experiment (PEEX): Towards a holistic understanding of the feedbacks and interactions in the land–atmosphere–ocean–society continuum in the Northern Eurasian region, Atmos. Chem. Phys., 2016, no. 16, pp. 14421–14461. doi 10.5194/acp‑16–14421–2016Google Scholar
  15. 15.
    Lopez Garcia, M.J. and Caselles, V., Mapping burns and natural reforestation using thematic mapper data, Geocarto Int., 1991, no. 1, pp. 31–37.Google Scholar
  16. 16.
    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.Google Scholar
  17. 17.
    Miller, J.D. and Yool, S.R., Mapping forest post-fire canopy consumption in several overstory types using multi-temporal Landsat TM and ETM data, Remote Sens. Environ., 2002, vol. 82, nos. 2–3, pp. 481–496.CrossRefGoogle Scholar
  18. 18.
    Seiler, W. and Crutzen, P.J., Estimates of gross and net fluxes of carbon between the biosphere and atmosphere from biomass burning, Clim. Change, 1980, vol. 2, no. 3, pp. 207–247.CrossRefGoogle Scholar
  19. 19.
    Shvidenko, A.Z., Shchepashchenko, D.G., McCallum, I., Lakyda, I.P., Vaganov, E.A., Sukhinin, A.I., and Maksyutov, Sh.Sh., Impact of wildfire in Russia between 1998–2010 on ecosystems and the global carbon budget, Dokl. Earth Sci., 2011, vol. 441, no. 2, pp. 1678–1682.CrossRefGoogle Scholar
  20. 20.
    Wiedinmyer, C., Quayle, B., Geron, C., et al., Estimating emissions from fires in North America for air quality modeling, Atmos. Environ., 2006, vol. 40, no. 19, pp. 3419–3432.CrossRefGoogle Scholar

Copyright information

© Pleiades Publishing, Ltd. 2018

Authors and Affiliations

  1. 1.AEROCOSMOS Research Institute for Aerospace MonitoringMoscowRussia

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