Журнал

About Editorial Board Information for authors and reviewers Publication ethics Contacts User Account: send / review a manuscript
Archive
Volume 21, 2024
Number 1 Number 2 Number 3 Number 4 Number 5
Volume 20, 2023
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 19, 2022
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 18, 2021
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 17, 2020
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6 Number 7
Volume 16, 2019
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 15, 2018
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6 Number 7
Volume 14, 2017
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6 Number 7
Volume 13, 2016
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 12, 2015
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 11, 2014
Number 1 Number 2 Number 3 Number 4
Volume 10, 2013
Number 1 Number 2 Number 3 Number 4
Volume 9, 2012
Number 1 Number 2 Number 3 Number 4 Number 5
Volume 8, 2011
Number 1 Number 2 Number 3 Number 4
Volume 7, 2010
Number 1 Number 2 Number 3 Number 4
Issue 6, 2009
Volume 1 Volume 2
Issue 5, 2008
Volume 1 Volume 2
Issue 4, 2007
Volume 1 Volume 2
Issue 3, 2006
Volume 1 Volume 2
Issue 2, 2005
Volume 1 Volume 2
Issue 1, 2004
Volume 1
Search
Find:
русский
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, 2014, Vol. 11, No. 4, pp. 217-229

The method of identifying burn severity of disturbed forest stands after wild fires of 2010 in Middle Povolzhje

O.N. Vorobiev  , E.A. Kurbanov  , S.A. Lezhnin  , Yu.A. Polevshikova  , E.N. Demisheva 
Volga State University of Technology, Yoshkar-Ola 424000, Russia
The paper discusses the method and results of experimental study on estimating burn severity of forest stands after wild fires of 2010 on the territory of Republics Mari El and Chuvashia. The algorithm of qualitative and quantitative estimation of forest stands in post-fire period of growth was described in detail. The state of the disturbed forest stands was estimated on the basis of Normalized Burn Ratio (NBR) and Composite Burn Index (CBI). For the evaluation of spatial distribution and different severity of degradation of forest ecosystems after wild fires of 2010, an unsupervised and supervised classification of Landsat images of 2009-2011 was applied. Ground truth reference and field data on the state of forests were obtained on the territory of test sites in both Republics during summer experimental works. The research results showed high degree of correlation between the spectral data of NBR and CBI indexes. The total burnt forest area after wild fires of 2010 in the Republic Mari El is 100,300 ha, while in Chuvashia – 12,700 ha. The wild fires affected mostly conifer stands of the 1-2 age class in the Northern part of Chuvashia, in Mari El the conifer and broadleaved forests were exposed equally. Control field trips to the burnt areas confirmed the accuracy of the research and the developed methodology.
Keywords: remote sensing, spectral vegetation indexes, forest fires, satellite images, image classification, forest ecosystems
Full text

References:

  1. Bartalev S.A., Egorov V.A., Efremov V.Yu., Lupyan E.A., Styitsenko F.V., Flitman E.V. Otsenka ploschadi pozharov na osnove kompleksirovaniya sputnikovyih dannyih razlichnogo prostranstvennogo razresheniya MODIS i Landsat-TM/ETM (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.
  2. Zhirin V.M., Eydlina S.P., Knyazeva S.V. Opyit lesovodstvennogo analiza posledstviy pozharov po kosmicheskim izobrazheniyam (Silvicultural analyses of the fires effects on the base of space images), Sovremennye problemyi distantsionnogo zondirovaniya Zemli iz kosmosa, 2013, Vol. 10, No. 3, pp. 243-259.
  3. Vorobev O.N., Kurbanov E.A., Gubaev A.V., Lezhnin S.A., Polevschikova Yu.A. Distantsionnyiy monitoring lesnyih garey v Mariyskom Zavolzhe (Remote monitoring of forest burnt areas in Mari Zavolhje), Vestnik Povolzhskogo gosudarstvennogo tehnologicheskogo universiteta. Ser.: Les. Ekologiya. Prirodopolzovanie, 2012, Vol. 1, pp. 12-22.
  4. Gosudarstvennaya inventarizatsiya lesov Rossiyskoy Federatsii. Rabochie pravila provedeniya polevyih rabot (State forest inventory of Russian Federation. Guidelines for the field works), Moscow: Roslesinforg, 2009, 96 p.
  5. Kurbanov E.A. Modelirovanie byudzheta ugleroda lesnyih nasazhdeniy na primere sosnyakov Povolzhya (Modelling of forest’s carbon budget on the example of pine stands in Povolzhje), Lesnoy zhurnal, 2009, Vol. 2, pp. 7-15.
  6. Kurbanov E.A., Vorobev O.N., Gubaev A.V., Lezhnin S.A., Polevschikova Yu.A., Demisheva E.N. Chetyire desyatiletiya issledovaniy lesov po snimkam Landsat (Four decades of forest research with the use of Landsat images), Vestnik Povolzhskogo gosudarstvennogo tehnologicheskogo universiteta. Ser.: Les. Ekologiya. Prirodopolzovanie, 2014, Vol. 1, No. 21, pp. 18-32.
  7. Kurbanov E.A., Vorobev O.N., Nezamaev S.A., Gubaev A.V., Lezhnin S.A., Polevschikova Yu. A. Tematicheskoe kartirovanie i stratifikatsiya lesov Mariyskogo Zavolzhya po sputnikovyim snimkam Landsat (Thematic mapping and stratification of forests in Middle Zavolzhje by Landsat satellite images), Vestnik Povolzhskogo gosudarstvennogo tehnologicheskogo universiteta. Ser.: Les. Ekologiya. Prirodopolzovanie, 2013, Vol. 3, pp. 72-82.
  8. Kurbanov E.A., Nureeva T.V., Vorobev O.N., Gubaev A.V., Lezhnin S.A., Miftahov T.F., Nezamaev S.A., Polevschikova Yu.A. Distantsionnyiy monitoring dinamiki narusheniy lesnogo pokrova, lesovozobnovleniya i lesovosstanovleniya v Mariyskom Zavolzhe (Remote monitoring of disturbances in forest cover, reforestation and afforestation of Mari Zavolzhje), Vestnik Mariyskogo gosudarstvennogo tehnicheskogo universiteta. Ser.: Les. Ekologiya. Prirodopolzovanie, 2011, Vol. 3, pp. 17-24.
  9. Lupyan E.A., Savin I.Yu., Bartalev S.A., Tolpin V.A., Balashov I.V. Plotnikov D.E. Sputnikovyiy servis monitoringa sostoyaniya rastitelnosti («Vega») (Satellite service for vegetation monitoring VEGA), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2011, Vol. 8, No.1, pp. 190-198.
  10. Metodika otsenki posledstviy lesnyih pozharov. Sbornik metodik po prognozirovaniyu vozmozhnyih avariy, katastrof, stihiynyih bedstviy v RSChS (kniga 2) (Estimation method of wild fires severity on forests: proceedings for the prognosis of possible accidents, catastrophes, natural disasters in Russia (Vol. 2)), MChS Rossii, 1994, 11 p.
  11. Rukovodstvo po planirovaniyu, organizatsii i vedeniyu lesopatologicheskih obsledovaniy. (Guidelines for planning, organization and carrying out forest pathology research) Rosleshoz Rule # 523 of 29.12.2007.
  12. Stytsenko F.V., Bartalev S.A., Egorov V.A., Lupyan E.A. Metod otsenki stepeni povrezhdeniya lesov pozharami na osnove sputnikovyih dannyih MODIS (Post-fire forest tree mortality assessment method using MODIS satellite data), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2013, Vol. 10, No. 3, pp. 243-259.
  13. Terehin, E.A. Analiz kanalov sputnikovyih dannyih Landsat TM dlya otsenki harakteristik lesnyih nasazhdeniy lesostepnoy provintsii srednerusskoy vozvyishennosti (Analysis of Landsat TM satellite data bands for the estimation of forest stand characteristics of forest-steppe province in Middle Russian upland), Issledovanie Zemli iz kosmosa, 2012, No. 2, pp. 53-62.
  14. Alina C., McKenzie D., How Robust Are Burn Severity Indices When Applied in a New Region? Evaluation of Alternate Field-Based and Remote-Sensing Methods, Remote Sensing, 2012, Vol. 4, pp. 456-483.
  15. Allison E.C., Peter A.B., Fulé and Joseph E. Crouse. Comparison of burn severity assessments using Differenced. Normalized Burn Ratio and ground data, International Journal of Wildland Fire, 2005, Vol. 14, pp. 189–198.
  16. Chuvieco E, Riano D, Danson F.M, Martin M.P, Use of a radiative transfer model to simulate the post-fire spectral response to burn severity, Journal of Geophysical Research, 2006, Vol. 111, DOI: 10.1029/2005JG000143.
  17. Epting J., Verbyla D., Sorbel B., Evaluation of remotely sensed indices for assessing burn severity in interior Alaska using Landsat TM and ETM+, Remote Sensing of Environment, 2005, Vol. 96, pp. 328 – 339.
  18. Hall R.J., Freeburn J.T., de Groot W.J., Pritchard J.M., Lynham T.J., Landry R., Remote sensing of burn severity: experience from western Canada boreal fires, International Journal of Wildland Fire, 2008, Vol. 17, pp. 476–489.
  19. Hoscilo A., Tansey K.J., Page S.E., Post-fire vegetation response as a proxy to quantify the magnitude of burn severity in tropical peatland, International Journal of Remote Sensing, 2013, Vol. 34, No. 2, pp. 412-433.
  20. Hudak A.T., Morgan P., Smith B.M.J., Lewis S.A., Lentile L.B., Robichaud P.R., Clark J.T., McKinley R.A., The relationship of multispectral satellite imagery to immediate fire effects, Journal of Fire Ecology, 2007, Vol. 3, pp. 64−90.
  21. Jose R.R.L. van Leeuwen W.J.D., Casady G.M., Using MODIS-NDVI for the Modeling of Post-Wildfire Vegetation Response as a Function of Environmental Conditions and Pre-Fire Restoration Treatments, Remote sensing, 2012, Vol. 4, pp. 598−621.
  22. Kasischke E.S., Turetsky M.R., Ottmar R.D., French N.H.F., Hoy E.E., Kane E.S., Evaluation of the composite burn index for assessing fire severity in Alaskan black spruce forests, International Journal of Wildland Fire, 2008, Vol. 17, pp. 515–526.
  23. Key C.H., Ecological and sampling constraints on defining landscape fire severity, Fire Ecology, 2006, Vol. 2, pp. 34-59.
  24. Kurbanov E., Vorobiev O., Gubayev A., Moshkina L., Leznin S., Carbon sequestration after pine afforestation on marginal lands in the Povolgie region of Russia: A case study of the potential for a Joint Implementation activity, Scandinavian Journal of Forest Research, 2007, Vol. 22, pp. 488-499.
  25. Loboda T., O'Neal K.J., Csiszar I., Regionally adaptable dNBR-based algorithm for burned area mapping from MODIS data, Remote Sensing of the Environment, 2007, Vol. 109, No. 4, pp. 429-442.
  26. Wittenberg L, Malkinson D., Beeri O., Halutzy A., Tesler N., Spatial and temporal patterns of vegetation recovery following sequences of forest fires in a Mediterranean landscape Mt Carmel Israel, Catena, 2007, Vol. 71, pp. 76–83.
  27. Zheng D., Rademacher J., Chen J., Crow T., Bresee M., Moine J.Le, Ryu S.R., Estimating aboveground biomass using Landsat 7 ETM+ data across a managed landscape in northern Wisconsin, USA, Remote sensing of environment, 2004, Vol. 93, pp. 402–411.