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, 2017, Vol. 14, No. 2, pp. 84-97

Remote monitoring of vegetation regeneration dynamics on burnt areas of Mari Zavolzhje forests

O.N. Vorobev 1 , E.A. Kurbanov 1 
1 Volga State University of Technology, Center of Sustainable Forest Management and Remote Sensing, Yoshkar-Ola, Russia
Accepted: 29.03.2017
DOI: 10.21046/2070-7401-2017-14-2-84-97
Forest fires are the main disturbance factor for natural ecosystems, especially in boreal forests. Monitoring of the regeneration dynamics of vegetation cover in the post-fire period of ecosystem recovery is crucial for both estimation of forest stands and forest management. In this study, on the example of burnt areas of 2010 wildfires in Kuyarski forest district of Mari Zavolzhje forests we estimated the post-fire dynamics of different classes of vegetation cover between 2011−2016 years by use of Landsat and Canopus-B time series satellite images. To validate the newly obtained thematic maps we used 80 test sites with independent field data, as well as Canopus-B high spatial resolution images. For the analysis of the satellite images we referred to Normalized Differenced Vegetation Index (NDVI) and Tasseled Cap transformation. The research revealed that in the post-fire period, the area of thematic classes “Reforestation of the middle and low density” has maximum cover (44%) on the investigated burnt area. On the burnt areas of 2010, there is an active ongoing process of grass overgrowing (up to 20%), also there are thematic classes of deadwood (15%) and open spaces (10%). The overall unsupervised classification accuracy is more than 70% which shows high degree of consistency between the thematic map and the ground truth data. The results indicate that there is mostly natural regeneration of tree species pattern corresponding to the pre-fire condition. Forest plantations cover only 2% of the overall burnt area. By 2016, the NDVI parameters of young vegetation cover had recovered to the pre-fire level as well. The research results can be employed in long-term succession monitoring on the lands disturbed by fire and management plan development for the reforestation activities in Mari Zavolzhje.

Keywords: remote sensing, Landsat, Canopus-B, NDVI, forest burnt areas, image classification, thematic mapping, vegetation cover
Full text

References:

  1. Bartalev S.A., Egorov V.A., Zharko V.O., Loupian E.A., Plotnikov D.E., Khvostikov S.A., Sostoyanie i perspektivy razvitiya metodov sputnikovogo kartografirovaniya rastitel'nogo pokrova Rossii (Current state and development prospects of satellite mapping methods of Russia’s vegetation cover), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2015, Vol. 12, No. 5, pp. 203−221.
  2. Bartalev S.A., Egorov V.A., Krylov A.M., Stytsenko F.V., Khovratovich T.S., Issledovanie vozmozhnostei otsenki sostoyaniya povrezhdennykh pozharami lesov po dannym mnogospektral'nykh sputnikovykh izmerenii (The evaluation of possibilities to assess forest burnt severity using multi-spectral satellite data), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2010, Vol. 7, No. 3, pp. 215−225.
  3. Bartalev S.A., Loupian E.A. Stytsenko F.V., Panova O.Yu., Efremov V.Yu., Ekspress-kartografirovanie povrezhdenii lesov Rossii pozharami po sputnikovym dannym Landsat (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.
  4. Vorob'ev O.N., Kurbanov E.A., Gubaev A.V., Lezhnin S.A., Polevshchikova Yu.A., Demisheva E.N., Distantsionnyi monitoring gorodskikh lesov (Remote sensing monitoring of urban forests), Vestnik Povolzhskogo gosudarstvennogo tekhnologicheskogo universiteta, Serija “Les. Ekologiya. Prirodopol'zovanie”, 2015, No. 1 (25), pp. 5−21.
  5. Vorob'ev O.N., Kurbanov E.A., Lezhnin S.A., Polevshchikova Yu.A., Demisheva E.N., Metodika vyyavleniya stepeni povrezhdeniya drevostoev posle pozharov 2010 goda v Srednem Povolzh'e (The method of identifying the measure of severity of disturbed forest stands after wild fires of 2010 in Middle Povolzhje), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2014, Vol. 11, No. 4, pp. 217−229.
  6. Elsakov V.V., Telyatnikov M.Yu., Mezhgodovye izmeneniya indeksa NDVI na territorii evropeiskogo severo-vostoka Rossii i zapadnoi Sibiri v usloviyakh klimaticheskikh fluktuatsii poslednikh desyatiletii (Effects of interannual climatic fluctuations of the last decade on NDVI in north-eastern European Russia and Western Siberia), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2013, Vol. 10, No. 3, pp. 260–271.
  7. Elsakov V.V., Marushchak I.O., Spektrozonal'nye sputnikovye izobrazheniya v vyyavlenii trendov klimaticheskikh izmenenii lesnykh fitotsenozov zapadnykh sklonov pripolyarnogo Urala (Spectrazonal satellite images in estimation of climatic trends of forest vegetation on west slopes of subpolar Ural, Komp'yuternaya optika, 2011, Vol. 35, No. 2, pp. 281−286.
  8. Zhirin V.M., Eidlina S.P., Knyazeva S.V., Opyt lesovodstvennogo analiza posledstvii pozharov po kosmicheskim izobrazheniyam (Silvicultural analysis of the fires effects on the base of space images), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2013, Vol. 10, No. 3, pp. 243–259.
  9. Kurbanov E.A. Vorob'ev O.N., Lezhnin S.A., Gubaev A.V., Polevshchikova Yu.A., Tematicheskoe kartirovanie rastitel'nogo pokrova po sputnikovym snimkam: validatsiya i otsenka tochnosti (Thematic mapping of vegetation cover by satellite images: validation and accuracy assessment), Ioshkar-Ola: Povolzhskii gosudarstvennyi tekhnologicheskii universitet, 2015, 126 p.
  10. Kurbanov E.A., Vorob'ev O.N., Gubaev A.V., Lezhnin S.A., Polevshchikova Yu.A., Otsenka tochnosti i sopostavimosti tematicheskikh kart lesnogo pokrova raznogo prostranstvennogo razresheniya na primere Srednego Povolzh'ya (Assessment of accuracy and comparability of forest cover thematic maps of different spatial resolution by example of Middle Povolzhje), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2016, Vol. 13, No. 1, pp. 36−48.
  11. Kurbanov E.A., Vorob'ev O.N., Gubaev A.V., Lezhnin S.A., Polevshchikova Yu.A., Demisheva E.N., Chetyre desyatiletiya issledovanii lesov po snimkam Landsat (Four decades of forest research with the use of Landsat images), Vestnik Povolzhskogo gosudarstvennogo tekhnologicheskogo universiteta. Serija “Les. Ekologiya. Prirodopol'zovanie”, 2014, No. 1 (21), pp. 18−32.
  12. Kurbanov E.A., Vorob'ev O.N., Lezhnin S.A., Polevshchikova Yu.A., Otsenka zagryaznenii drevostoyami otkhodami silikatnogo proizvodstva po snimku Rapid Eye (Estimation of forest contamination by the waste of silicate production on RapidEye image), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2013, Vol. 10, No. 2, pp. 88−97.
  13. Loupian E.A., Savin I.Ju., Bartalev S.A., Tolpin V.A., Balashov I.V., Plotnikov D.E., Sputnikovyj servis monitoringa sostojanija rastitel'nosti (“Vega”)(Satellite monitoring service of the vegetation cover condition (“Vega”)), Sovremennye problemy distancionnogo zondirovanija Zemli iz kosmosa, 2011, Vol. 8, No. 1, pp. 190–198.
  14. Terekhin E.A., Primenenie dannykh sputnikovoi s"emki dlya analiza mnogoletnikh izmenenii v lesakh Belgorodskoi oblasti (Using remote sensing data for the analysis of long-term changes in the forests of the Belgorod region), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2013, Vol. 10, No. 2, pp. 70–80.
  15. Brewer C.K., Winne J.C., Redmond R.L., Opitz D.W., Mangrich M.V., Classifying and mapping wildfire severity, Photogrammetric engineering and remote sensing, 2005, No. 71 (11), pp. 1311−1320.
  16. Carreiras J., Pereira J.M.C., Pereira J.S., Estimation of tree canopy cover in evergreen oak woodlands using remote sensing, Forest Ecology and Management, 2006, No. 23, pp. 45−53.
  17. Chen W., Moriya K., Sakai T., Koyama L., Cao C., Monitoring of post-fire forest recovery under different restoration modes based on time series Landsat data, European Journal of remote Sensing, 2014, No. 47, pp. 153−168.
  18. Cuevas-Gonzalez M., Gerard F., Baltzer H., Riano D., Analysing forest recovery after wildfire disturbance in boreal Siberia using remotely sensed vegetation indices, Global change biology 2009, No. 15 (3), pp 561−577.
  19. Elmore A., Mustard J.F., Manning S.J., Lobell D.B., Quantifying vegetation change in semiarid Environments: precision and accuracy of spectral mixture analysis and the Normalized Difference Vegetation Index, Remote Sensing of Environment, 2000, No. 73, pp. 87−102.
  20. Healey S.P., Cohen W.B., Zhiqiang Y., Krankina O.N., Comparison of tasseled cap-based Landsat data structures for use in forest disturbance detection, Remote Sensing of Environment, 2005, No. 97, pp. 301−310.
  21. Hope A., Albers N., Bart R., Characterizing post-fire recovery of fynbos vegetation in the Western Cape Region of South Africa using MODIS data, International Journal of Remote Sensing, 2012, No. 33 (4), pp. 979−999.
  22. Ireland G., Petropoulos G.P., Exploring the relationships between postfire vegetation regeneration dynamics, topography and burn severity: A case study from the montane cordillera ecozones of western Canada, Applied Geography, 2015, No. 56, pp. 232–248.
  23. Lhermitte S., Verbesselt J., Verstraeten W.W., Veraverbeke S., Coppin P., Assessing intra-annual vegetation regrowth after fire using the pixel based regeneration index, ISPRS Journal of Photogrammetry and Remote Sensing, 2011, No. 66 (1), pp. 17−27.
  24. Liu W., Song C., Schroeder T.A., Cohen W.B., Predicting forest successional stages using multitemporal Landsat imagery with forest inventory and analysis data, International Journal of Remote Sensing, 2008, No. 29, pp. 3855–3872.
  25. Manandhar R., Inakwu O.A., Ancev T., Improving the accuracy of land use and land cover classification of Landsat data using post-classification enhancement, Remote Sensing, 2009, Vol. 1, pp. 330−344.
  26. Ohmann J.L., Gregory M.J., Roberts H.M., Cohen W.B., Kennedy R.E., Yang Z., Mapping change of older forest with nearest-neighbor imputation and Landsat time-series, Forest Ecology and Management, 2012, No. 272, pp. 13−25
  27. Pettorelli N., Vik J.O., Mysterud A., Gaillard J.M., Tucker C.J., Stenseth N.C,. Using the satellite-derived NDVI to assess ecological responses to environmental change, Trends in Ecology and Evolution, 2005, No. 20, pp. 503−510.
  28. Rasi R., Bodart C., Stibig H.J., Eva H., Beuchle R., Carboni S., Simonetti D., Achard F., An automated approach for segmenting and classifying a large sample of multi-date Landsat imagery for pan-tropical forest monitoring, Remote Sensing of Environment, 2011, Vol. 115, pp. 3659−3669.
  29. Riano D., Chuvieco E., Ustin S., Zomer R., Dennisonc P., Roberts D., Salas J., Assessment of vegetation regeneration after fire through multitemporal analysis of AVIRIS images in the Santa Monica Mountains, Remote Sensing of Environment, 2002, No. 79, pp. 60−71.
  30. Schroeder T.A., Wulder M.A., Healey S.P., Moisen G.G., Detecting post-fire salvage logging from Landsat change maps and national fire survey data, Remote Sensing of Environment, 2012, No. 122, pp. 166−174.
  31. Song C., Schroede, T.A., Cohen W.B., Predicting temperate conifer forest successional stage distributions with multitemporal Landsat Thematic Mapper imagery, Remote Sensing of Environment, 2007, No. 106, pp. 228–237.
  32. Song C., Woodcock C.E., Li X., The spectral/temporal manifestation of forest succession in optical imagery: The potential of multitemporal imagery, Remote sensing of environment, 2002, No. 82 (2), pp. 285−302.
  33. Vila G., Barbosa P., Post-fire vegetation regrowth detection in the Deiva Marina region (Liguria-Italy) using Landsat TM and ETM+ data, Ecological Modelling, 2010, No. 221 (1), pp. 75−84.
  34. Zhu H.L., Linear spectral unmixing assisted by probability guided and minimum residual exhaustive search for subpixel classification, International Journal of Remote Sensing, 2005, No. 26 (24), pp. 5585−5601.