Журнал

About Editorial Board Information for authors and reviewers Publication ethics Contacts User Account: send / review a manuscript
Archive
Volume 22, 2025
Number 1 Number 2
Volume 21, 2024
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
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, 2025, Vol. 22, No. 2, pp. 163-172

Using Landsat and UAV data to assess post-pyrogenic dynamics of drained raised bogs in the taiga zone of Western Siberia

A.A. Sinyutkina 1 
1 Siberian Research Institute of Agriculture and Peat — Division of Siberian Federal Scientific Centre of Agro-Bio Technologies RAS, Tomsk, Russia
Accepted: 07.03.2025
DOI: 10.21046/2070-7401-2025-22-2-163-172
The use of Earth remote sensing data is a reliable and affordable method for assessing the intensity of wildfires and monitoring post-pyrogenic ecosystem restoration. Under anthropogenic stress, mires are prone to fires that lead to significant carbon emissions into the atmosphere, long-term and sometimes irreversible changes in vegetation cover and disruptions in the functioning of the mire as a carbon sink. The purpose of the study is to develop and test methods based on the use of UAV survey data to assess the state of raised bogs in conditions of post-pyrogenic restoration. The objects of the study are two drained raised bogs (Bakchar and Ust-Bakchar) located in the taiga zone of Western Siberia. They burned in 2014 and 2016. The study uses data from multispectral imagery from the DJI Phantom 4 Multispectral UAV, Landsat satellite imagery and field geobotanical research. A comparison of the values of the NDVI (Normalized Difference Vegetation Index) calculated on the basis of Landsat and UAV data shows similar spatial dynamics, but the values obtained from the UAV are higher by 0.01–0.08 units. A factor analysis of NDVI values and vegetation cover characteristics shows an inverse relationship of NDVI with the proportion of surface burnout, the projective cover (PC) of Polytrichum strictum and a direct relationship with PC of sphagnum mosses and pine in the Bakchar bog with lower drainage intensity. In the drier Ust-Bakchar bog, NDVI has a direct relationship with the proportion of burnout, PC of birch undergrowth, P. strictum and an inverse relationship with PC of pine and sphagnum mosses. The interrelationships of NDVI values with the characteristics of the vegetation cover of raised bogs in conditions of post-pyrogenic restoration are individual for each object of study. An increase in the index may reflect restoration of vegetation to its original state on some sites, as is noted on the Bakchar bog, while on other bogs, on the contrary, irreversible changes in the ecosystem.
The research was financially supported by the Russian Science Foundation, project No. 22-77-10024.
Keywords: wildfire, Great Vasyugan mire, geobotanical research, Tomsk region, NDVI
Full text

References:

  1. Doronina A. Yu., Galanina O. V., Smagin V. A., Orlov T. V., Bogs of the Lembolovskaya upland (Leningrad Region), Botanical J., 2020, V. 105, No. 9, pp. 909–918 (in Russian), DOI: 10.31857/S0006813620090033.
  2. Moskovchenko D. V., Aref’ev S. P., Moskovchenko M. D., Yurtaev A. A., Spatio-temporal analysis of wildfires in the forest-tundra of Western Siberia, Contemporary Problems of Ecology, 2020, V. 13, No. 2, pp. 193–203, DOI: 10.1134/S1995425520020092.
  3. Orlov T. V., Shakhmatov K. L., Efficiency analysis of rewetting peatbogs in Tver Oblast on the basis of remote sensing data, Geoekologiya. Inzhenernaya geologiya, gidrogeologiya, geokriologiya, 2020, No. 6, pp. 74–82 (in Russian), DOI: 10.31857/S0869780920060089.
  4. Ostroukhov A. V., Klimina E. M., Landscape mapping of hard-to-reach regions using geoinformation technologies (the case of specially protected nature reserves of Khabarovsk Territory), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2020, V. 17, No. 1, pp. 139–149 (in Russian), DOI: 10.21046/2070-7401-2020-17-1-139-149.
  5. Sizov O. S., Tsymbarovich P. R., Ezhova E. V. et al., Assessment of the post-pyrogenic dynamics of tundra vegetation in the northern part of Western Siberia over the past 50 years (1968–2018) based on detailed and high resolution remote sensing data, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2020, V. 17, No. 4, pp. 137–153 (in Russian), DOI: 10.21046/2070-7401-2020-17-4-137-153.
  6. Sinyutkina A. A., The application of vegetation and water indices to assess the state of post-pyrogenic raised bogs in Western Siberia, Bull. Irkutsk State University. Series Earth Sciences, 2024, V. 48, pp. 90–109 (in Russian), DOI: 10.26516/2073-3402.2024.48.90.
  7. Sinyutkina A. A., Gashkova L. P., Kharanzhevskaya Yu. A., Pyrogenic changes of bog vegetation and peat in Western Siberia, Lomonosov Geography J., 2024, V. 79, No. 1, pp. 78–88 (in Russian), DOI: 10.55959/MSU0579-9414.5.79.1.6.
  8. Tretyakova A. S., Grudanov N. Yu., Vakhrusheva A. D. et al., Flora of protected mires in the southern part of the Sverdlovsk Region: Report 1, Flora and Vegetation of Asian Russia, 2022, V. 15, No. 4, pp. 280–292 (in Russian), DOI: 10.15372/RMAR20220403.
  9. Shinkarenko S. S., Bartalev S. A., Application of remote sensing data in large-scale monitoring of wetlands, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2023, V. 20, No. 6, pp. 9–34 (in Russian), DOI: 10.21046/2070-7401-2023-20-6-9-34.
  10. Assiri M., Sartori A., Persichetti A. et al., Leaf area index and aboveground biomass estimation of an alpine peatland with a UAV multi-sensor approach, GIScience and Remote Sensing, 2023, V. 60, Iss. 1, Article 2270791, DOI: 10.1080/15481603.2023.2270791.
  11. Benscoter B. W., Vitt D. H., Spatial patterns and temporal trajectories of the bog ground layer along a post-fire chronosequence, Ecosystems, 2008, V. 11, pp. 1054–1064, DOI: 10.1007/s10021-008-9178-4.
  12. Benscoter B. W., Vitt D. H., Wieder R. K., Association of postfire peat accumulation and microtopography in boreal bogs, Canadian J. Forest Research, 2005, V. 35, No. 9, pp. 2188–2193.
  13. Czapiewski S., Assessment of the applicability of UAV for the creation of digital surface model of a small peatland, Frontiers in Earth Science, 2022, No. 10, Article 834923, DOI: 10.3389/feart.2022.834923.
  14. Feurdean A., Florescu G., Tanţău I. et al., Recent fire regime in the southern boreal forests of Western Siberia is unprecedented in the last five millennia, Quaternary Science Reviews, 2020, V. 244, Article 106495, DOI: 10.1016/j.quascirev.2020.106495.
  15. Kettridge N., Turetsky M. R., Sherwood J. H. et al., Moderate drop in water table increases peatland vulnerability to post-fire regime shift, Scientific Reports, 2015, V. 5, Article 8063, DOI: 10.1038/srep08063.
  16. Knoth C., Klein B., Prinz T., Kleinebecker T., Unmanned aerial vehicles as innovative remote sensing platforms for high‐resolution infrared imagery to support restoration monitoring in cut-over bogs, Applied Vegetation Science, 2013, V. 16, Iss. 3, pp. 509–517, DOI: 10.1111/avsc.12024.
  17. Kolari T. H. M., Sallinen A., Wolff F. et al., Ongoing fen–bog transition in a boreal aapa mire inferred from repeated field sampling, aerial images, and Landsat data, Ecosystems, 2022, V. 25, pp. 1166–1188, DOI: 10.1007/s10021-021-00708-7.
  18. Lehmann J. R. K., Münchberger W., Knoth C. et al., High-resolution classification of South Patagonian peat bog microforms reveals potential gaps in up-scaled CH4 fluxes by use of unmanned aerial system (UAS) and CIR imagery, Remote Sensing, 2016, V. 8, Iss. 3, Article 173, DOI: 10.3390/rs8030173.
  19. Moore P. A., Lukenbach M. C., Kettridge N. et al., Peatland water repellency: Importance of soil water content, moss species, and burn severity, J. Hydrology, 2017, No. 554, pp. 656–665, DOI: 10.1016/j.jhydrol.2017.09.036.
  20. Simpson G., Nichol C. J., Wade T. et al., Species-level classification of peatland vegetation using ultra-high-resolution UAV imagery, Drones, 2024, V. 8, Iss. 3, Article 97, DOI: 10.3390/drones8030097.
  21. Sinyutkina A., Drainage consequences and self-restoration of drained raised bogs in the south-eastern part of Western Siberia: Peat accumulation and vegetation dynamics, Catena, 2021, V. 205, Article 105464, DOI: 10.1016/j.catena.2021.105464.