Preview

Proceedings of the National Academy of Sciences of Belarus, Biological Series

Advanced search

Analysis of forest cover dynamics in Belarus based on remote sensing data

https://doi.org/10.29235/1029-8940-2022-67-3-293-303

Abstract

An analysis of the forest vegetation cover dynamics in Belarus based on the integration of satellite cartographic products and remote sensing data is presented in the article. Currently, the stable forest cover occupies 7209.0 thousand hectares (75.8 %); the forests formed on the previously non-forest lands – 1459.5 thousand hectares (14.7 %). The loss of forests amounted to 1569.3 thousand hectares for the period 1985–2020. For the period 2016–2020, the average annual deforestation area was 83.4 thousand ha/year, or 2.3 times higher than the average one for 1985–2015. The largest forest loss areas were in 2016–2018. Compared to the data of the National Statistical Committee for 2020, the difference with the actual area of the forest-covered land was 664.9 thousand hectares (7.4 % discrepancy). The area of the forested land according to the remote sensing data is 8999.3 thousand hectares, the forest cover is 43.3 %.

The proposed approach to analyzing the forest vegetation changes based on remote sensing data is a high-quality and cost-effective information support for managerial decisions on the forest use.

About the Authors

Dz. G. Grummo
V. F. Kuprevich Institute of Experimental Botany of the National Academy of Sciences of Belarus
Belarus

Dzmitry G. Grummo – Ph. D. (Biol.), Director

27, Akademicheskaya Str., 220072, Minsk



A. V. Pugachevsky
V. F. Kuprevich Institute of Experimental Botany of the National Academy of Sciences of Belarus
Belarus

Alexander V. Pugachevsky – Ph. D. (Biol.), Leading Researcher

27, Akademicheskaya Str., 220072, Minsk



S. G. Rusetsky
V. F. Kuprevich Institute of Experimental Botany of the National Academy of Sciences of Belarus
Belarus

Siarhei G. Rusetski – Researche

27, Akademicheskaya Str., 220072, Minsk



N. A. Zeliankevich
V. F. Kuprevich Institute of Experimental Botany of the National Academy of Sciences of Belarus
Belarus

Natallia A. Zeliankevich – Ph. D. (Biol.), Leading Researcher

27, Akademicheskaya Str., 220072, Minsk

 



References

1. Wulder M. A., White J. C., Goward S. N., Masek J. G., Irons J. R., Herold M., Woodcock C. E. Landsat continuity: issues and opportunities for land cover monitoring. Remote Sensing of Environment, 2008, vol. 112, no. 3, pp. 955–969. https://doi.org/10.1016/j.rse.2007.07.004

2. Bartalev S. A., Egorov V. A., Ershov D. V., Isaev A. S., Lupyan E. A., Plotnikov D. E., Uvarov I. A. Satellite mapping of the vegetation cover of Russia according to the data of the MODIS spectroradiometer. Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa [Modern problems of remote sensing of the Earth from space], 2011, vol. 8, no. 4, pp. 285–302 (in Russian).

3. Turubanova S. A., Krylov A. M., Potapov P. V., Tyukavina A. Yu. Analysis of forest cover dynamics in Eastern Europe based on satellite data from 1985 to 2012. Russian Journal of Ecosystem Ecology, 2017, vol. 2, no. 1, pp. 1–11 (in Russian).

4. Global Land Analysis & Discovery. Available at: http://glad.geog.umd.edu/ (accessed 24.01.2022).

5. Potapov P. V., Turubanova S. A., Tyukavina A., Krylov A. M., McCarty J. L., Radeloff V. C., Hansen M. C. Eastern Europe’s forest cover dynamics from 1985 to 2012 quantified from the full Landsat archive. Remote Sensing of Environment, 2014, vol. 159, pp. 28–43. https://doi.org/10.1016/j.rse.2014.11.027

6. Belova E. S., Ershov D. V. Technique for creating cloud-free composite images from satellite data. Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa: sbornik tezisov Vos’moi Vserossiiskoi otkrytоi konferentsii, Moskva, IKI RAN, 15–19 noyabrya 2010 g. [Modern problems of remote sensing of the Earth from space : рroceedings of the Eighth All-Russian оpen сonference, Moscow, IKI RAS, November 15–19, 2010]. Available at: http://conf.rse.geosmis.ru/thesisshow.aspx?page=31&thesis=2439 (accessed 06.04.2022) (in Russian).

7. Belova E. S., Ershov D. V. Pre-processing of time series of Landsat-TM/ETM+ images when creating cloud-free terrain images]. Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa [Modern problems of remote sensing of the Earth from space], 2011, vol. 8, no. 1, pp. 73–82 (in Russian).

8. Gavrilyuk E. A., Ershov D. V. Method of joint processing of multi-seasonal Landsat-TM images and creation of a map of terrestrial ecosystems of the Moscow region on their basis. Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa [Modern problems of remote sensing of the Earth from space], 2012, vol. 9, no. 4, pp. 15–23 (in Russian).

9. Potapov P., Hansen M. C. Regional-scale boreal forest cover and change mapping using Landsat data composites for European. Remote Sensing of Environment, 2011, vol. 115, no. 2, pp. 548–561. https://doi.org/10.1016/j.rse.2010.10.001

10. Shimada M., Itoh T., Motooka T., Watanabe M., Tomohiro Sh., Thapa R., Lucas R. New global forest/non-forest maps from ALOS PALSAR data (2007–2010). Remote Sensing of Environment, 2014, vol. 155, pp. 13–31. https://doi.org/10.1016/j. rse.2014.04.014

11. Hansen M. C., Loveland T. R. A review of large area monitoring of land cover change using landsat data. Remote Sensing of Environment, 2012, vol. 122, pp. 66–74. https://doi.org/10.1016/j.rse.2011.08.024

12. Hansen M. C., Potapov P. V., Moore R., Hancher M., Turubanova S. A., Tyukavina A. 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

13. Giglio L., Boschetti L., Roy D. P., Roy D. P., Humber M. L., Justice C. O. The collection 6 MODIS burned area mapping algorithm and product. Remote Sensing of Environment, 2018, vol. 217, pp. 72–85. https://doi.org/10.1016/j.rse.2018.08.005

14. Medvedeva I. V., Kukharevich E. I., Vasilevskaya Zh. N., Dovnar O. A., Tarasyuk N. V., Lapkovskaya T. V., Mazaiskaya I. A., Palkovskaya E. M., Zdrok E. A. Environmental Protection in the Republic of Belarus [2014–2020]. Statistical compendium. Minsk, National Statistical Committee of the Republic of Belarus, 2021. 203 p. (in Russian).

15. OneSoil. Available at: https://onesoil.ai (accessed 06.04.2022).

16. Global Forest Watch. Available at: https://www.globalforestwatch.org (accessed 06.04.2022).


Review

Views: 488


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 1029-8940 (Print)
ISSN 2524-230X (Online)