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Title: DYNAMICS ASSESSMENT OF CHANGES IN FOREST COVER AREA ON THE UKRAINE TERRITORY IN THE 21TH CENTURY BASED ON SATELLITE DATA
DYNAMICS ASSESSMENT OF CHANGES IN FOREST COVER AREA ON THE UKRAINE TERRITORY IN THE 21TH CENTURY BASED ON SATELLITE DATA

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Alexander Apostolov; Lesya Yelistratova; Dmytro Todchuk; Igor Onopchuk
10.5593/sgem2024v/3.2/s13.33
10.5593/sgem2024v/3.2
1314-2704
978-619-7603-76-7
English
24
3.2
•    Prof. DSc. Oleksandr Trofymchuk, UKRAINE 
•    Prof. Dr. hab. oec. Baiba Rivza, LATVIA
Forest Ecosystems and Sustainable Forestry
In Ukraine, as well as all regions of the world, deforestation processes are taking place. Monitoring forests in real-time is one of the key ways to solve the problem of deforestation. Satellite technologies make it possible to do this promptly and in time and space.
In this research, the online platform Google Earth Engine was used, which provides access to remote sensing data and geospatial data sets with analysis capabilities. The research was conducted for the period 2001-2023 at the regional level and each administrative oblast. Noting that the war started on the territory of Ukraine in 2022, the research was also conducted separately for the years 2022-2023. Comparison of the obtained data with the pre-war period made it possible to assess the impact of hostilities on the forest cover within each administrative oblast, and they were ranked by the total area of forest cover loss.
The analysis of the obtained data shows that a significant increase in deforestation, compared to 2001-2021, occurs in those areas where hostilities are taking place: Luhansk, Kharkiv, Kherson, Donetsk oblasts, or occurred in 2022 and where the strengthening of the northern border is currently taking place, by creating defensive structures in forest areas (Kyiv and Zhytomyr oblasts).
[1] Bodo, T., Gimah, B.G., & Seomoni, K.J. (2021). Deforestation and Habitat Loss: Human Causes, Consequences and Possible Solutions. Journal of Geographical Research. 4(2), 22–30. DOI: https://doi.org/10.30564/jgr.v4i2.3059
[2] Ievsiukov T. O., Martyn A., Elistratova L., Apostolov A., Kostyuchenko Yu. V. and Yuschenko M. (2018) An Investigation of the Impact of the Military Crisis in Ukraine on Agricultural Production and Land Resources in Crisis Territories: Approaches, Algorithms, and Methods. in: Agricultural Production: Management, Opportunities and Challenges, ed. by Sarah Waechter, Nova Science Publishers, USA, pp. 21-86, ISBN: 978-1-53613-719-4
[3] Lesia Yelistratova, Alexander Аpostolov, Vadim Lyalko, Olha Tomchenko, Anna Khyzhniak, Artur Hodorovsky (2022). The results of socio-ecological monitoring during military operations in Ukraine using satellite information. Rev. Roum. Geogr./Rom. Journ. Geogr., 66, (2), p. 117–1361
[4] Oral, H.V. (2020). Deforestation. In: Romaniuk, S., Thapa, M., Marton, P. (eds) The Palgrave Encyclopedia of Global Security Studies. Palgrave Macmillan, Cham. DOI: https://doi.org/10.1007/978-3-319-74336-3_390-1
[5] Berenguer, Erika., Armenteras, Dolors., Lees, Alexander., Smith, Charlotte., Fearnside, Philip., Nascimento, Nathalia., G, Ane., Almeida, Claudio., Aragao, Luiz., Barlow, Jos., Bilbao, Bibiana., Brando, Paulo., Bynoe, Paulette., Finer, Matt., Flo-Res, Bernardo., Jenkins, Clinton., Silva-Junior, Celso., Souza Jr, Carlos., Garcia-Villacorta, Roosevelt. (2021). Chapter 19: Drivers and ecological impacts of deforestation and forest degradation. Amazon Assessment Report 2021. DOI: http://dx.doi.org/10.55161/AIZJ1133
[6] Blanc, Lilian, Gond, Valery, Ho Tong Minh, Dinh. (2016). Remote Sensing and Measuring Deforestation. Land Surface Remote Sensing. Environment and Risks. 27-53. DOI: https://doi.org/10.1016/B978-1-78548-105-5.50002-5
[7] Wang, J.; He, Z.; Wang, C.; Feng, M.; Pang, Y.; Yu, T.; Li, X. Investigation of Long-Term Forest Dynamics in Protected Areas of Northeast China Using Landsat Data. Remote Sens. 2022. V. 14. 2988. [Electronic resource]. - Mode access: https://doi.org/10.3390/rs14132988
[8] Braun, A.C. (2022). Deforestation by Afforestation: Land Use Change in the Coastal Range of Chile. Remote Sens. 14, 1686. DOI: https://doi.org/10.3390/rs14071686
[9] Matosak, B.M.; Fonseca, L.M.G.; Taquary, E.C.; Maretto, R.V.; Bendini, H.d.N.; Adami, M. (2022). Mapping Deforestation in Cerrado Based on Hybrid Deep Learning Architecture and Medium Spatial Resolution Satellite Time Series. Remote Sens. 14, 209. DOI: https://doi.org/10.3390/rs14010209
[10] Torres, D.L.; Turnes, J.N.; Soto Vega, P.J.; Feitosa, R.Q.; Silva, D.E.; Marcato Junior, J.; Almeida, C. (2021). Deforestation Detection with Fully Convolutional Networks in the Amazon Forest from Landsat-8 and Sentinel-2 Images. Remote Sens. 13(24), 5084. DOI: https://doi.org/10.3390/rs13245084
[11] Naing Tun, Z., Dargusch, P., McMoran, D., McAlpine, C., Hill, G. (2021). Patterns and Drivers of Deforestation and Forest Degradation in Myanmar. Sustainability. 13(14), 7539. DOI: https://doi.org/10.3390/su13147539
[12] Mitchell, A.L., Rosenqvist, A. & Mora, B. (2017). Current remote sensing approaches to monitoring forest degradation in support of countries measurement, reporting and verification (MRV) systems for REDD+. Carbon Balance Manage 12, 9. DOI: https://doi.org/10.1186/s13021-017-0078-9
[13] Lee, S.-H.; Han, K.-J.; Lee, K.; Lee, K.-J.; Oh, K.-Y.; Lee, M.-J. (2020). Classification of Landscape Affected by Deforestation Using High-Resolution Remote Sensing Data and Deep-Learning Techniques. Remote Sens. 12(20), 3372. DOI: https://doi.org/10.3390/rs12203372
[14] Gonzalez-Gonzalez, A., Villegas, J. C., Clerici, N., & Salazar, J. F. (2021). Spatial-temporal dynamics of deforestation and its drivers indicate need for locally-adapted environmental governance in Colombia. Ecological Indicators, 126, 107695. DOI: https://doi.org/10.1016/j.ecolind.2021.107695
[15] Hansen, M. C., P. V. Potapov, R. Moore, M. Hancher, S. A. Turubanova, A. Tyukavina, D. Thau, S. V. Stehman, S. J. Goetz, T. R. Loveland, A. Kommareddy, A. Egorov, L. Chini, C. O. Justice, and J. R. G. Townshend (2013). High-ResolutionGlobalMapsof 21st-Century ForestCoverChange. Science 342 (15 November), 850-853. DOI: https://doi.org/10.1126/science.1244693
The paper was carried out within the scope of the scientific project RC№ 0122U000552, "Comprehensive analysis of robust preventive and adaptive measures of management of food, energy, water, and the social sphere in conditions of systemic risks and consequences of СОVID-19".
conference
https://doi.org/10.5593/sgem2024v/3.2/s13.33
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Proceedings of 24th International Multidisciplinary Scientific GeoConference SGEM 2024
24th International Multidisciplinary Scientific GeoConference SGEM 2024, 27 - 30 November, 2024
Proceedings Paper
STEF92 Technology
International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM
SWS Scholarly Society; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci and Arts; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; European Acad Sci, Arts and Letters; Acad Fine Arts Zagreb Croatia; Croatian Acad Sci and Arts; Acad Sci Moldova; Montenegrin Acad Sci and Arts; Georgian Acad Sci; Acad Fine Arts and Design Bratislava; Russian Acad Arts; Turkish Acad Sci.
269-276
27 - 30 November, 2024
website
10078
Deforestation, remote sensing data, Ukraine

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