Influence of War on the Forest Plantations of the Left Bank Kherson Region

Year 2024, Volume: 10 Issue: 2, 123 - 132, 13.12.2024

Denys Breus , Nataliia Nikonchuk Oleg Pismennyi

https://doi.org/10.33904/ejfe.1478132

Abstract

Mapping burnt areas of forest plantations is needed to understand the scale of the violation and plan the post-fire activities to save the biggest artificially made forest in the world. The military actions due to the ongoing war in Ukraine complicate the monitoring by traditional and standard methods. Given the complexities of military actions, our study during this period is heavily reliant on remote sensing, marking a significant shift from traditional methods. The article is dedicated to the impact of hostilities resulting from Russian armed aggression against Ukraine on the state of forest plantations and shelterbelts of the left bank Kherson region. The research was conducted using images of Sentinel-2 L2A satellite, focusing on the study of forest burnt areas from the beginning of hostilities on the territory of the occupied Kherson region in February 2022 to March 2024. The pre-war year 2021 was used as a benchmark for comparing the state of forest plantations. Satellite images were used to generate the Normalized Difference Vegetation Index (NDVI) and Normalized Burn ratio (NBR) index to determine and monitor forest cover changes and burnt areas in forest plantations as a result of hostilities on the research territory using ArcGIS Pro. The area of study is 44 657 hectares, and the burnt area of Oleshky forest in March 2024 was 7 833 hectares (17.5 %). The conducted studies have proved the critical situation with forest plantations on the left bank of the Dnipro River within the Kherson region. This situation necessitates immediate and collaborative intervention to save the ecosystem of Oleshky forest.

Keywords

Forest cover, Burnt area, Remote sensing, Santinel-2 L2A, NDVI, NBR

References

• by using GIS techniques and AHP Method: A case study in Bodrum (Turkey). European Journal of Forest Research, 5(1):25-35. DOI: 10.33904/ ejfe.579075.
• Almohamad, H. 2020. Impact of land cover change due to armed conflicts on soil erosion in the basin of the northern Al-Kabeer River in Syria using the RUSLE model. Water, 12(12):3323. DOI:10.3390/w1212 3323.
• Boiko, T.O., Boiko, P.M., Breus, D.S. 2018. Optimization of shelterbelts in the Steppe zone of Ukraine in the context of sustainable development. Proc. 18-th International Multidisciplinary Scientific GeoConference SGEM: 871-876. DOI: 10.5593/sgem 2018/3.2/S14.112.
• Breus, D.S. and Skok, S.V. 2021. Spatial modeling of agro-ecological condition of soils in Steppe Zone of Ukraine. Indian Journal of Ecology, 48(3):627-633. DOI: 10.12911/22998993/161761.
• Chu, T. and Guo, X. 2013. Remote sensing techniques in monitoring post-fire effects and patterns of forest recovery in boreal forest regions: A review. Remote Sensing, 6(1):470-520. DOI: 10.3390/rs6010470.
• Dudiak, N.V., Pichura, V.I., Potravka, L.A., Stroganov, A.A. 2020. Spatial modeling of the effects of deflation destruction of the steppe soils of Ukraine. Journal of Ecological Engineering, 21(2):166-177. DOI: 10.12911/22998993/116321.
• Issa, M. and Abboud, M. 2022. Forest fire disaster risk analysis using Sentinel 2 and Landsat images case study: Al-Qoubaiyat and Tyre regions, Lebanon. Turkish Journal of Geosciences, 3(2):84-94. DOI: 10.48053/turkgeo.1177843
• Lisetskii, F., Polshina, M., Pichura, V., Marinina, O. 2017. Climatic factor in long-term development of forest ecosystems. Proc. 17-th International Multidisciplinary Scientific GeoConference SGEM, 17(32):765-774. DOI: 10.5593/sgem2017/32/S14. 099.
• Marx, A. and Goward, S. 2013. Remote sensing in human rights and international humanitarian law monitoring: Concepts and methods. Geographical Review, 103(1):100-111. DOI: 10.1111/j.19310846. 2013.00188.x.
• Miller, J.D. and Thode, A.E. 2007. Quantifying burn severity in a heterogeneous landscape with a relative version of the delta Normalized Burn Ratio (dNBR). Remote sensing of Environment, 109(1):66-80.
• Navarro, G., Caballero, I., Silva, G., Parra, P.C., Vázquez, Á., Caldeira, R. 2017. Evaluation of forest fire on Madeira Island using Sentinel-2A MSI imagery. International Journal of Applied Earth Observation and Geoinformation, 58:97-106. DOI: 10.1016/j.jag. 2017.02.003.
• Othman, M.A., Ash’Aari, Z.H., Aris, A.Z., Ramli, M.F. 2018. Tropical deforestation monitoring using NDVI from MODIS satellite: A case study in Pahang, Malaysia. In IOP Conference Series: Earth and Environmental Science 169(1):012047. DOI: 10. 1088/1755-1315/169/1/012047.
• Pereira, P., Bašić, F., Bogunovic, I., Barcelo, D. 2022. Russian-Ukrainian war impacts the total environment. Science of the Total Environment, 837: 155865. DOI: 10.1016/j.scitotenv.2022.155865.
• Pichura, V., Potravka, L., Stratichuk, N., Drobitko, A. 2023. Space-time modeling and forecasting steppe soil fertility using geo-information systems and neuro-technologies. Bulgarian Journal of Agricultural Science, 29(1):182-197.
• Rouse, J.W., Haas, R.H., Schell, J.A, Deering, D.W. 1973. Monitoring vegetation systems in the great plains with ERTS (Earth Resources Technology Satellite). Proc. of Third Earth Resources Technology Satellite Symposium, Greenbelt, Canada, 10-14 December; SP-351:309-317.
• Sokolović, D., Bajric, M., Akay, A.E. 2022. Using GIS-based Network Analysis to Evaluate the Accessible Forest Areas Considering Forest Fires: The Case of Sarajevo. European Journal of Forest Engineering, 8(2):93-99. DOI:10.33904/ejfe.1211687.
• Witmer, F.D.W. 2015. Remote sensing of violent conflict: eyes from above. International Journal of Remote Sensing, 36 (9):2326-2352. DOI: 10.1080/01431161.2015.1035412.