In this paper, we carried out a damage assessment of the Kupiansk forest farm as a
result of the military actions. This analysis was based on indicators such as forest
area and canopy density. Due to the active military actions, obtaining the necessary
data in the study using ground observations and measurements is impossible. For
this reason, we have used only remotely sensed data to estimate the selected
indicators, namely the Dynamic World classification maps based on Sentinel-2
imagery and Leaf Area Index (LAI) acquired by the MODIS dataset. It was found
that the forest area decreased by 1.7 times in the 2024 year compared to the 2021
year. Moreover, the LAI decreased by 1.92 times for the same period.
Andreiev, A., Kozlova, A., Artiushyn, L., & Sedlacek, P. (2024). Enhancement of Land Cover Classification by Geospatial Data Cube Optimization. Computer Modeling and Intelligent Systems, 3702, 292-304.
Brown, C. F., Brumby, S. P., Guzder-Williams, B., Birch, T., Hyde, S. B., Mazzariello, J., Czerwinski, W., Pasquarella, V. J., Haertel, R., Ilyushchenko, S., Schwehr, K., Weisse, M., Stolle, F., Hanson, C., Guinan, O., Moore, R., & Tait, A. M. (2022). Dynamic World, Near real-time global 10 m land use land cover mapping. Scientific Data, 9(1). https://doi.org/10.1038/s41597-022-01307-4
Kozlova, A., Stankevich, S., Svideniuk, M., & Andreiev, A. (2021). Quantitative Assessment of Forest Disturbance with C-Band SAR Data for Decision Making Support in Forest Management. In Lecture notes on data engineering and communications technologies, 548–562. DOI: https://doi.org/10.1007/978-3-030-82014-5_37
Matsala, M., Odruzhenko, A., Hinchuk, T., Myroniuk, V., Drobyshev, I., Sydorenko, S., Zibtsev, S., Milakovsky, B., Schepaschenko, D., Kraxner, F., & Bilous, A. (2024). War drives forest fire risks and highlights the need for more ecologically-sound forest management in post-war Ukraine. Scientific Reports, 14(1). https://doi.org/10.1038/s41598-024-54811-5
Myneni, R., Knyazikhin, Y., & Park, T. (2021). MODIS/Terra Leaf Area Index/FPAR 8-Day L4 Global 500m SIN Grid V061 [Data set]. NASA EOSDIS Land Processes Distributed Active Archive Center. DOI: https://doi.org/10.5067/MODIS/MOD15A2H.061
Popov, M., Stankevich, S., Mosov, S., Titarenko, O., Dugin, S., Golubov, S., & Andreiev, A. (2022). Method for Minefields Mapping by Imagery from Unmanned Aerial Vehicle. Advances in Military Technology, 17(2), 211–229. DOI: https://doi.org/10.3849/aimt.01722
Rodrigues, J. A., Martins, A., Mendes, M., Farinha, J. T., Mateus, R. J. G., & Cardoso, A. J. M. (2022). Automatic risk assessment for an industrial asset using unsupervised and supervised learning. Energies, 15(24), 9387. DOI: https://doi.org/10.3390/en15249387
Stankevich, S. A., Kozlova, A. A., Piestova, I. O., & Lubskyi, M. S. (2017) Leaf area index estimation of forest using sentinel-1 C-band SAR data. MRRS 2017 - 2017 IEEE Microwaves, Radar and Remote Sensing Symposium, Proceedings, 8075075, 253 – 256. DOI: https://doi.org/10.1109/MRRS.2017.8075075
Stankevich, S., Kozlova, A., Zaitseva, E., & Levashenko, V. (2023). Multivariate risk assessment of land degradation by remotely sensed data. International Conference on Information and Digital Technologies (IDT), 45-50. DOI: https://doi.org/10.1109/IDT59031.2023.10194398
Tomchenko, O. V., Khyzhniak, A. V., Sheviakina, N. A., Zahorodnia, S. A., Yelistratova, L. A., Yakovenko, M. I., & Stakhiv, I. R. (2023). Assessment and monitoring of fires caused by the War in Ukraine on Landscape scale. Journal of Landscape Ecology, 16(2), 76–97. DOI: https://doi.org/10.2478/jlecol-2023-0011
Trofymchuk, O., Vishnyakov, V., Sheviakina, N., Klymenko, V., & Tomchenko, O. (2022). Detection of thermal anomalies as a result of military actions in Ukraine by remote sensing methods. SGEM International Multidisciplinary Scientific GeoConference. DOI: https://doi.org/10.5593/sgem2022/2.1/s10.35
Zaitseva, E., Stankevich, S., Kozlova, A., Piestova, I., Levashenko, V., & Rusnak, P. (2021). Assessment of the risk of disturbance impact on primeval and managed forests based on earth observation data using the example of Slovak Eastern Carpathians. IEEE Access, 9, 162847–162856. https://doi.org/10.1109/access.2021.3134375