Geoinformation Modeling of the Lower Dnipro National Nature Park conditions as a consequence the Kakhovka Dam destruction

Fixation, Monitoring & Assessment of War Consequences and Post-War Reconstruction (NEW)

Authors

First and Last Name	Academic degree	E-mail	Affiliation
Sophia Hordiichuk	No	sophiahi2705 [at] gmail.com	Taras Shevchenko National University of Kyiv Kyiv, Ukraine Institute of Geology Kyiv, Ukraine
Anatolii Chernov	Ph.D.	achernovp [at] gmail.com	Private researcher Kyiv, Ukraine
Dmytro Liashenko	Sc.D.	uageog [at] gmail.com	Taras Shevchenko National University of Kyiv Kyiv, Ukraine Institute of Geology Kyiv, Ukraine
Iryna Stakhiv	Ph.D.	stakhivira [at] gmail.com	Taras Shevchenko National University of Kyiv Kyiv, Ukraine Institute of Geology Kyiv, Ukraine

I and my co-authors (if any) authorize the use of the Paper in accordance with the Creative Commons CC BY license

First published on this website: 23.08.2024 - 22:22

Abstract

The study highlights the use of remote sensing (RS) for geoinformation modelling of the Kakhovka dam destruction impact on the Lower Dnipro National Nature Park. The modelling was performed with data from the Landsat satellite and geographic information systems (GIS) methods. Authors describe the algorithm for processing of geospatial data from Landsat, evaluate the flooding scale with water index and judge the condition of plants by vegetation index. The study concludes that ongoing monitoring and the development of comprehensive approaches for the rehabilitation of the affected areas are necessary. The use of modelling results is proposed for planning of protection and restoration activities to overcome the consequences of man-made disasters.

Keywords

References

Dorosh, Y., Ibatullin, S., Dorosh, O., Sakal, O., & Dorosh, A. (2023). The use of geoinformation technologies in determining the area of flooded lands as a result of the destruction of the Kakhovskaya HPP dam. Land management, cadastre and land monitoring, 0 (3), 98-109. doi: http://dx.doi.org/10.31548/zemleustriy2023.03.09 [In Ukrainian].

EOS Data Analytics. (26.07.2022 p.). eos.com. Отримано з NDVI: Normalized Difference Vegetation Index: https://eos.com/make-an-analysis/ndvi/

Isupova, S., & Chernov, A. (2023). Witnessing Changes of the Ukrainian Landscape: Drawing the Segments of Ukrainian Terrain Using a Map-Making Machine. 17th International Conference Monitoring of Geological Processes and Ecological Condition of the Environment, Nov 2023, Volume 2023, p.1 – 5. https://doi.org/10.3997/2214-4609.2023520067

Kastridis, A., Theodosiou, G., & Fotiadis, G. (2021). Investigation of flood management and mitigation measures in ungauged NATURA protected watersheds. Hydrology, 8(4), 170. URL: https://doi.org/10.3390/hydrology8040170

Kourgialas, N. N., & Karatzas, G. P. (2011). Flood management and a GIS modelling method to assess flood-hazard areas—a case study. Hydrological Sciences Journal, 56(2), 212–225. URL: https://doi.org/10.1080/02626667.2011.555836

Ministry of Environmental Protection and Natural Resources of Ukraine. (2020, 2023). Environmental passports. Retrieved from mepr.gov.ua: https://mepr.gov.ua/diyalnist/napryamky/ekologichnyj-monitoryng/ekologichni-pasporty/ [In Ukrainian].

Szabo, S., Gácsi, Z., & Balazs, B. (2016). Specific features of NDVI, NDWI and MNDWI as reflected in land cover categories. https://doi.org/10.21120/LE/10/3-4/13

Tsiupa, I., & Plichko, L. (2023). Study of Dynamics of Changes in the Kakhovka Reservoir Based on Remote Sensing Data. 2023(1), 1–5. URL: https://doi.org/10.3997/2214-4609.2023520170

Valle Júnior, R. F. do, Siqueira, H. E., Valera, C. A., Oliveira, C. F., Sanches Fernandes, L. F., Moura, J. P., & Pacheco, F. A. L. (2019). Diagnosis of degraded pastures using an improved NDVI-based remote sensing approach: An application to the Environmental Protection Area of Uberaba River Basin (Minas Gerais, Brazil). Remote Sensing Applications: Society and Environment, 14, 20–33. https://doi.org/10.1016/j.rsase.2019.02.001