Analysis of the land cover structure dynamics of landscapes in the Chernobyl Nuclear Power Plant exclusion zone (methodical aspect)

Land Cover Mapping & UAV

Authors

First and Last Name Academic degree E-mail Affiliation
Liudmyla Sorokina Sc.D. sorokina_geo [at] ukr.net Institute of Geography of the National Academy of Sciences of Ukraine
Kyiv, Ukraine
Taras Shevchenko National University of Kyiv
Kyiv, Ukraine
Yevhen Tsyhanok Ph.D. e.tsiganok [at] gmail.com Taras Shevchenko National University of Kyiv
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: 15.08.2024 - 00:22
Abstract 

The dynamics of changes of the landscapes land cover structure of the Chernobyl nuclear power plant exclusion zone were traced based on the data of remote sensing of the earth for three time slices - 1992, 2018 and 2023.The factors of such changes are processes of natural landscape successions and various anthropogenic influences on landscapes. Natural restoration of landscapes dominates here. The human impact on landscapes is the result of the territory decontamination, the construction of confinement and storage of radioactive waste, fires in forests and fallows, the consequences of the occupation of this territory by Russian troops in February-March 2022. Such changes in landscapes are recorded on high-resolution satellite images.

The methods of deciphering satellite images are considered. The data from the nature observations are used to calculate multispectral indices, to determine other indicators. The quality and detail of the ground-based observations ensure the correctness of graphical sampling and the reliability of the results obtained. The model polygon for processing methods of decoding satellite images of Landsat and Sentinel by GIS was selected within the exclusion zone of the Chornobyl NPP. This choice is due to the availability of its own results of a long series of observations, a large array of data on landscapes of the exclusion zone and the relevance of studying the contemporary changes of landscapes in the area.

The obtained methodical results and formed graphic samples can be correctly used in the semi-automatic deciphering of the landscapes of the Ukrainian Polissia and other natural zones of Ukraine.

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