Viktor Chaban
Kherson State Maritime Academy, Department of Health and Safety, Professional and Applied Physical Training, 73000 Kherson, UkrainePublications
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Research Article
Agroecological zoning of Ukraine using remote sensing and unsupervised clustering
Author(s): Pavlo Lykhovyd*, Oleksandr Averchev, Viktor Chaban, Mariia Nikitenko, Serhii Haievskyi, Iryna Bidnyna, Valerii Kozyriev, Gennadiy Karashchuk and Oleksandr Uhrin
Current climate change, primarily driven by global warming, is significantly altering the suitability of agricultural lands for crop production. Given these dramatic climatic shifts in meteorological events and the advances in remote sensing and data science, providing an unbiased and scientifically sound agroecological zoning of Ukraine is a critical task for agricultural science. As a major food producer for Europe, developing an optimal agrarian policy in Ukraine is essential. This study used remote sensing vegetation indices, including NDVI, NDMI, and NRI, as primary features for clustering, as these indicators reflect vegetation vigor, water stress levels, and nitrogen availability. Index values were derived from the Ukrainian Crop Production Map web application for the period of 2005-2023. We implemented the K-means clustering algorithm to group agricultural lands into distinct .. Read More»