Geo-spatial analysis of urbanization and environmental changes with deep neural networks: Insights from a three-decade study in Kerch peninsula
Journal: Ecological Informatics
Year: 2024

This study presents a comprehensive analysis of land use and land cover (LULC) changes on the Kerch Peninsula over the last thirty years, utilizing advanced satellite data and spatial modeling techniques. The research used Landsat 5, 7 and 8 satellite images to capture the intricate dynamics of LULC changes from 1990 to 2020. A quantitative approach was adopted, involving the use of convolutional neural networks (CNN) for enhanced classification accuracy. This methodology allowed for a detailed