title: ПРОСТРАНСТВЕННО-ВРЕМЕННЫЕ ТРЕНДЫ  ВЗАИМОДЕЙСТВИЯ КЛИМАТА И ПОВЕРХНОСТНОГО ПОКРОВА НА КЕРЧЕНСКОМ ПОЛУОСТРОВЕ В 1990–2020 ГГ.
abstract: The objective of this study was to identify spatial and temporal relationships between changes in climatic parameters, such as temperature and precipitation, and land use and land cover dynamics on the Kerch Peninsula for the period 1990–2020. The classification of Landsat multispectral images (TM, ETM+, OLI) utilizing a convolutional neural network resulted in the identification of eight LULC classes. ERA5 climate data were corrected using U-Net neural trained on data from four weather stations
journal: Proceedings of the YSU C Geological and Geographical Sciences