Land cover classification using machine-learning techniques applied to fused multi-modal satellite imagery and time series data
Land cover classification is one of the most studied topics in the field of remote sensing, involving the use of data from satellite sensors to analyze and categorize different land surface types. There are numerous satellite products available, each offering different spatial, spectral, and temporal resolutions. Consequently, several methodologies have been developed to efficiently determine land