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This book explores the integration of Artificial Intelligence (Geo-AI) with Earth observation, demonstrating how Machine Learning and Deep Learning transform satellite imagery and geospatial data into actionable environmental insights. It covers theoretical foundations, data preprocessing, spatial modeling, and validation, and presents a case study in the Fes-Meknes region, highlighting applications in land-use and land-cover change mapping and ecological risk assessment. The work positions Geo-AI as a key tool for sustainable land management amid climate change and human pressures.