A practical introduction to Explainable GeoAI, demonstrating how machine learning and deep learning models can be made transparent and trustworthy for environmental applications such as forest monitoring and flood mapping. Through real-world case studies, the book explores techniques such as SHAP and Grad-CAM to improve the interpretability of GeoAI models.