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This Special Issue aims to explore the potential of machine learning and deep learning in the realm of forest mapping and vegetation analysis. It invites research that uses these techniques to analyze, categorize, and monitor forest vegetation and its various features across different scales. It aspires to bring together an interdisciplinary amalgamation of research, highlighting the transformative power of machines and deep learning in the domain of forest mapping and vegetation analysis.