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This course explores techniques for detecting and analyzing changes in the Earth’s surface using multi-temporal remote sensing data. Students learn image preprocessing, temporal analysis, and key change detection methods such as image differencing, post-classification comparison, and machine learning approaches. Practical exercises with GIS and remote sensing software enable hands-on experience in monitoring land use, urban growth, deforestation, and environmental changes. By the end, participants can design change detection workflows, interpret results, and apply findings for research, planning, and environmental management.