Photogrammetry and 3D Mapping

The course covers how high- and medium-resolution multispectral imagery and 3D point clouds are captured, using airborne sensors such as UAVs and techniques such as laser scanning, and how the resulting geospatial data feeds into fields such as urban planning, natural resource management, agricultural monitoring, disaster response, environmental analysis and infrastructure monitoring. Teaching runs across two sequential three-week modules: the first looks at sensors used for Earth observation and at how airborne images are digitally oriented, and the second covers 3D data extraction and processing. By the end, students use automated and semi-automated workflows to produce accurate 3D topographic data and apply 3D mapping methods to real-world projects.