The course is an interdisciplinary course that combines the fields of Cartography, Remote Sensing, and Photogrammetry within the context of Geoinformatics when processing, analysing, and visualizing geospatial information. The course aims to introduce students to cutting-edge topics in these sciences and provide specialized knowledge and skills. Upon successful completion, students will learn to design and implement spatial databases for map composition, combine spatial data from multiple sources, use VGI, apply cartographic generalization, understand spatial data quality issues, and apply state-of-the-art visualization techniques. Additionally, they will process LiDAR data, use automation in photogrammetric image processing, understand multi-image photogrammetric processing, and select and enhance remote sensing data. Students will also apply remote sensing data analysis methods, including statistical analysis, machine learning, and object-based image analysis, and integrate remote sensing data with other geospatial data.
- Teacher: Χαράλαμπος Ιωαννίδης
ECTS : 0
Language : el, en