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This is an advanced remote sensing course on sophisticated methods and techniques for collecting, processing and analyzing remotely sensed data; as well as applications of remote sensing in urban planning, environmental monitoring and natural resource management. Throughout the course, emphasis will be placed on image processing, image analysis, image classification, remote sensing and GIS data integration, and applications of remote sensing for monitoring global environmental changes to support sustainable development.
The course is composed of lectures, laboratory exercises and student presentations.
The intended learning outcomes
Students will gain theoretical knowledge and practical skills on digital image processing, analysis, and applying these techniques for mapping land cover/landuse and monitoring their changing patterns.
Course Main Content
During laboratory sessions, you will have the opportunity to improve your skills on digital image processing and analysis, as well as to conduct a remote sensing project. All meetings of the lab groups are held weekly using PCI Geomatica image processing and analysis software. Students who work in a group (Max. two students) should submit one group report for each lab/project.
Lab grading: Pass or redo (3 ECTS)
Project grading: Pass or redo (1.5 ECTS)