Environmental Remote Sensing

This graduate course examines the acquisition and analysis of remotely sensed data as a rapid and efficient approach to environmental research and resource management. Students will explore advanced techniques for collecting and analyzing data from satellite and airborne platforms, including unmanned aerial systems (UAS). Topics include digital image processing methods such as rectification, restoration, enhancement, classification and data merging. The course combines theoretical lectures with extensive hands-on laboratory sessions, providing practical experience with remote sensing software and real-world applications. Offered spring semester.