GEOG417: Land Cover Characterization Using Multi-spectral, Multi-Temporal Remotely Sensed Data Sets

The course will be a lab practical. Students will be introduced to the image processing steps required for characterizing land cover extent and change. Key components of land cover characterization, including image interpretation, algorithm implementation, feature space selection, thematic output definition, and scripting will be discussed and implemented.
Prerequisites/Rules:
GEOG372, and GEOG472, and GEOG306, or permission by the Department of Geographical Sciences.
Credits: 3
Grading Method: Regular Regular grading
Course Offering
    Spring 2015 Instructor: Matthew C. Hansen Co-Instructor: Peter V. Potapov View Syllabus
    Spring 2014 Instructor: Matthew C. Hansen Co-Instructor: Peter V. Potapov