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Land Cover Characterization Using Multi-Spectral Remotely Sensed Data Sets

College of Behavioral & Social SciencesGeographical Sciences
CreditsN/A
·
Semester offeredN/A

Description

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. Prerequisite:

Course outline
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GEOG 417 has possible credit equivalents including GEOG308 at McGill University.

CourseUniversityQwest Score
GEOG308
Remote Sensing for Earth Observation
McGill University69