GEOG617
Land Cover Characterization Using Multi-Spectral Remotely Sensed Data Sets
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.
Spring 2024
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4.33
Past Semesters
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2.57
* "W"s are considered to be 0.0 quality points. "Other" grades are not factored into GPA calculation. Grade data not guaranteed to be correct.