GEOG417

Land Cover Characterization Using Multi-Spectral Remotely Sensed Data Sets

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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.

Fall 2025

Xiaopeng Song

0 reviews
Average rating: N/A

Past Semesters

Xiaopeng Song

0 reviews
Average rating: N/A

Matthew Hansen

0 reviews
Average rating: N/A

During the Spring 2020 and Spring 2021 semesters, students could choose to take some of their courses pass-fail mid-semester which skews grade data aggregated across multiple semesters.

Average GPA of 3.67 between 55 students*

GEOG417 Grade Distribution+-0510152025303540455055606570758085% of studentsABCDFWother
A-: 32.73%
A: 32.73%
A+: 14.55%
B-: 3.64%
B: 5.45%
B+: 7.27%
F: 1.82%
other: 1.82%
* "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.