GEOG471

Technologies for Computational Earth Observations

Prerequisite: GEOG371. Introduction and exploration of remote sensing datasets that are not emphasized in existing GEOG computational classes. Emphasis on the strengths and limitations of each technology for various applications in science and resource management (e.g. forestry, agriculture, cryosphere). Fusion techniques, product calibration and validation, and common processing pitfalls will be presented. Hands-on computer labs will allow students to explore each dataset and work toward a unique student-driven project using one or several data sources.

Past Semesters

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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 3.16 between 16 students*

GEOG471 Grade Distribution+-05101520253035404550% of studentsABCDFWother
A-: 6.25%
A: 18.75%
A+: 25%
B-: 12.5%
B: 6.25%
B+: 6.25%
C-: 6.25%
C+: 6.25%
W: 6.25%
other: 6.25%
* "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.