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.

Prerequisite: GEOG371 or permission of instructor. Cross-listed with GEOG688T. Credit only granted for GEOG471 or GEOG688T.
Credits: 3
Grading Method: Regular, Pass-Fail, Audit