GEOG371

Programming for Image Analysis

Prerequisite: GEOG276, GEOG306, and GEOG272. Introduces application programing interface (API) functions and image processing techniques for efficient processing of satellite images. The main programing language of the course is Python. The course will use a Geospatial Data Abstraction Library (GDAL) which provides a unified way of manipulating images incorporating geospatial information. For image processing, the course will use Python-based libraries such as scikit-image and OpenCV.

Spring 2026

Sergii Skakun

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Fall 2025

John Armston

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Past Semesters

Sergii Skakun

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Xiaopeng Song

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Sergii Skakun

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Sergii Skakun

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Include P/F semesters 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 3.14 between 50 students*

A-: 26%

A: 10%

A+: 28%

B-: 8%

B: 6%

B+: 2%

C-: 2%

C: 2%

C+: 4%

D+: 2%

F: 4%

W: 6%

* "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.