remote sensing digital image processing


Course overview

Explore intermediate- to advanced-level image analysis, data extraction, and map-making using earth observation data. Learn change detection, data fusion, analysis of dense image time stacks, as well as traditional and semi-automated radiometric and geometric correction techniques. Test advanced machine learning and data mining algorithms for environmental applications, including both object-oriented and pixel-based processing. Explore a range of optical, infrared, radar, lidar, and thermal data across multiple spatial resolutions. Includes hands-on labs and a final project based on the student’s interests.

Course resources

Syllabus  |  Lectures  |  Laboratory exercises  |  Readings  |  Introductory materials

Course number: Env St 556

Instructor: Annemarie Schneider
Credit hours: 3
Offered: every other spring

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