GEOG 347 - Satellite Image Analysis

Image analysis is a method used in geography to analyze remotely sensed data, including both satellite images and data collected from aircraft, in order to obtain information about earth’s surface phenomena from afar. The primary objective is to better understand, measure, and monitor features and human activities on Earth. Most typically, image analysis involves generating landcover maps using multi-spectral data collected by satellites. This course begins by focusing on the physical principles upon which image analysis is based, including the principles of acquiring and interpreting electromagnetic data collected by non-photographic sensors. Students then explore the basic tools of digital image processing (e.g., image enhancement, contract manipulation, etc.). This leads to a consideration of the process of image classification. Lastly, students discuss accuracy assessment as it applies to landcover classification, and spend a significant amount of time in the geography department computer lab performing analysis on remote sensing data.

Credits: 0.50
Corequisite: None
Prerequisites:

GEOG 245

Major/Minor Restrictions: None
Class Restriction: None
Area of Inquiry: None
Liberal Arts Practices: Quantitative and Algorithmic Reasoning
Core Component: None

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