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STIA 4233

Remote Sensing Digital Img

3 Credits · Level: Graduate, Undergraduate

This course presents an overview of satellite remote sensing, including remote sensing data types, digital image analysis, sensor design, and the wide variety of applications in this active and expanding field. The course will focus on optical imagery but include material on lidar, radar, and fluorescence imaging. The course will devote time to the foundational electromagnetic principles underlying remote sensing, as well as the design and calibration of remote sensing instrument systems. Students will gain experience in selecting and synthesizing data from available satellite platforms in order to perform rigorous geospatial analysis of natural and anthropogenic surface processes. Digital image analysis techniques covered will include creating true and false color composites, calculating vegetation indices and similar data transformations, and performing classification and change detection analyses.

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