Advanced Remote Sensing of Natural Resources

3 credits · Graduate

The course provides a discussion of the advanced topics in remote sensing and image analysis for environmental applications. Topics include airborne and satellite remote sensing data acquisition; spatial, spectral, radiometric, and temporal resolutions; image display systems, classification algorithms; accuracy assessment; and integration in a geospatial context.Students will select either a lab assignment or conduct a project using multispectral, Hyperspectral, RADAR, SAR, LiDAR, etc. data, will write a report and make a presentation to the class; If project option is selected, a working knowledge of ERDAS Imagine or another image processing system is required. The Geospatial Innovation Facility (GIF) will be available to all students.