Land Cover Characterization Using Multi-Spectral Remotely Sensed Data Sets

3 Credits

Students will be introduced to the image processing steps required for characterizing land cover extent and change. Key components of land cover characterization, including image interpretation, algorithm implementation, feature space selection, thematic output definition, and scripting will be discussed and implemented.