Geog 9035: Remote Sensing with LiDAR
This course introduces students to working with LiDAR and derived data products including raw .las files, digital elevation models and digital surface models with a particular emphasis on vegetation classification. This course is designed for users interested in remote sensing that incorporates 3D data, and consists of lecture, examples, and labs. Hands-on lab exercises will focus on the combined use of LiDAR and high resolution satellite imagery for forest canopy classification using object-based image analysis. Topics include creating LAS datasets, vegetation canopy height models, and vegetation classification strategies using object based image analysis. Softwares include eCognition and ArcGIS Desktop.