GEOG 6420

Students will gain hands-on experience processing multispectral, thermal, and radar images and LiDAR 3D point clouds using advanced analytical software to study environmental processes and systems. In particular, students will learn about image transformations and techniques used in image classification and change detection applications, including supervised and unsupervised machine learning based methods. Offered in conjunction with GEOG*3420. Extra work is required for graduate students. [Department(s): Department of Geography Environment and Geomatics][Restriction(s): Restricted to MA, MSc and PhD Geography and Master of Data Science students. Credit may be obtained for only one of GEOG*6420 or GEOG*3420.]