Principles and methods of remote sensing; visual interpretation of air photos and satellite imagery; digital image processing, analysis and classification for thematic mapping; introduction to various active and passive remote sensing imagery types such as optical, hyperspectral, RADAR and LiDAR. Includes: Experiential Learning Activity Prerequisite(s): GEOM 2008 and third-year standing, or permission of the Department. Lectures two hours a week, laboratory two hours a week. [0.5 credits]
Principles and methods of remote sensing; visual interpretation of air photos and satellite imagery; digital image processing, analysis and classification for thematic mapping; introduction to various active and passive remote sensing imagery types such as optical, hyperspectral, RADAR and LiDAR. Includes: Experiential Learning Activity Prerequisite(s): GEOM 2008 and third-year standing, or permission of the Department. Lectures two hours a week, laboratory two hours a week. [0.5 credits]
