GISC 6350K - Remote Sensing of Environment

This is a graduate level course addressing remote sensing of the environment. Topics include the physical principles on which remote sensing is based, history of remote sensing, sensors and their characteristics, supervised and unsupervised classification techniques, image and point cloud interpretation, and accuracy assessment. Multispectral, hyperspectral, and LiDAR data will be used to examine vegetation, water, geology, and urban applications. Students will develop an advanced knowledge of current research through literature review and discussion-based seminar. In addition, students will generate a research proposal, scientific manuscript, and professional presentation using remote sensing concepts and techniques.

Prerequisite/Corequisite:
Prerequisite: Permission of Department

Hours:
3