Remote Sensing I: Remote Sensing of the Environment

Description

The physical principles and practices of collecting, analyzing and interpreting various remote sensing data from the visible, infrared, and microwave regions of the electromagnetic spectrum are examined. In addition, the display, enhancement and interpretation of various digital remote sensing data, from airborne to satellite scales, is emphasized. Enrolment is limited. Learning Hours: 120 (36 Lecture, 36 Laboratory, 48 Private Study) Requirements: Prerequisite (Level 2 or above) or permission of the Department. Course Learning Outcomes: - Explain key concepts of remote sensing and apply governing laws of electromagnetic radiation as they relate to imaging systems. - Apply standard image processing techniques to view, analyze, and interpret remote sensing data across a range of spatial and temporal scales. - Describe and demonstrate how remote sensing derivatives can be used to map or model a range of environmental processes and urban phenomena. - Recognize the limitations of remotely sensed data in environmental and urban applications, and issues surrounding data access, surveillance, and privacy. Assessment/Exam Context: Course assessment and examinations vary by course; Queen's notes that eligible exchange students whose first language is not English may receive extra final-exam time. Exchange Registration Note: Arts and Science courses are open to exchange students subject to prerequisites and space. Most courses should be in Arts and Science; other faculties may be limited. Education, Medicine, and Nursing are not open to incoming exchange enrolment.