Principles of Remote Sensing (U00404)

? Credit Points : 20 ? SCQF Level : 10 ? Acronym : GEO-3-REMSENS

Emphasis is placed on understanding the physical principles behind remote sensing and on gaining practical experience in the utilisation of remotely sensed data and appropriate techniques of image processing.

The course begins with an overview and history of remote sensing. The physical principles underlying the technique are then explored, including electromagnetic radiation and its interaction with earth objects and reflectance characteristics. Methods of measuring reflected radiation, including satellite and sensor systems, are explored. Aspects of image processing are then discussed: computer basics, enhancement, transformations, masking, filtering, pre-processing, classification and geometric correction. Applications of remote sensing are then explored in relation to land use, vegetation and water. Separate lectures also cover aspects of thermal and microwave remote sensing techniques. The course concludes with a consideration of remote sensing's future prospects. Material covered in the lectures is backed up with hands-on image processing practical and projectwork, using ERDAS Imagine software.

Entry Requirements

none

Subject Areas

Home subject area

Geography, (School of GeoSciences, Schedule N)

Other subject areas

Environmental Courses, (School of GeoSciences, Schedule N)

Delivery Information

? Normal year taken : 3rd year

? Delivery Period : Not being delivered

? Contact Teaching Time : 2 hour(s) 30 minutes per week for 10 weeks

Summary of Intended Learning Outcomes

At the end of the option the student should:
- be aware of the nature of electromagnetic radiation and its interaction with the earth's surface.
- understand the differences between remote sensing systems and be aware of their characteristics and limitations.
- competently be able to process and interpret remotely sensed images.
- identify specific applications where remote processing may be used as a tool for monitoring and research.