EAE5067 · Remote sensing

Overview

Remote sensing has become one of the important and widely applied methods for environmental and earth resource monitoring and evaluation. The information extracted from remotely sensed images may be used in many ways, e.g. as a basis for mapping land use/cover, for understanding environmental processes and for estimating biophysical variables. This unit will introduce the basic concepts and principles of remote sensing, and prepare you with image interpretation and digital image processing skills with an emphasis on the use of remote sensing imagery for vegetation, atmosphere, geology, water, soils and landform analysis.

Areas of study: Master of Science

Offerings

Assessment

The Handbook does not list a final examination among the assessment items. That is not a guarantee there is none.

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Requisites

The Handbook lists no prerequisite, corequisite or prohibition for this unit.

Learning outcomes

1. To understand the major concepts and principles of remote sensing and digital image processing for earth science applications.
2. To identify the types of information that can be extracted from remotely sensed data on the environment and earth resources.
3. To understand, explain and apply the fundamental image interpretation elements (e.g., tone, texture, size, shape, pattern, site and association)
4. To visually interpret aerial photos and satellite images.
5. To conduct digital image processing and analysis using a digital image processing system to extract information.

Workload

12 hours per week consisting of: • One 1-hour workshop; • One 2-hour practical and • Nine hours of independent study per week

Student experience, not official rules. Nothing here changes what the Handbook says.