EAE5067 Remote sensing
Faculty of Science
EAE5067 Remote sensing is a level 5, 6-credit-point, postgraduate unit from the Faculty of Science, offered in 2026 in Semester 1 at Clayton. It has no prerequisites.
- Credit points
- 6
- Offered in 2026
- Semester 1
- Clayton
- Assessment
- No exam
- 2 tasks
This is the 2026 handbook entry. See the 2027 entry.
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Requisites
Before EAE5067
No prerequisites or corequisites besides the enrolment rules below.
After EAE5067
No unit lists EAE5067 as a prerequisite in the 2026 handbook.
Equivalent units
The same content under another code. Only one of them counts.
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.
Offerings in 2026
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Clayton | On campus |
Assessment
- PracticalsDemonstration50%
- Theory quizzesQuiz / Test50%
Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.
Learning outcomes
When you finish this unit, you should be able to:
- 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 and teaching
- Practical activities24 hours
- Workshops12 hours
- Teaching approachActive learning
12 hours per week consisting of:
- One 1-hour workshop;
- One 2-hour practical and
- Nine hours of independent study per week
Contacts
- Chief Examiners
- Dr Xuan Zhu
- Unit Coordinators
- Dr Xuan Zhu
Common questions
What are the prerequisites for EAE5067?
EAE5067 has no prerequisites, but enrolment rules apply.
When is EAE5067 offered?
In 2026, EAE5067 runs in Semester 1 at Clayton.
Does EAE5067 have an exam?
No. EAE5067 has 2 assessment tasks and no exam.