Remote Sensing: From Data to Information
UndergraduateTAS-KGG2132027
Course information for 2027 intake
Remote sensing data can become useful information. Practise image correction, classification, change detection and accuracy checks. Work with real-world datasets and current image-processing tools.
- Study method
- 100% online
- Assessments
- 100% online
- Enrol by
- 14 Feb 2027
- Entry requirements
- Prior study needed
- Duration
- 12 weeks
- Start dates
- 22 Feb 2027
- Price from
- $3,571
- Upfront cost
- $0
- Loan available
- HECS-HELP and FEE-HELP available
Remote Sensing: From Data to Information
About this subject
On successful completion of this subject, students will be able to:
- Explain image analysis techniques to inform the interpretation and enhancement of remote sensing datasets.
- Apply analysis techniques on remote sensing datasets to solve environmental and social problems that require spatial solutions.
- Operate remote sensing software to produce enhanced spatial information from basic datasets.
- Vegetation Indices
- Airborne Laser Scanning/Lidar
- Image Transforms
- Image Filters & Texture
- GEOBIA
- EO Data Cubes Part 1
- EO Data Cubes Part 2 & Orthorectification
- SAR & Project Introduction
- Plant Traits & GenAI for Remote Sensing
- TERN & Drone Remote Sensing
- Biodiversity Assessment & New Satellite Missions
- Machine Learning
This subject builds on the theory and skills of KGG103 Remote Sensing: observing the Earth from above, and focuses on advanced aspects of remotely sensed image analysis that turn raw remote sensing data into valuable information. These additional remote sensing analysis skills are highly valued by employers in the geospatial industry. The subject will provide you with practical skills in image analysis techniques, such as geometric and atmospheric image correction, image filters, texture measures, image enhancements and transformations, classification algorithms, object-based image analysis, change detection, and accuracy assessment. The theory is illustrated with a range of real-world applications using optical, multispectral, hyperspectral, and LiDAR data. Computer practicals and an independent project (in pairs) promote practical remote sensing skills using the latest image processing tools. The subject is likely to be of interest to students in geography, environmental studies, earth sciences, plant science, zoology, agricultural science, computing and information systems, archaeology, and engineering who want to enhance their remote sensing knowledge and professional skills.
- Project: Poster and Oral Presentation (teams of 2) (40%)
- Practicals 1 - 4 (30%)
- Practicals 5 - 7 (30%)
For textbook details check your university's handbook, website or learning management system (LMS).
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Entry requirements
Prior study
You must either have successfully completed the following subject(s) before starting this subject, or currently be enrolled in the following subject(s) in a prior study period; or enrol in the following subject(s) to study prior to this subject:
Please note that your enrolment in this subject is conditional on successful completion of these prerequisite subject(s). If you study the prerequisite subject(s) in the study period immediately prior to studying this subject, your result for the prerequisite subject(s) will not be finalised prior to the close of enrolment. In this situation, should you not complete your prerequisite subject(s) successfully you should not continue with your enrolment in this subject. If you are currently enrolled in the prerequisite subject(s) and believe you may not complete these all successfully, it is your responsibility to reschedule your study of this subject to give you time to re-attempt the prerequisite subject(s).
Additional requirements
- Other requirements - Teaching arrangement: 12 x 1-hr seminars, 12 x 1-hr prerecorded lectures, 12 x 3-hr practicals, and 3-hr+ independent learning per semester, delivered weekly. Seminars and practical introductions will be simultaneously offered on campus and via Zoom, recorded and made available on MyLO.
Study load
- 0.125 EFTSL
- This is in the range of 10 to 12 hours of study each week.
Equivalent full time study load (EFTSL) is one way to calculate your study load. One (1.0) EFTSL is equivalent to a full-time study load for one year.
Find out more information on Commonwealth Loans to understand what this means to your eligibility for financial support.
What to study next?
Once you’ve completed this subject it can be credited towards one of the following courses
Bachelor of Science (Sustainability)
UndergraduateTAS-SUS-DEG
Bachelor of Science (Geography and Environment)
UndergraduateTAS-SCG-DEG
Bachelor of Business and Bachelor of Science
UndergraduateTAS-BBS-DEG
Bachelor of Psychological Science and Bachelor of Science
UndergraduateTAS-PSC-DEG
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