Courses & Units
Environmental Remote Sensing A KGG542
Introduction
This unit introduces you to theoretical and practical foundations of remote sensing. The unit starts with the physics of remote sensing including the concepts of electromagnetic energy and the interaction of energy with the atmosphere and the earth surface. We will cover the technical and practical characteristics of a range of satellite and airborne sensors. You will work with satellite images and image analysis tools in weekly computer practicals. Throughout the unit you will explore remote sensing research topics in the scientific literature that will prepare you for a research thesis. This unit is offered at the graduate level.
Summary
| Unit name | Environmental Remote Sensing A |
|---|---|
| Unit code | KGG542 |
| Credit points | 12.5 |
| College/School | College of Sciences and Engineering School of Geography, Planning, and Spatial Sciences |
| Discipline | Geography, Planning, and Spatial Sciences |
| Coordinator | Doctor Bethany Cox |
| Teaching staff | Professor Arko Lucieer |
| Delivered By | |
| Level | Postgraduate |
Availability
| Location | Study period | Attendance options | Available to | ||
|---|---|---|---|---|---|
| Hobart | Semester 2 | On-Campus | International | Domestic | |
Key
- On-campus
- Off-Campus
- International students
- Domestic students
Note
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Units are offered in attending mode unless otherwise indicated (that is attendance is required at the campus identified). A unit identified as offered by distance, that is there is no requirement for attendance, is identified with a nominal enrolment campus. A unit offered to both attending students and by distance from the same campus is identified as having both modes of study.
Key Dates
| Study Period | Start date | Census date | WW date | End date |
|---|---|---|---|---|
| Semester 2 | 10/7/2023 | 8/8/2023 | 28/8/2023 | 15/10/2023 |
* The Final WW Date is the final date from which you can withdraw from the unit without academic penalty, however you will still incur a financial liability (refer to How do I withdraw from a unit? for more information).
Unit census dates currently displaying for 2023 are indicative and subject to change. Finalised census dates for 2023 will be available from the 1st October 2022. Note census date cutoff is 11.59pm AEST (AEDT during October to March).
Learning Outcomes
- Explain the theory and application of electromagnetic energy, sensor systems, and image processing in the context of Earth observation.
- Apply remote sensing datasets, concepts and techniques to solve real-world spatial problems.
- Apply image analysis software to display, query, process, and manipulate remote sensing imagery, and extract relevant information.
- Communicate perspectives and knowledge in remote sensing and spatial sciences to specialist and non-specialist audiences using written, oral, cartographic, and other visual means.
- Critically analyse remote sensing datasets and analyses to provide professional solutions to diverse spatial problems.
| Field of Education | Commencing Student Contribution 1,3 | Grandfathered Student Contribution 1,3 | Approved Pathway Course Student Contribution 2,3 | Domestic Full Fee 4 |
|---|---|---|---|---|
| 031103 | $1,037.00 | $1,037.00 | not applicable | $2,938.00 |
1 Please refer to more information on student contribution amounts.
2 Please refer to more information on eligibility and Approved Pathway courses.
3 Please refer to more information on eligibility for HECS-HELP.
4 Please refer to more information on eligibility for FEE-HELP.
If you have any questions in relation to the fees, please contact UConnect or more information is available on StudyAssist.
Please note: international students should refer to What is an indicative Fee? to get an indicative course cost.
Teaching
| Teaching Pattern | 2 x 1-hour lectures and 1 x 3 hour computer-based practical per week |
|---|---|
| Assessment | Assignment 1 (20%)|Assignment 2 (40%)|Data analysis (40%) |
| Timetable | View the lecture timetable | View the full unit timetable |
Textbooks
| Required |
Required readings will be listed in the unit outline prior to the start of classes. |
|---|---|
| Recommended | Jensen, J.R., 2014. Remote Sensing of the Environment: An Earth Resource Perspective, 2nd edition. Prentice Hall. https://www.booktopia.com.au/remote-sensing-of-the-environment-john-r-jensen/book/9781292021706.html | Links | Booktopia textbook finder |
The University reserves the right to amend or remove courses and unit availabilities, as appropriate.