Courses & Units
Environmental Remote Sensing B KGG543
Hobart
Introduction
This unit will provide you with high-level theoretical knowledge and practical skills in image analysis techniques, such as geometric image correction, image filters, texture measures, vegetation indices, LiDAR point cloud filtering, classification algorithms, object-based image analysis, change detection, and accuracy assessment. The theory is illustrated with a range of real-world applications using optical, hyperspectral, and RADAR imagery, and LiDAR data. Computer practicals and an independent project promote practical remote sensing skills using the latest image processing software. 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 B |
|---|---|
| Unit code | KGG543 |
| Credit points | 12.5 |
| Faculty/School | College of Sciences and Engineering School of Technology, Environments and Design |
| Discipline | Geography and Spatial Sciences |
| Teaching staff | |
| Level | Postgraduate |
| Available as student elective? | Yes |
| Breadth Unit? | No |
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.
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TNE Program units special approval requirements.
Key Dates
| Study Period | Start date | Census date | WW date | End date |
|---|---|---|---|---|
| Semester 2 | 13/7/2020 | 10/8/2020 | 31/8/2020 | 18/10/2020 |
* 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 (see withdrawal dates explained for more information).
Unit census dates currently displaying for 2020 are indicative and subject to change. Finalised census dates for 2020 will be available from the 1st October 2019.
Fees
Domestic
| Band | CSP Student Contribution | Full Fee Paying (domestic) | Field of Education |
|---|---|---|---|
| 2 | 2020: $1,190.00 | 2020: $2,798.00 | 031103 |
Fees for next year will be published in October. The fees above only apply for the year shown.
Please note: international students should refer to this page to get an indicative course cost.
Requisites
Prerequisites
Mutual Exclusions
You cannot enrol in this unit as well as the following:
KGG213
Teaching
| Teaching Pattern | 2 x 1-hr lectures weekly, 13 x 3-hr lab classes |
|---|---|
| Assessment | Assignment 1 (20%): practical remote sensing exercises linked to 5 computer practicals, Project (40%): selection of predefined remote sensing project topics assessed by a ~2000 word project report or equivalent task (e.g. poster), and 15 min. Presentation, Research investigation (10%), 2-hr exam (30%) |
| Timetable | View the lecture timetable | View the full unit timetable |
Textbooks
| Required | None |
|---|
Booktopia textbook links
The University reserves the right to amend or remove courses and unit availabilities, as appropriate.