This unit builds on the theory and skills of KGG103 Remote Sensing: Introduction and focuses on advanced aspects of remotely sensed image analysis. These additional remote sensing analysis skills are highly valued by employers in the spatial industry. The unit 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, hyperspectral, and RADAR imagery, and LiDAR data. Computer practicals and an independent project promote practical remote sensing skills in the latest image processing software. The unit 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. This unit forms part of the GIS and Remote Sensing Major and Minor.
|Unit name||Remote Sensing: Image Analysis|
|Faculty/School||College of Sciences and Engineering
School of Technology, Environments and Design
|Discipline||Geography and Spatial Sciences|
|Available as student elective?||Yes|
|Location||Study period||Attendance options||Available to|
- International students
- Domestic students
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.
Special approval is required for enrolment into TNE Program units.
|Study Period||Start date||Census date||WW date||End date|
* 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 2018 are indicative and subject to change. Finalised census dates for 2018 will be available from the 1st October 2017.
|Band||CSP Student Contribution||Full Fee Paying (domestic)||Field of Education|
|2||2018: $1,148.00||2018: $2,613.00||031101|
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.
You cannot enrol in this unit as well as the following:
2 x 1-hr lectures weekly, 13 x 3-hr lab classes
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, 2-hr exam (40%)
|Timetable||View the lecture timetable | View the full unit timetable|
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