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.
|Unit name||Environmental Remote Sensing B|
|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
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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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|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 2020 are indicative and subject to change. Finalised census dates for 2020 will be available from the 1st October 2020.
|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.
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, Research investigation (10%), 2-hr exam (30%)
|Timetable||View the lecture timetable | View the full unit timetable|
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