Students are responsible for all associated travel and resources (if applicable).
NOTE: Image processing software (ENVI) is used in this subject; software is supplied.
In this subject students will develop knowledge and practical skills regarding the appropriate use of remote sensing image processing techniques to produce valuable spatial information. Topics include hyperspectral imagery, change detection methods, and remote sensing image processing techniques utilising artificial intelligence. Open source remote sensing data are also considered and evaluated. Image processing software is utilised to develop advanced level practical skills in remote sensing image analysis; a working knowledge of remote sensing image analysis software is assumed. Students who complete this subject will have advanced, specialised knowledge and skills in remote sensing.
HD/FL
One session
School of Agricultural, Environmental and Veterinary Sciences
No enrolment restrictions.
Knowledge of remote sensing principles and a working knowledge of remote sensing image analysis software, equivalent to completion of SPA441 (or SPA217) and SPA442, are assumed.
The following table summarises the assessment tasks for the online offering of SPA443 in Session 1 2021. Please note this is a guide only. Assessment tasks are regularly updated and can also differ to suit the mode of study (online or on campus).
Students are responsible for all associated travel and resources (if applicable).
NOTE: Image processing software (ENVI) is used in this subject; software is supplied.
The information contained in the CSU Handbook was accurate at the date of publication: May 2022. The University reserves the right to vary the information at any time without notice.