Students are responsible for all associated travel and resources (if applicable).
Programming software (R) and spatial information software (ArcGIS) is used in this subject. R can be downloaded for free, ArcGIS is supplied.
In this subject students learn the advanced mathematical knowledge and skills required to analyse and develop mathematical algorithms for GIS and Remote Sensing. This includes developing a good understanding of mathematical concepts required for the development of GIS-related algorithms, developing skills in solving linear algebra problems, having an ability to analyse, modify and design various GIS algorithms.Students also learn important mathematical concepts and algorithms commonly used in processing of multispectral remote sensed imagery. This includes understanding the sources and characteristics of remote sensed data and the geometric and radiometric corrections to remote sensed imagery. Students who complete this subject will have advanced knowledge and skills in constructing and implementing spatial algorithms.
HD/FL
One session
School of Agricultural, Environmental and Veterinary Sciences
No enrolment restrictions
GIS knowledge equivalent to SPA431 or SPA215 and remote sensing knowledge equivalent to SPA441 or SPA217.
SPA403, SPA404, SPA503, SPA504
The following table summarises the assessment tasks for the online offering of SPA454 in Session 1 2020. 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).
Programming software (R) and spatial information software (ArcGIS) is used in this subject. R can be downloaded for free, ArcGIS is supplied.
The information contained in the CSU Handbook was accurate at the date of publication: June 2022. The University reserves the right to vary the information at any time without notice.