SPA454 Algorithms in GIS and Remote Sensing (8)

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.

No offerings have been identified for this subject in 2021.

Where differences exist between the Handbook and the SAL, the SAL should be taken as containing the correct subject offering details.

Subject Information

Grading System



One session


School of Environmental Sciences

Enrolment Restrictions

Postgraduate study only

Assumed Knowledge

GIS knowledge equivalent to SPA431 and remote sensing knowledge equivalent to SPA441

Incompatible Subjects

SPA403, SPA404, SPA503, SPA504

Learning Outcomes

Upon successful completion of this subject, students should:
  • be able to implement mathematical concepts required for the development of GIS-related algorithms
  • be able to construct and implement GIS algorithms for common spatial processing tasks
  • be able to implement mathematical concepts required for the development of remote sensing-related algorithms
  • be able to construct and implement remote sensing algorithms for common image processing tasks


This subject will cover the following topics:
  • Concepts of space as applied to GIS and remote sensing
  • Matrix operations
  • Vectors in Euclidean space
  • Geometric algorithms used in GIS and remote sensing
  • Radiometric and geometric image enhancement techniques
  • Line simplification, smoothing and interpolation
  • Remote sensing classification techniques

Indicative Assessment

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).

Item Number
Value %
Matrix basics
Matrices, vectors and geometric algorithms
Line simplification, smoothing and interpolation
Remote sensing algorithms

Special Resources

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: May 2021. The University reserves the right to vary the information at any time without notice.