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.

Availability

Session 2 (60)
Online
Albury-Wodonga Campus

Continuing students should consult the SAL for current offering details: SPA454. 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

HD/FL

Duration

One session

School

School of Agricultural, Environmental and Veterinary Sciences

Enrolment Restrictions

No enrolment restrictions

Assumed Knowledge

GIS knowledge equivalent to SPA431 or SPA215 and remote sensing knowledge equivalent to SPA441 or SPA217. 

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; and
  • be able to construct and implement remote sensing algorithms for common image processing tasks.

Syllabus

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; and
  • 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
Title
Value %
1
Matrix basics
10
2
Matrices, vectors and geometric algorithms
30
3
Line simplification, smoothing and interpolation
25
4
Remote sensing algorithms
35

Special Resources

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.

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