SPA442 Remote Sensing 2: Image Processing and Analysis (8)

This subject develops knowledge and practical skills regarding the appropriate use of remote sensing image processing and analysis techniques. Topics include radiometric and geometric correction, vegetation analysis, image transformations, principle components analysis, unsupervised and supervised image classification techniques and image classification accuracy assessment. Image processing software is utilised to develop intermediate level practical skills in remote sensing image analysis; a basic working knowledge of remote sensing image analysis software is assumed.

Availability

Session 2 (60)
Online
Albury-Wodonga Campus

Continuing students should consult the SAL for current offering details: SPA442. 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 Environmental Sciences

Assumed Knowledge

SPA217 OR SPA417 OR SPA441

Incompatible Subjects

SPA405

Learning Outcomes

Upon successful completion of this subject, students should:
  • be able to apply and compare methods for geometric and radiometric correction of remote sensing data
  • be able to apply and compare remote sensing vegetation analysis methods
  • be able to apply and compare techniques for remote sensing image classification
  • be able to apply and describe methods for accuracy assessment and error analysis in remote sensing image classification outputs
  • be able to evaluate remote sensing image analysis techniques using published literature

Syllabus

This subject will cover the following topics:
  • Radiometric and geometric correction of remote sensing imagery
  • Remote sensing vegetation analysis
  • Methods for remote sensing image transformations: raster math and band ratios
  • Principle components analysis of remote sensing imagery
  • Methods for remote sensing image classification: supervised and unsupervised techniques
  • Accuracy assessment and error analysis of remote sensing image classification results

Indicative Assessment

The following table summarises the assessment tasks for the online offering of SPA442 in Session 2 2019. 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
Assignment 1: vegetation ratios
30
2
Assignment 2: image classification
30
3
Final exam
40

Special Resources

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: August 2020. The University reserves the right to vary the information at any time without notice.

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