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GIS3406 Remote Sensing and Image Processing

Semester 2, 2022 Toowoomba On-campus
Units : 1
Faculty or Section : Faculty of Health, Engineering and Sciences
School or Department : School of Surveying & Built Environment
Grading basis : Graded
Course fee schedule : /current-students/administration/fees/fee-schedules

Staffing

Examiner:

Overview

Remote sensing is an important technology for land resource mapping, monitoring and modelling. Remotely sensed images provide an invaluable source of current and archival information about the geographical distribution of natural and cultural features. The use of digital images in various applications is aiding planners and decision-makers at various project stages and operational scales. It is essential and advantageous for GIS, surveying, and other professionals to be familiar with the concepts, techniques, and applications, involved in the digital processing of remotely sensed images.

This course is designed to provide students with the basic and intermediate knowledge and skills in the digital processing of remotely sensed images. Topics include: basic principles of remote sensing; image processing systems; pre-processing of remotely-sensed data; image enhancement techniques; image transformation and filtering techniques; unsupervised classification; supervised classification; post classification and accuracy assessment including field investigations; integration with GIS; and applications and case studies. Various imagery products will be studied, such as panchromatic, multispectral and hyperspectral data. Image processing software will be used to demonstrate and reinforce the concepts and principles involved.

Course learning outcomes

The course objectives define the student learning outcomes for a course. On completion of this course, students should be able to:

  1. evaluate the importance and role of remote sensing and digital image processing in land resource mapping, monitoring and modelling;
  2. demonstrate knowledge of the concepts and techniques involved in digital image processing of remotely sensed data;
  3. choose and apply appropriate image processing technique(s) for a specific requirement;
  4. evaluate the accuracy of image classification output;
  5. compare with the traditional and recent applications of image processing techniques;
  6. use image processing software to analyse temporal, spectral and spatial differences.

Topics

Description Weighting(%)
1. Basic principles of remote sensing 10.00
2. Remote sensing platforms and sensors 10.00
3. Image processing systems 8.00
4. Pre-processing of remotely sensed data 12.00
5. Image enhancement, transformation and filtering techniques 18.00
6. Image classification 20.00
7. Integration with GIS 10.00
8. Applications and advanced topics 12.00

Text and materials required to be purchased or accessed

Campbell, JB & Wynne, RH 2011, Introduction to remote sensing, 5th edn, Guilford Press, New York.

Student workload expectations

To do well in this subject, students are expected to commit approximately 10 hours per week including class contact hours, independent study, and all assessment tasks. If you are undertaking additional activities, which may include placements and residential schools, the weekly workload hours may vary.

Assessment details

Approach Type Description Group
Assessment
Weighting (%) Course learning outcomes
Assignments Written Problem Solving 1 No 20 1,2,3,4
Assignments Written Problem Solving 2 No 30 3,4,6
Examinations Non-invigilated Take home examination No 50 1,2,3,4,5,6
Date printed 10 February 2023