Available in 2022
Course code



10 units


6000 level

Course handbook


The application of remote sensing information is rapidly evolving and expanding to help solve some of the earth's biggest environmental problems. Examples include climate change studies, natural hazard management, land cover change analysis, oceanography, biodiversity studies, urban development and environmental management. Concepts covered in this course include satellite data acquisition, image correction and processing and data analysis and modelling. Students will obtain practical experience in working with remote sensing data and software during face to face workshops that are designed around a set of real world problems. By the end of this course students will be able to develop a project workflow, source remotely sensed data and carry out computer based analysis to interpret and solve environmental problems.



  • Semester 2 - 2022

Learning outcomes

On successful completion of the course students will be able to:

1. Explain advanced digital image processing techniques.

2. Source and process remote sensing data.

3. Devise a workflow diagram.

4. Use image processing software to solve spatial problems.

5. Interpret output from remote sensing analysis.


  • Satellite data acquisition
  • Image correction and processing
  • Accuracy assessment
  • Change detection
  • Developing a project workflow
  • Application in the earth, environmental and life sciences


Students must have successfully completed GEOS2161 or GEOS6161 or GEOS6250 or equivalent in order to enrol in this course.

Assessment items

Quiz: Quizzes

Written Assignment: Remote sensing workflow diagram

Tutorial / Laboratory Exercises: Tasks associated with computer labs

Report: Remote sensing project report

Compulsory Requirements

In order to pass this course, each student must complete ALL of the following compulsory requirements:

General Course Requirements:

  • Computer Lab: There is a compulsory attendance requirement in this course. - Students must attend a minimum of 80% of computer labs.

Contact hours


Computer Lab

Online 2 hour(s) per Week for 10 Weeks


Online 2 hour(s) per Week for 10 Weeks

The University of Newcastle acknowledges the traditional custodians of the lands within our footprint areas: Awabakal, Darkinjung, Biripai, Worimi, Wonnarua, and Eora Nations. We also pay respect to the wisdom of our Elders past and present.