Earth Observation: Advanced Image Processing & Modelling (GEOM3001)
Information valid for Semester 2, 2024
Course level
Undergraduate
Faculty
School
School of the Environment
Units
2
Duration
One Semester
Attendance mode
In Person
Class hours
Lecture 2 Hours/ Week
Practical 2 Hours/ Week
Incompatible
GEOM7001
Prerequisite
GEOM2000
Assessment methods
Project Proposal
Quiz
Project Report
Course enquiries
Doctor William Woodgate (Semester 2, Regular, St Lucia, In person)
Dr William Woodgate (w.woodgate@uq.edu.au)
Study Abroad
This course is pre-approved for Study Abroad and Exchange students.
Current course offerings
Course offerings | Location | Mode | Course Profile |
Semester 2, 2025 (28/07/2025 - 22/11/2025) | St Lucia | In Person | Profile unavailable |
Please Note: Course profiles marked as not available may still be in development.
Course description
Prior to 2022, this course was titled: Earth Observation: Image Processing and Modelling. Remote sensing or earth observation, is an important tool for monitoring and modelling the condition and dynamics of terrestrial, aquatic and atmospheric environments. The information extracted from images may be used in many ways, as image or thematic maps, directly in decision making, as estimates of biophysical variables or integrated with other spatial information systems for further analysis and display. This information can be collected from local to global scales for examining changes in the habitat of endangered fauna or monitoring continental scale deforestation and global scale oceanic and atmospheric conditions. This course is a logical progression from the remote sensing concepts and skills introduced in GEOM2000/7000. GEOM3001/7001 emphasises digital image processing for analysis of remotely sensed imagery, including airborne and satellite multi-spectral, hyper-spectral and synthetic aperture radar data. Practical sessions will involve a progression of practicals in the computer laboratory using the ENVI (Environment for Visualising Images) software package. Concepts and skills acquired in these sessions will be applied in the individual student remote sensing project that can be designed to suit your area of interest.