This course provides students with fundamental concepts of geographical information sciences and remote sensing. It includes spatial reference systems, types of spatial information, database structures, analytical methods for spatial data analysis, and image processing. Students are exposed to a range of remotely sensed products and spatial data systems used for a wide range of environmental applications and engineering problems. Students will have hands on experience in the use of Geographical Information Systems and Remote Sensing software.
Availability2019 Course Timetables
- Semester 2 - 2019
This course replaces the following course(s): SURV2650. Students who have successfully completed SURV2650 are not eligible to enrol in SURV3650.
On successful completion of the course students will be able to:
1. Apply knowledge of the background, methods, and applications of Geographical Information Systems (GIS) and Remote Sensing (RS) to surveying and engineering applications.
2. Execute spatial data processing and analysis procedures to practical engineering applications using computer based GIS/RS software.
3. Apply practical skill sets to collect, store, retrieve, transform, and display various spatial data in a GIS environment.
4. Perform image processing and be able to interpret remotely sensed data in a GIS environment.
• Georeferencing and spatial coordinate systems
• Types of spatial information
• Database structures
• Analytical methods for spatial data analysis and modelling
• Basic concepts of remote sensing and radiation theory
• Exposure to a range of sensors and systems
• Knowledge of a wide range of GIS and RS applications
Content covered in courses MATH1110 and MATH1120, and successful completion of SURV1200, SURV2210, SURV2220, SURV2230, SURV3350 and SURV3510.
Tutorial / Laboratory Exercises: GIS/RS Laboratory
Formal Examination: Final Examination
Face to Face On Campus 2 hour(s) per Week for 5 Weeks
The above distribution of contact hours may alter on a weekly basis and will be confirmed by communications via Blackboard
Face to Face On Campus 2 hour(s) per Week for Full Term
The above distribution of contact hours may alter on a weekly basis and will be confirmed in the course outline handed to students in Week 1