Available in 2018

Course handbook

Description

This course provides students with fundamental concepts of geographical information sciences and remote sensing. It includes types of spatial information, database structures, analytical methods for spatial data analysis, and image processing. Student 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 packages.


Availability2018 Course Timetables

Callaghan

  • Semester 2 - 2018

Replacing course(s)

This course replaces the following course(s): SURV2650. Students who have successfully completed SURV2650 are not eligible to enrol in SURV3650.


Learning outcomes

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

1. Demonstrate a working knowledge of the theoretical background, methods, and applications of Geographical Information Systems (GIS) and Remote Sensing (RS)

2. Have hands on experience with spatial data processing and analysis in computer based GIS/RS software and exposure to practical engineering applications

3. Learn practical skill sets to collect, store, retrieve, transform, and display various spatial data

4. Perform the image processing and be able to interpret remotely sensed data


Content

•    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.


Assumed knowledge

Content covered in courses MATH1110 and MATH1120, and successful completion of SURV1200, SURV2210, SURV2220, SURV2230 SURV3350 and SURV3510.


Assessment items

Tutorial / Laboratory Exercises: GIS/RS Laboratory

Formal Examination: Final Examination


Contact hours

Callaghan

Computer Lab

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

Lecture

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