Spatial Data Systems and Remote Sensing

Course code SURV2650Units 10Level 2000Faculty of Engineering and Built EnvironmentSchool of Engineering

This course will provide students with a general knowledge of types of spatial information and data base structures and of methods for data analysis, classification and interpolation. Students will acquire skills in the use of Geographical Information Systems and managing spatial data input, verification, storage, output. Students will also obtain general knowledge of the basic concepts of remote sensing and general radiation theory. They will be exposed to a range of sensors and systems and will obtain a broad knowledge of a wide range of remote sensing applications. The course will provide students with general skills in image processing and image interpretation.

Available in 2015

Callaghan CampusSemester 2
Previously offered in 2014
ObjectivesA1
To provide students with a working knowledge of the theoretical background, methods and applications of spatial data analysis.

A2
To ensure that students obtain adequate skills in collecting, storing, retrieving, transforming and displaying spatial data.

A3
To provide students with hands-on experience with data storage and retrieval in computer based geographical information systems and exposure to practical applications.

B1
To provide students with a working knowledge of the theoretical background, methods and applications of remote sensing.

B2
To give students skills in image processing and interpretation of remote sensing data.

B3
To expose students to a range of environmental applications of remote sensing data.
ContentThis course will provide students with a general knowledge of:
1. Types of spatial information.
2. Data base structures.
3. Data analysis, spatial modelling, classification and interpolation methods.

The student will acquire skills in:
1. Use of Geographical Information Systems.
2. Managing spatial data input, verification, storage, output.

Students will obtain:
1. General knowledge of basic concepts of remote sensing and radiation theory.
2. Exposure to a range of sensors and systems.
3. Knowledge of a wide range of remote sensing applications.

The course will provide students with:
1. General skills in image processing and image interpretation.
Replacing Course(s)N/A.
TransitionN/A.
Industrial Experience0
Assumed KnowledgeThere are no pre-requisites for this course, although broad general knowledge of SURV1110 or PHYS1200.
Modes of DeliveryInternal Mode
Teaching MethodsProblem Based Learning
Lecture
Laboratory
Tutorial
Assessment Items
Essays / Written AssignmentsThree numerical assignments for remote sensing. Aimed at becoming familiar with key aspects of radiation theory and obtaining practical experience with image manipulation and classification techniques.
Laboratory ExercisesFive laboratory assignments aimed at obtaining hands on experience with image display, geometric corrections, image classification, multiple image analysis, and suitability mapping.

NOTE: Any modification to the above assessment arrangement will appear on the course outline normally issued in Week 1.
Contact HoursLaboratory: for 2 hour(s) per Week for Full Term
Lecture: for 2 hour(s) per Week for Full Term
Timetables2015 Course Timetables for SURV2650