Overview

This unit introduces basic principles, methods, techniques and applications of GIS and remote sensing. It covers basics of GIS and remote sensing, spatial data collection and management, spatial data manipulation, spatial data analysis and modelling, remote sensing image processing and interpretation and spatial data visualisation. Case studies and hands-on practice … For more content click the Read More button below.

Offerings

S2-01-CLAYTON-ON-CAMPUS

Rules

Enrolment Rule

Contacts

Chief Examiner(s)

Dr Xuan Zhu

Unit Coordinator(s)

Dr Xuan Zhu

Notes

IMPORTANT NOTICE:
Scheduled teaching activities and/or workload information are subject to change in response to COVID-19, please check your Unit timetable and Unit Moodle site for more details.

Learning outcomes

On successful completion of this unit, you should be able to:
1.

Demonstrate a clear understanding of the key concepts and principles of GIS and remote sensing;

2.

Develop an ability to collect, handle and use digital spatial data for mapping, analysis and modelling;

3.

Identify sources of spatial data and assess the nature and quality of spatial data;

4.

Demonstrate basic problem solving skills with GIS and remote sensing;

5.

Demonstrate a high level of skills in the use of GIS software (ArcGIS);

6.

Develop their own applications of GIS and remote sensing.

Teaching approach

Active learning

Assessment

1 - Practical 1: An introduction to ArcGIS
2 - Practical 2: Vector and raster representations of the world
3 - Practical 3: Map projections and coordinate systems
4 - Practical 4: Spatial data input and editing
5 - Practical 5: Vector data analysis
6 - Practical 6: Raster data analysis
7 - Practical 7: Spatial statistics
8 - Practical 8: Spatial visualisation
9 - Practical 9: Image classification
10 - Project: GIS analysis of land use change
11 - Examination (2 hours and 10 minutes)

Scheduled and non-scheduled teaching activities

Practical activities

Workload requirements

Workload

Learning resources

Required resources

Availability in areas of study

Earth science
Environmental science
Geographical science
Human geography