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Unit Summary

Unit type

PG Coursework Unit

Credit points

12

AQF level

9

Level of learning

Intermediate

Unit aim

Examines the use of remote sensing and geographic information systems (GIS) to manage earth resources. Students will focus on the principles, sensor characteristics, extraction of information from remotely sensed data and applications of remote sensing with relevance to GIS applications. Students will develop practical spatial data analysis skills in the laboratory to solve problems relevant to environmental management.

Unit content

Remote sensing of the environment — an overview

Electromagnetic radiation principles

Elements of visual image interpretation

Multispectral remote sensing systems

Active and LIDAR remote sensing

Discipline specific remote sensing (vegetation, water, soils or urban landscape)

Image classification

Integration of remotely sensed data and geographic information systems

Strategies for problem solving in resource management

Learning outcomes

Unit Learning Outcomes express learning achievement in terms of what a student should know, understand and be able to do on completion of a unit. These outcomes are aligned with the graduate attributes. The unit learning outcomes and graduate attributes are also the basis of evaluating prior learning.

GA1: , GA2: , GA3: , GA4: , GA5: , GA6: , GA7:
On completion of this unit, students should be able to: GA1 GA2 GA3 GA4 GA5 GA6 GA7
1 demonstrate an understanding of the interaction of electromagnetic radiation with geographic features
2 differentiate geographic features by analysing remotely sensed data
3 combine remotely sensed data with GIS data for application in environmental management
4 solve problems relevant to environmental management using remotely sensed data and GIS.

On completion of this unit, students should be able to:

  1. demonstrate an understanding of the interaction of electromagnetic radiation with geographic features
    • GA4:
  2. differentiate geographic features by analysing remotely sensed data
    • GA4:
  3. combine remotely sensed data with GIS data for application in environmental management
    • GA4:
  4. solve problems relevant to environmental management using remotely sensed data and GIS.
    • GA1:
    • GA2:
    • GA4: