Subject details

On successful completion of the subject you should be able to:

  1. have an operational familiarity with GIS and remote sensing having worked through several example exercises
  2. use your skill and understanding of the subject to undertake modest projects using GIS and remote sensing.
    • Introduction/Cartographic Models
    • What is GIS?/ Data Models
    • Data Formats and Types - Databases/Census Data
    • Coordinate Systems/Georeferencing
    • Spatial Analysis Tools
    • Introduction to Remote Sensing
    • Image Pre-processing and Transformations
    • Image Classification
    • Interpolation
    • Errors & Uncertainty
    • Landscape Ecology
    • Multiple Criteria Evaluation
    • Change Detection - Time Series
    • Hyperspectral Remote Sensing - mineralogy
    • Spatial Data Best Practices - Industry Applications
    • Remote Sensing of Aquatic Systems
    • Ningaloo Case Study
    • Monitoring Invasive Weed Species Case Study
    • How to Get Data, Mobile GIS, Making a Map
    • Other Remote Sensing Instruments and Applications
    • Software Options
  • Study resources

    • Instructional methods

      • Discussion forum/Discussion Board
      • Online assignment submission
      • Podcasting/Lecture capture
      • Standard Media
    • Online materials

      • Audio-Video streaming
      • Resources and Links
      • Printable format materials

In order to enrol in this subject, you must be accepted into one of the following degrees:

  • MUR-EEN-GDI-2019

Special requirements

  • SoftwareDetails - The latest Idrisi GIS and image processing software. OUA students wishing to use the GIS software will need to purchase a student license copy of the Idrisi software. You can purchase a one-year timed license for the full software including full electronic documentation for US$39. Detail of how to purchase the software is set out on the last page of the unit information and learning guide (on the unit LMS).

A hands-on introduction to geographical information systems (GIS) and remote sensing as used in environmental management and planning.

This subject encourages spatial thinking and understanding of the physical and human environments, explores geographic data sources and focuses on basic skills in spatial data analysis. Topics:data sources, spatial data analysis, map construction, GPS, image classification, change detection, cartographic modelling and demographic data sets and analysis.

Practical work includes exercises and a minor team-based or individual research project.

  • GIS 3 (10%)
  • GIS 2 (10%)
  • GIS 1 (10%)
  • individual or two students (20%)
  • Practical Test (10%)
  • Invigilated Exam (40%)

Textbook information is pending.

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