Key facts

UNE unit code: GISC436

*You are viewing the 2024 version of this unit which may be subject to change in future.

Start
  • Trimester 2 - Online
24/7 online support
  • Yes
Intensive schools
  • No
Supervised exam
  • No
Credit points
  • 6

Unit information

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Remote sensing and image analysis are an invaluable tool for resource management. Learn how you can use the power of big data to map and understand changes taking place at broad scales, and how these are used in real world applications.

Studying this unit will extend your capacity to apply the advanced aspects of remote sensing and image processing. Focusing on case studies, you will fine tune your understanding of the role of remote sensing and GIS for natural resource management.

You will explore digital image display and enhancement, image ratios, principal component analysis, image classification and image rectification.

Demonstrate your mastery of the various ways in which information can be extracted from digital imagery, adding to your spatial processing toolbox with the skills and knowledge to solve complex real-world problems.

Note that this unit is intended to extend your existing high-level computer literacy, and internet access is highly desirable.

Offerings

For further information about UNE's teaching periods, please go to Principal Dates.

Teaching period
Mode/location
Trimester 2Online

*Offering is subject to availability

Intensive schools

There are no intensive schools required for this unit.

Enrolment rules

Pre-requisites
48cp or candidature in a postgraduate award
Restrictions
EM336 or EM432 or EM436 or EM532 or EM536

Notes

While not mandatory, prior completion of GISC331 is recommended as it provides much of the foundational thinking that informs GISC436.

Please refer to the student handbook for current details on this unit.

Unit coordinator(s)

Bradley Evans

Learning outcomes

Upon completion of this unit, students will be able to:

  1. apply theoretical and technical knowledge of remote sensing and image analysis to process satellite images to identify different vegetation and objects;
  2. demonstrate a broad and coherent understanding of image enhancement techniques; analyse and evaluate how these can be used to extract information from digital imagery;
  3. analyse and evaluate image data and generate solutions to simple problems involving the use of the spatial processing toolbox and its application to real-world problems; and
  4. demonstrate autonomy, well developed judgement, adaptability and responsibility as a practitioner using the spatial processing toolbox for a specified task.

Assessment information

Assessments are subject to change up to 8 weeks prior to the start of the teaching period in which you are undertaking the unit.

TitleMust CompleteWeightOfferingsAssessment Notes
Practical ActivityYes20%All offerings 
ReportYes20%All offerings

No. Words: 1500

Take Home ExamYes40%All offerings 
Unit QuizYes20%All offerings

No. Words: 1200

Learning resources

Textbooks are subject to change up to 8 weeks prior to the start of the teaching period in which you are undertaking the unit.

Note:

Earth Observation: Data, Processing and Applications (All volumes)

Earth Observation Australia Inc

Note: The publication of this work has been jointly sponsored by the following organisations: - Cooperative Research Centre for Spatial Information (CRCSI) - Commonwealth Scientific and Industrial Research Organisation (CSIRO) - Geoscience Australia (GA) - Bushfire, Natural Hazards Cooperative Research Centre (BNHCRC) - FrontierSI.

Text refers to: All offerings

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