EM536 Remote Sensing and Image Analysis

UNE has cancelled in-person, paper-based exams for Trimester 2. Instead, all exams will either be transferred to other modes of assessment, or offered online. There may be some discrepancies to published unit information while we work through the University processes to approve the changes and reflect them through publication. Information about online exams is available on UNE's Online Supervised Exams page.

Updated: 22 April 2020
Credit Points 6
Location Teaching Period Mode of Study
Armidale Trimester 1 Online
Armidale Trimester 1 On Campus
Intensive School(s) None
Supervised Exam There is no supervised examination.
Pre-requisites candidature in a postgraduate award
Co-requisites None
Restrictions EM336 or EM432 or EM532 or EM436
Notes None
Combined Units EM336 - Remote Sensing and Image Analysis
EM436 - Remote Sensing and Image Analysis
Coordinator(s) Ross Jenkins (rjenkins@une.edu.au)
Unit Description

Introduction to advanced aspects of using remote sensing and image processing for resource management. The subject will cover aspects of: digital image display and enhancement; image ratios; principal components analysis; image classification and image rectification. Case studies examining the combination of remote sensing and GIS for natural resource management will be examined. Students should be computer literate and access to the Internet is highly desirable. The 500-level unit is based on the undergraduate level unit with additional reading, assignments or projects and the demonstration of a greater level of understanding of the undergraduate material.

Prescribed Material


Note: Students are expected to purchase prescribed material. Please note that textbook requirements may vary from one teaching period to the next.

Introductory Digital Image Processing: A Remote Sensing Perspective

ISBN: 9780134058160
Jensen, J.R., Pearson 4th ed. 2015

Note: This version is a Hard Cover. The eBook is much cheaper (ISBN: 9780134395166).

Text refers to: Trimester 1, On Campus and Online

Disclaimer Unit information may be subject to change prior to commencement of the teaching period.
Title Exam Length Weight Mode No. Words
Compulsory Practical Activity 20%
Relates to Learning Outcomes (LO)

LO: 1-4

Compulsory Project 20% 2500
Relates to Learning Outcomes (LO)

LO: 1-4

Compulsory Take Home Exam 40% 2500
Relates to Learning Outcomes (LO)

LO: 1-4

Compulsory Unit Quiz 20% 1500
Relates to Learning Outcomes (LO)

LO: 1-4

Learning Outcomes (LO) Upon completion of this unit, students will be able to:
  1. undertake autonomous research in the use of the spatial processing toolbox and its application to real-world problems;
  2. demonstrate autonomy, expert judgment, adaptability and responsibility in the use of the spatial processing toolbox in their own area of choice;
  3. analyse critically, and reflect on the usefulness of various image processing techniques in different field scenarios in order to assess its capabilities and potential applications; and
  4. construct, using advanced knowledge, error matrices from classified digital images and evaluate error matrices and write reports interpreting these matrices. Transmit this information to specialist and non-specialist audiences using verbal and written formats.