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EM432 Remote Sensing and Image Analysis

Credit Points 6
Offering
Responsible Campus Teaching Period Mode of Study
Armidale Trimester 1 Off Campus
Armidale Trimester 1 On Campus
Intensive School(s)
Start Finish Attendance Notes
13 April 2013 17 April 2013 Mandatory On-campus and off-campus students must attend the intensive school
Supervised Exam There is no UNE Supervised Examination.
Pre-requisites 48cp or candidature in a postgraduate award
Co-requisites None
Restrictions EM532
Notes None
Combined Units EM532 - Remote Sensing and Image Analysis
Coordinator(s) Lalit Kumar (lkumar@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
Mandatory 		Text(s):

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
ISBN: 9780131453616
Jensen, J.R., Prentice Hall 3rd ed. 2005
Text refers to: Trimester 1 , On and Off Campus
Disclaimer Unit information may be subject to change prior to commencement of the teaching period.
Assessment
Title Exam Length Weight Mode No. Words
Practical 10%
Relates to Learning Outcomes (LO) and Graduate Attributes (GA)
LO: 1-4 GA: 1, 2, 8
Report 30% 2500
Relates to Learning Outcomes (LO) and Graduate Attributes (GA)
LO: 1-4 GA: 1, 2, 4
Take Home Exam 40% 2000
Relates to Learning Outcomes (LO) and Graduate Attributes (GA)
LO: 1-4 GA: 1,2, 4, 6, 8
Unit Test 20% 1200
Relates to Learning Outcomes (LO) and Graduate Attributes (GA)
LO: 1-4 GA: 1, 2, 6

Learning Outcomes (LO) Upon completion of this unit, students will be able to:
  1. apply knowledge of the discipline to real world issues in remote sensing;
  2. understand image enhancement techniques and develop appreciation of how these can be used to extract information from digital imagery;
  3. investigate the spatial processing toolbox and its application to real-world problems; and
  4. empower students to be independent and productive users of the spatial processing toolbox in their own area of choice.

Graduate Attributes (GA)
Attribute Taught Assessed Practised
1 Knowledge of a Discipline
Lab projects and lectures cover applications from across the discipline and also look at the historical development of GIS and its effects on data dissemination. 		True True True
2 Communication Skills
Completion of written project and practical reports; presentation of seminars. 		True True
3 Global Perspectives
Students are able to evaluate how GIS has impacted on the development of various countries through the integration of data from different sources and at different scales. 		True True
4 Information Literacy
The projects and practicals require students to access information via library searches and internet searches. 		True True True
5 Life-Long Learning
Principles and techniques taught, assessed and practised provide students with a base for life-long learning in natural resources management. 		True True
6 Problem Solving
Problem solving is taught, assessed and practised via the collection, processing and analysing of data relating to environmental problems. 		True True True
7 Social Responsibility
Where appropriate, relevance to conservation and sustainable land use is linked in practical exercises and projects. 		True True
8 Team Work
Students are required to work in groups when completing practicals, field work and projects. 		True True True
   

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