Course Title: Conduct advanced remote sensing analysis

Part B: Course Detail

Teaching Period: Term2 2012

Course Code: GEOM5112C

Course Title: Conduct advanced remote sensing analysis

School: 130T Vocational Engineering

Campus: City Campus

Program: C6098 - Advanced Diploma of Spatial Information Services

Course Contact: Program Manager

Course Contact Phone: +61 3 9925 4468

Course Contact Email: engineering-tafe@rmit.edu.au


Name and Contact Details of All Other Relevant Staff

Thierry Demathieu
03 9925 8359
thierry.demathieu@rmit.edu.au
William Ntuwah
03 9925 4445
william.ntuwah@rmit.edu.au

 

Nominal Hours: 120

Regardless of the mode of delivery, represent a guide to the relative teaching time and student effort required to successfully achieve a particular competency/module. This may include not only scheduled classes or workplace visits but also the amount of effort required to undertake, evaluate and complete all assessment requirements, including any non-classroom activities.

Pre-requisites and Co-requisites

Nil.

Course Description

This unit of competency specifies the outcomes required to enhance, classify and process remotely sensed data, using both hard copy and digital imagery in a geographic information systems (GIS) context. It requires the ability to apply wide-ranging specialised technical, creative and conceptual skills, a broad knowledge of spatial datasets, and accountability for personal and group outcomes. Functions will entail complying with and developing or amending organisational guidelines.


National Codes, Titles, Elements and Performance Criteria

National Element Code & Title:

CPPSIS6017A Conduct advanced remote sensing analysis

Element:

1. Determine appropriate digital image processing techniques.

Performance Criteria:

1.1 Appropriate image, merger and modelling
techniques are determined according to
organisational requirements and project
specifications.
1.2 Appropriate data collection and analysis techniques
in remote sensing process are determined according
to project requirements.
1.3 Suitable digital image processing techniques and
digital image data formats are selected.
1.4 Additional characteristics of image and metadata
are included.
1.5 OHS issues are considered at all times.
1.6 Skills and knowledge are updated to accommodate
changes in operating environment and equipment.

Element:

2. Select suitable computing platforms and software systems.

Performance Criteria:

2.1 Spatial computing platforms and software systems
are assessed for suitability in line with the project
specification.
2.2 Availability of suitable data is verified with the
potential suppliers.
2.3 Constraints on use of spatial data are assessed
against specification.
2.4 Commercially available image processing systems
are assessed to determine appropriate components,
menu items, characteristics and statistics.

Element:

3. Conduct image enhancements and manipulations.

Performance Criteria:

3.1 Transformation routines using image calculations
are conducted.
3.2 Edge enhancements and smoothing filters are applied
with the use of convolution matrices.
3.3 Image transformation is performed with channels of
brightness, greenness and wetness.
3.4 Imagery for distribution is determined.

Element:

4. Perform supervised and unsupervised classifications on datasets.

Performance Criteria:

4.1 Thematic classifications and relative differentiations
between supervised and unsupervised classification
algorithms are determined.
4.2 Supervised classifications of algorithms are
conducted with the use of training areas.
4.3 Hard copy outputs are produced according to
specifications.
4.4 Error analysis is applied to perform an approximate
accuracy assessment of classifications.

Element:

5. Conduct data merger and GIS integration.

Performance Criteria:

4.1 Thematic classifications and relative differentiations
between supervised and unsupervised classification
algorithms are determined.
4.2 Supervised classifications of algorithms are
conducted with the use of training areas.
4.3 Hard copy outputs are produced according to
specifications.
4.4 Error analysis is applied to perform an approximate
accuracy assessment of classifications.


Learning Outcomes



Details of Learning Activities

Students will participate in a variety of teaching methods including: lectures, tutorials,practicals, class discussion, 
group/individual work on projects, audio-visual presentations and interaction with individuals and groups within Surveying area.


Teaching Schedule

This is an indicative teaching schedule, refer to the Blackboard for any changes or announcements.

Week No. Topic delivered Assessment/Task
1 Introduction to Remote Sensing  
2 Types of RS systems and EMS  
3 Spectral Signature of Objects  
4 MultiSpec SOFTWARE – Image analysis  
5 Analysis of Remote Sense images - Comparing the Five LandSat Channels Assignment 25%
6 Supervised and Unsupervised classification  
7 Vegetation indices  
8 Vegetation indices NDVI Browse Service
http://www.bom.gov.au/nmoc/NDVI/index.shtml
 		  
9 Vegetation Indices  
10 Change detection  
11 Laser scanning  
12 Introduction to photogrammetry  
13 Relief Displacement Assignment 25%
14 Parallax  
15 Relief Displacement  
16 Site visit  
17 TEST  
18 Supplementary TEST/Portfolio  
     


Learning Resources

Prescribed Texts

Campbell J.B. (1996) Introduction to Remote Sensing, 2nd Edition, The Guildford Press, New York.
 
Clevers J.G. and Buiten H.J. (1993) Land Information by Remote Sensing: theory and practice, Gordon and Breach Science Publishers, Amsterdam. 
  

Harrison B.A. and Jupp D.L.B. (1989) Introduction to Remotely Sensed Data, CSIRO Publications, East Melbourne.


References

http:/www.bom.gov.au   http://www.ga.gov.au/remote-sensing/capabilities/case-studies/aquatic/bathymetric-tonga.jsp http://wwwghcc.msfc.nasa.gov/irgrp/defs.html http://wwwghcc.msfc.nasa.gov/irgrp/defs.html


Other Resources


Refer to: http://rmit.libguides.com/spatial 


Overview of Assessment

Assessment may incorporate a variety of methods including written/oral activities and demonstration of practical skills to the relevant industry standards. Participants are advised that they are likely to be asked to personally demonstrate their assessment activities to their teacher/assessor. Feedback will be provided throughout the course.


Assessment Tasks

You are required to complete the following three assessment tasks:

1. Assignment 1 - Weight 20%          Due Week 5
2. Assignment 2 - Weight 20%          Due Week 13
3. Closed book Test - Weight 50%  on Week 17

4. Portfolio                  -Weight 10% on Week 18
 

All assessment tasks need to be succesfully completed to demonstrate competence.


Assessment Matrix

Assessment Task Element Weight
Assignment 1 Element 1, 2 20%
Assignment 2 Element 1, 2 and 3 20%
Test Element 1, 2,3 and 4 50%
Portfolio Element 1, 2,3 and 4 10%

Other Information

Study and learning Support:

Study and Learning Centre (SLC) provides free learning and academic development advice to you.
Services offered by SLC to support your numeracy and literacy skills are:

assignment writing, thesis writing and study skills advice
maths and science developmental support and advice
English language development

Please Refer http://www.rmit.edu.au/studyandlearningcentre to find more information about Study and learning Support

Disability Liaison Unit:

If you are suffering from long-term medical condition or disability, you should contact Disability Liaison Unit to seek advice and
support to complete your studies.

Please Refer http://www.rmit.edu.au/disability to find more information about services offered by Disability Liaison Unit

Late submission:

If you require an Extension of Submittable Work (assignments, reports or project work etc.) for 7 calendar days or less (from the original due date) and have valid reasons, you must complete and
lodge an Application for Extension of Submittable Work (7 Calendar Days or less) form and lodge it with the Senior Educator/ Program Manager.
The application must be lodged no later than one working day before the official due date. You will be notified within
no more than 2 working days of the date of lodgment as to whether the extension has been granted.

If you seek an Extension of Submittable Work for more than 7 calendar days (from the original due date) must lodge an Application for Special
Consideration form under the provisions of the Special Consideration Policy, preferably prior to, but no later than 2 working days
after the official due date.

Submittable Work (assignments, reports or project work etc.) submitted late without approval of an extension will not be accepted or marked.


Special consideration:

Please Refer http://www.rmit.edu.au/browse;ID=riderwtscifm to find more information about special consideration
 
Plagiarism:

Plagiarism is a form of cheating and it is very serious academic offence that may lead to expulsion from the University.

Please Refer: www.rmit.edu.au/academicintegrity to find more information about plagiarism.

Other Information:

All email communications will be sent to your RMIT email address and you must regularly check your RMIT emails. 

Course Overview: Access Course Overview