Course Title: Conduct advanced remote sensing analysis
Part B: Course Detail
Teaching Period: Term2 2010
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
+61 3 9925 8359
thierry.demathieu@rmit.edu.au
William Ntuwah
+61 3 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 |
Element: |
2. Select suitable computing platforms and software systems. |
Performance Criteria: |
2.1 Spatial computing platforms and software systems |
Element: |
3. Conduct image enhancements and manipulations. |
Performance Criteria: |
3.1 Transformation routines using image calculations |
Element: |
4. Perform supervised and unsupervised classifications on datasets. |
Performance Criteria: |
4.1 Thematic classifications and relative differentiations |
Element: |
5. Conduct data merger and GIS integration. |
Performance Criteria: |
5.1 Components of integration and merging techniques |
Learning Outcomes
Details of Learning Activities
Teacher led:
Classroom &/or tutorial instruction in Remore sensing and tasks associated with the elements above, mainly to enhance, classify and process remotely sensed data,
using both hard copy and digital imagery in a geographic information systems (GIS) context.
Student managed:
Develop data management strategies to determine suitable sources of information for the creation of new spatial data sets to industry standards.
Participation in group activities based on simulated workplace exercises. Individual exercises carrying out research, computations, data compilation and appraisal.
Compilation of Portfolio of examples of work, client reports, management reports and data management records.
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 | Assignment 20% |
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 20% |
6 | Supervised and Unsupervised classification | |
7 | Vegetation indices | |
8 | Vegetation indices NDVI Browse Service http://www.bom.gov.au/nmoc/NDVI/index.shtml |
Assignment 20% |
9 | Vegetation Indices | |
10 | Change detection | |
11 | Laser scanning | |
12 | Introduction to photogrammetry | |
13 | Relief Displacement | Assignment 20% |
14 | Parallax | |
15 | Site visit | |
16 | Site visit | |
17 | Relief Displacement | Assignment 20% |
18 | Site visit | |
Learning Resources
Prescribed Texts
Campbell J.B. (1996) Introduction to Remote Sensing, 2nd Edition, The Guildford Press, New York. |
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
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
Observation, using a skills checklist of performance of elements of competence as designated for this unit to the required standard during practical exercises within a simulated workplace project; including collection methods and techniques related to the project objectives..
Assessment Matrix
Element 1 | Determine appropriate digital image processing techniques. | Assignment 1 |
Element 2 |
Select suitable computing platforms and software systems. | Assignment 1 |
Element 3 |
Conduct image enhancements and manipulations. | Assignment 2 |
Element 4 |
Perform supervised and unsupervised classifications on datasets. | Assignment 2 |
Element 5 |
Conduct data merger and GIS integration. | Assignment 3 |
Course Overview: Access Course Overview