Course Title: Conduct advanced remote sensing analysis
Part B: Course Detail
Teaching Period: Term2 2018
Course Code: GEOM5160C
Course Title: Conduct advanced remote sensing analysis
School: 174T School of VE Engineering, Health & Science
Campus: City Campus
Program: C6156 - Advanced Diploma of Surveying
Course Contact: Thierry Demathieu
Course Contact Phone: +61 3 9925 8359
Course Contact Email: thierry.demathieu@rmit.edu.au
Name and Contact Details of All Other Relevant Staff
Dr. Toby Manning
RMIT University
Building 51, Level 6, Room 10E
115 Queensberry St
Carlton 3053, Australia
Tel. +61 3 9925 4934
Email: toby.manning@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
There are no pre-requisites for this unit.
Course Description
This unit of competency specifies the outcomes required to use computing platforms, software systems and image processing techniques to conduct advanced remote sensing analysis on hard copy and digital imagery. The unit covers preparing for work by analysing specifications and deciding appropriate techniques for collecting and analysing images, as well as appropriate hardware and software and image processing systems to perform the required image enhancements and manipulations. The unit also covers accessing and assessing available and suitable spatial datasets to identify constraints on use. The unit requires the ability to perform supervised and unsupervised classifications on datasets using classification algorithms, and to conduct related error analysis. It also requires the ability to merge remote sensing data and prepare data for geographic information system (GIS) integration.
The unit supports those who work in a technical management role in a spatial information services team, in areas such as cartography, town planning, mapping and GIS.
National Codes, Titles, Elements and Performance Criteria
National Element Code & Title: |
CPPSIS6037 Conduct advanced remote sensing analysis |
Element: |
1.Determine image processing techniques. |
Performance Criteria: |
1.1.Project specifications are identified and analysed to determine appropriate image, merger and modelling techniques according to organisational requirements. |
Element: |
2.Select computing platforms and software systems for image processing. |
Performance Criteria: |
2.1.Appropriate computing platforms and software systems are assessed for suitability according to project specifications. |
Element: |
3.Enhance and manipulate images. |
Performance Criteria: |
3.1.Transformation routines using image calculations are conducted. |
Element: |
4.Perform classifications on datasets. |
Performance Criteria: |
4.1.Thematic classifications and relative differentiations between supervised and unsupervised classification algorithms are determined. |
Element: |
5.Conduct data merger and GIS integration. |
Performance Criteria: |
5.1.Integration and merging techniques are identified and documented. |
Learning Outcomes
Please refer to the Elements of Competency.
Details of Learning Activities
You will learn:
- industry-accepted techniques for applying supervised and unsupervised classification algorithms to remote sensing data
- computer platforms and software systems for advanced remote sensing analysis and GIS integration
- copyright and ownership constraints relating to spatial data
- digital image processing techniques
- digital image data formats, including BIL, BIP, BSQ and RLE
- existing spatial datasets and dataset sources
- image calculations required for transformation routines, including:
- greenness ratios
- greenness ratios plus dark value
- normalised difference vegetation index (NDVI)
- image enhancement, manipulation and merger techniques
- methods for analysing metadata
- methods for assessing commercially available image processing systems, including characteristics and statistics
- methods for validating spatial data sources and constraints on use
- key features of spatial referencing and coordinate systems
- techniques for integrating GIS data, including:
- cartographic modelling
- environmental modelling
- land cover classification.
Teaching Schedule
Week |
Date |
Topic |
Assessment |
19 |
4 July |
Introduction to Remote Sensing · Familiarise with definitions of Remote Sensing · Various applications of commercial satellite imagery |
Activity 1 |
20 |
11 July |
Analysis of Remote Sense images - Comparing the Five LandSat Channels |
Activity 2 |
21 |
18 July |
Image enhancement |
Activity 3 |
22 |
25 July |
Supervised and Unsupervised classification |
Activity 4 |
23 |
1 Aug |
Vegetation indices |
Activity 5 |
24 |
8 Aug |
Vegetation indices NDVl Browse Service http://www.bom.gov.au/nmoc/NDVI/index.shtml |
Activity 6 |
25 |
15 Aug |
Vegetation Indices - Create a composite image |
Activity 7 |
26 |
22 Aug |
Vegetation Indices - Change image file format |
Activity 8 |
|
29 Aug |
MID-SEMESTER BREAK |
|
27 |
5 Sep |
Change detection - changes in the amount of cultural features between two images |
Activity 9 |
28 |
12 Sep |
Laser scanning - Laser Scanning System 3D laser scanning system for complete, accurate, fast visualization and modelling of complex structures and sites |
Activity 10 Assignment 2, 30% |
29 |
19 Sep |
Introduction to photogrammetry — Vertical, Low oblique and High oblique photos, stereoscopic, overlaps |
Activity 11 |
30 |
20 Sep |
Relief Displacement — Airphoto terminology, scale comps, relief displacement comps, orienting a stereopair |
Activity 12 |
31 |
3 Oct |
Parallax - Stereoscopic vision, Parallax Displacements on Overlapping Vertical Photographs, Height comps |
Activity 13 Assignment 2 Due date |
32 |
10 Oct |
Site Visit |
|
33 |
17 Oct |
Portfolio compilation |
Assessment 1 - 30% |
34 |
24 Oct |
Test |
Assessment 3 - Test 40% |
35 |
31 Nov |
No Class |
|
36 |
7 Nov |
End of Semester 2 |
|
Learning Resources
Prescribed Texts
References
Other Resources
Check the Library Subject Guides:
http://rmit.libguides.com/geospatial
Overview of Assessment
Assessment Tasks
You must pass each of the following assessment tasks to demonstrate competent.
Assessment |
Weight% |
|
Task 1 |
Assignment 1 |
30% |
Task 2 |
Assignment 2 |
30% |
Task 3 |
Test |
40% |
These tasks assesses the following Course Learning Outcomes (CLOs):
Assessment Mapping Matrix
Elements/ Performance Criteria Covered |
Task 1 |
Task 2 |
Task 3 |
1.1 |
X |
|
X |
1.2 |
X |
|
|
1.3 |
X |
|
X |
1.4 |
|
X |
X |
2.1 |
X |
|
X |
2.2 |
X |
X |
|
2.3 |
|
X |
X |
2.4 |
X |
X |
|
3.1 |
X |
|
X |
3.2 |
X |
|
X |
3.3 |
X |
|
X |
3.4 |
X |
|
X |
4.1 |
|
X |
X |
4.2 |
|
X |
X |
4.3 |
|
X |
X |
4.4 |
|
X |
X |
5.1 |
|
X |
X |
5.2 |
|
X |
X |
5.3 |
|
X |
X |
To be deemed competent you must demonstrate an understanding of all aspects required of the competency. Assessment methods have been designed to measure your achievement of each competency in a flexible manner over multiple tasks.
Assessment Tasks
Assessment |
Weight% |
|
Task 1 |
Assignment 1 |
30% |
Task 2 |
Assignment 2 |
30% |
Task 3 |
Test |
40% |
Assessment Matrix
Assessment Mapping Matrix
Elements/ Performance Criteria Covered |
Task 1 |
Task 2 |
Task 3 |
1.1 |
X |
|
X |
1.2 |
X |
|
|
1.3 |
X |
|
X |
1.4 |
|
X |
X |
2.1 |
X |
|
X |
2.2 |
X |
X |
|
2.3 |
|
X |
X |
2.4 |
X |
X |
|
3.1 |
X |
|
X |
3.2 |
X |
|
X |
3.3 |
X |
|
X |
3.4 |
X |
|
X |
4.1 |
|
X |
X |
4.2 |
|
X |
X |
4.3 |
|
X |
X |
4.4 |
|
X |
X |
5.1 |
|
X |
X |
5.2 |
|
X |
X |
5.3 |
|
X |
X |
To be deemed competent you must demonstrate an understanding of all aspects required of the competency. Assessment methods have been designed to measure your achievement of each competency in a flexible manner over multiple tasks.
Other Information
Underpinning Skills and Knowledge
Understanding of errors, accuracy and precision in technical reporting
Computer skills to complete business documentation
Initiative and enterprise skills to interpret project and technical requirements, translate requirements into design
Spatial skills to exercise precision and accuracy in relation to spatial and aspatial data design
Archive and retrieve spatial data
Manage and manipulate spatial data and manage files
Organisational policies and guidelines, such as OHS guidelines
Industry standards relating to subdivision survey design and local government data formats
Credit Transfer and/or Recognition of Prior Learning (RPL):
You may be eligible for credit towards courses in your program if you have already met the learning/competency outcomes through previous learning and/or industry experience. To be eligible for credit towards a course, you must demonstrate that you have already completed learning and/or gained industry experience that is:
• Relevant
• Current
• Satisfies the learning/competency outcomes of the course
Please refer to http://www.rmit.edu.au/students/enrolment/credit to find more information about credit transfer and RPL.
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 to 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 to 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 seven calendar days or less (from the original due date) and have valid reasons, you must complete 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 two working days of the date of lodgement as to whether the extension has been granted.
If you seek an Extension of Submittable Work for more than seven calendar days (from the original due date), you must lodge an Application for Special Consideration form under the provisions of the Special Consideration Policy, preferably prior to, but no later than two 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 to http://www.rmit.edu.au/students/specialconsideration 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 to http://www.rmit.edu.au/academicintegrity to find more information about plagiarism.
Email Communication:
All email communications will be sent to your RMIT email address and you must regularly check your RMIT emails.
Course Overview: Access Course Overview