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

Senior Educator   Surveying Department School of Vocational Engineering, Health and Science (SVEHS)
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.
1.2.Appropriate data collection and analysis techniques in remote sensing process are determined according to project specifications.
1.3.Suitable digital image processing techniques and digital image data formats are selected according to project specifications.
1.4.Additional characteristics of image and metadata are identified according to project specifications.

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.
2.2.Availability of suitable data is verified with potential suppliers according to project specifications.
2.3.Constraints on use of spatial data are assessed against project specifications and contingencies are planned according to organisational requirements.
2.4.Commercially available image processing systems are assessed to determine appropriate components, menu items, characteristics and statistics to meet project specifications.

Element:

3.Enhance and manipulate images.

Performance Criteria:

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

Element:

4.Perform classifications on datasets.

Performance Criteria:

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

Element:

5.Conduct data merger and GIS integration.

Performance Criteria:

5.1.Integration and merging techniques are identified and documented.
5.2.Techniques for integrating GIS data are identified and documented.
5.3.Remote sensing data is merged and integrated into GIS according to project specifications.


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