Course Title: Digitally enhance and process image data

Part B: Course Detail

Teaching Period: Term1 2022

Course Code: GEOM5192C

Course Title: Digitally enhance and process image data

School: 530T Built Environment and Sustainability

Campus: City Campus

Program: C4417 - Certificate IV in Surveying and Spatial Information Services

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

Greg Patterson

Spatial Scientist and Surveying Teacher

School of Vocational Engineering, Health & Sciences

RMIT University

Building 56

Carlton, Vic, 3053, Australia

Phone: +61 400 231 518

Email: gregory.patterson@rmit.edu.au

www.rmit.edu.au

Nominal Hours: 40

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

None

Course Description

In this course you will develop the skills and knowledge required to extract information from original digital data before processing using remote sensing/geographic information system (GIS) software to manipulate, enhance, classify and process data. The image data can be multispectral or from aircraft, unmanned aerial vehicles or satellites.

This course is suitable for entry-level technicians who use a broad range of cognitive, technical and communication skills to select and apply a range of methods, tools, materials and information to complete routine and non-routine activities and provide and transmit solutions to a variety of predictable and sometimes unpredictable problems.



National Codes, Titles, Elements and Performance Criteria

National Element Code & Title:

CPPSSI4026 Digitally enhance and process image data

Element:

1. Identify image data

Performance Criteria:

1.1 Analyse project specifications to determine study area and image data requirements for task in consultation with appropriate persons. 1.2 Identify potential sources of image data to meet task requirements. 1.3 Identify constraints of different types and formats of image data in relation to task requirements.

Element:

2. Process and analyse image data

Performance Criteria:

2.1 Access image data and open in software. 2.2 Interpret graphical and technical information, including landscape features within digital images. 2.3 Enhance visual display to analyse image features. 2.4 Classify image data and interpret results to achieve task requirements. 2.5 Check results for accuracy and resolve identified problems.

Element:

3. Present and document results

Performance Criteria:

3.1 Present results of analysis in map, table or graph form. 3.2 Document results of analysis to meet task and organisational requirements. 3.3 Comply with health and safety requirements when using screen-based equipment and completing records and documentation. 3.4 Comply with legislative and organisational requirements relating to data privacy, copyright and licensing.


Learning Outcomes


On successful completion of this course you will have developed and applied the skills and knowledge required to demonstrate competency in the above elements. 


Details of Learning Activities


Details of Learning Activities

You will learn to:

1. Consult effectively with the appropriate person to analyse project specifications in determining the study area
2. Identify where imagery can be sourced including constraints associated with different types and formats
3. Importing and processing imagery using a GIS software package
4. Combining satellite imagery bands to create natural-coloured images
5. Perform contrast stretching to enhance the imagery
6. Conduct unsupervised and supervised classification
7. Validate output and resolve issues identified
8. Finalise the results of the analysis

The total number of scheduled hours of teaching, learning and assessment involved in this course includes all planned activities (face to face classes, lectures, workshops and seminars; workplace visits, online learning and other forms of structured teaching and learning). It also covers the amount of effort necessary to undertake, evaluate and complete all assessment requirements, observation of work performance, discussions with supervisors and others providing third party evidence and one on one and group assessment sessions with students.


Teaching Schedule

Course SyllabusWeekDateTopicAssessment / Learning activities
Week 1

Modules 1 - 3

- Meet with teacher and students

- Subject / Assessments

- Ensure safe screen-based work environment

- Satellites and Sensors

Meet and greet with teachers and students

Introduction to subject / assessment requirements

Activities:

1. Complete safe screen-based work environment document

2. Setup folder structure

Week 2

Modules 4 - 5

- Raster and Vector

- Change Detection

Lessons:

1. Difference between raster and vector

2. Change Detection


Activity:

1. Change Detection (HTML)

Week 3

Modules 6 and 7

- Types of Aerial Photography

- Stereoscopy

Lessons:

1. Types of aerial imagery

2. Stereoscopy 


Week 4

Module 8

- Determine Scale

- Determine Heights of features

Lessons

1. Scale

2. Heights


Activities:

1. Determine scale of imagery

Week 5

Module 9

Project work / Assessment 1

- Part 1: Meet and analyse project specifications


Lesson:

- Introduction to imagery interpretation

Lessons:

- Imagery Interpretation and Analysis

- Ground Truthing


Assessment Activities:

1. Meet and analyse project specifications

2, Update Portfolio

Week 6

Project work / Assessment 1

Part 3: Collect and collate information


Lessons

- Sourcing imagery

- Contract stretching

- Legislative Requirements

- Spatial References

Lesson:

1. Sourcing imagery

- satellite imagery

- aerial photography

- pictures

2. Contrast stretching

3. Legislative requirements associated with copyright

4. Spatial References

- Projection

- datum and

- coordinate systems)


Assessment Activities:

1. Obtain required information

2. Determine spatial reference

Week 7

Project work / Assessment 1

Part 3: Collect and collate information (Cont)


Lesson

- Distinguishing characteristic

Lesson:

1. Distinguishing characteristic

- Size

- Shape

- Shadow

- Tone / Texture / Pattern

- Associated features


Assessment Activities:

1. Analyse images and determine distinguishing features

2. Update portfolio / Interpretation guide

Week 8

Project work / Assessment 1

Part 4: Process and analyse image

Part 5: Present and Document results

Assessment activities:

1. Work on interpretation guide

2. Update portfolio and Interpretation guide

Week 9

Project work / Assessment 1

Part 6: Questionnaire

Assessment activities:

1. Work on interpretation guide

2. Update portfolio and Interpretation guide

3. Complete questionnaire

4. Upload submissions

Week 10

Meet with teacher and students

Project work / Assessment 2

Part 1: Meet and analyse project specifications

Part 2: Ensure safe screen-based work environment

Assessment Activity:

1. Check and update safe screen-based work environment document

Week 11

Project work / Assessment 2

Part 3: Download required imagery and associated metadata

Lessons:

1. Sentinal Imagery

2. Landsat Imagery


Assessment Activities:

1. Download required imagery and associated documentation

2. Update Portfolio


Week 12

Introduction to image classification

- Supervised and Unsupervised

Lessons:

1. Introduction to supervised and unsupervised classification

Activity:

1. Perform unsupervised classification.

2. Perform  supervised classification

Week 13

Project work / Assessment 2

Part 4: Perform Unsupervised Classification

Assessment Activities:

1. Perform unsupervised classification

2. Answer questions

3. Update Portfolio

Week 14

Project work / Assessment 2

Part 4: Perform supervised Classifications

Assessment Activities:

1. Perform supervised classification

2. Answer questions

3. Update Portfolio

Week 15

Project work / Assessment 2

Part 6:  Knowledge Questions

Assessment activity:

1. Complete questionnaire

Week 16

Project work / Assessment 2

Part 7:  Present Information

Assessment activity:

1. Upload submissions


Student support

Your first point of contact for any support needs with your assessments should be your teacher and assessor. If you require further support, you should consider contacting the following support services at RMIT. 


Assessment adjustments

Students requiring support or adjustments for their formal assessments task or exams should contact Equitable Learning Services (ELS), for more information on the types of adjustments provided, access RMIT adjustments to assessment.


Special consideration

If unexpected circumstances affect your ability to complete an assessment you can apply for special consideration.  For more information access RMIT special consideration.


Appeals

As an RMIT student you are entitled to seek a review of decisions that impact on your studies. For more information access RMIT appeals.



Learning Resources

Prescribed Texts


References


Other Resources


Overview of Assessment

Assessment for this course is ongoing throughout the semester. Your knowledge and understanding of course content is assessed through participation in class exercises, oral presentations and through the application of learned skills and insights to your written tasks. Full assessment briefs will be provided and can be found on CANVAS. 


Assessment Tasks

1. Assessment 1: Interpretation Guide - built environment focus
2. Assessment 2: Supervised Classification – Urban Built Environment Focus


Assessment Matrix

Mapping Assessments to the Unit of Competency – Instructions

Element

Performance criteria

 

 

 

 

Assessment Task 1:

Interpretation Guide - built environment focus

Assessment Task 2:

Supervised and Unsupervised Classification - Natural environment focus

1. Identify image data.

 

1.1. Analyse project specifications to determine study area and image data requirements for task in consultation with appropriate persons.

1A - 1D

1D

1.2 Identify potential sources of image data to meet task requirements.

1F

1E

1.3 Identify constraints of different types and formats of image data in relation to task requirements.

1F

3C

2. Process and Analyse image data.

 

 

 

 

2.1. Access image data and open in software.

4A

4H, 5D

2.2. Interpret graphical and technical information, including landscape features within digital images.

3A

4H, 5D

2.3 Enhance visual display to analyse image features.

5A

4H

2.4. Classify image data and interpret results to achieve task requirements.

3A

4H, 5D

2.5. Check results for accuracy and resolve identified problems.

4A

4H, 5D

3. Present and document results.

 

3.1 Present results of analysis in map, table or graph form.

5A

7A

3.2 Document results of analysis to meet task and organisational requirements.

5A

5B

3.3 Comply with health and safety requirements when using screen-based equipment and completing records and documentation.

2A

2A

3.4 Comply with legislative and organisational requirements relating to data privacy, copyright and licensing.

2A

3B


Foundation Skills –This section describes the language, literacy, numeracy and employment skills essential to performance in this unit but not explicit in the performance criteria.

Foundation skill

Foundation skills essential to performance are explicit in the performance criteria of this unit of competency.

 

Performance Evidence 

To demonstrate competency a candidate must meet the elements and performance criteria of this unit by using remote sensing or geographic information system (GIS) applications to digitally enhance, process and classify image data for two projects:

Assessment Task 1:

Interpretation Guide - built environment focus

Assessment Task 2: Supervised and Unsupervised Classification - Natural environment focus

One project with a built environment focus and one project with a natural environment focus

Assessment 1

built and natural environment focus

Assessment 2

Natural environment focus

PE1: digital aerial photographs

PE2: digital terrestrial images

PE3: images from an unmanned aerial vehicle (UAV)

PE4: satellite images.

PE1 – PE4

3A, 4A

PE1 - 4H, 5D

PE2 - 4H, 5D

PE3 – 4H, 5D

PE4 - 4C, 4D, 5D

 

 

Knowledge Evidence 

To be competent in this unit a candidate must demonstrate knowledge of:

Assessment Task 1:

Interpretation Guide - built environment focus

Assessment Task 2: Supervised and Unsupervised Classification - Natural environment focus

sources of image data

1F

6A

basic properties and characteristics of image data used in spatial applications.

 

5A

6B, 6C

image classification techniques used in remote sensing, including unsupervised classification algorithms

4A

6D

spectral properties of images and key features of spectral signatures

 

4B, 6G

techniques for enhancing image display, including contrast stretches and common band combinations

5A

4H

organisational guidelines relating to equipment use, work health and safety (WHS), and accessing and formatting image data and copyright.

 

6A, 6B

6J, 6K, 6L



Assessment conditions

Describe how assessments meet the assessment conditions

Assessors must meet the requirements for assessors contained in the Standards for Registered Training Organisations.

RMIT employment requires all trainers and assessors to comply with the Standards for RTOs in respect to holding the TAE40116, or higher VE qualification including any necessary updated units. All employees must show currency within their vocational specialty along with their professional employment.

Competency is to be assessed in the workplace or a simulated environment that accurately reflects performance in a real workplace setting where these skills and knowledge would be performed.

Assessments reflect the simulated workspace environment in line with current industry practices.

 

Candidates must have access to:

computer and software with image enhancement functionality

All labs have the appropriate computers and software installed.

Students will be provided home use licences for ESRI ArcGIS and Safe Software Feature Manipulation Engine (FME)

organisational policies and procedures relating to:

WHS

data privacy, copyright and licensing.

 

Students will be required to download the appropriate documents relating to work health and safety (WHS), data and information privacy and/or licensing as part of the training and assessment.

 

Other Information

Other information 

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 Support: 
Study Support provides free learning and academic development advice to you. 
Services offered by Study Support 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 https://www.rmit.edu.au/students/study-support to find more information about Study and learning Support 

Equitable Learning Services (ELS):

If you are suffering from long-term medical condition or disability, you should contact Equitable Learning Services (ELS) to seek advice and support to complete your studies.
Please refer to https://www.rmit.edu.au/students/support-and-facilities/student-support/equitable-learning-services to find more information about services offered by Equitable Learning Services (ELS).

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 https://www.rmit.edu.au/students/student-essentials/assessment-and-exams/assessment/special-consideration to find more information about special consideration 

Academic Integrity: 
"Academic integrity means acting with the values of honesty, trust, fairness, respect and responsibility in learning, teaching and research."

It means referencing the work of others while developing your own insights, knowledge and ideas.

Breaches of academic integrity include:

  • plagiarism and failure to correctly acknowledge sources
  • contract cheating or paying/getting another person to prepare an assignment
  • submitting work prepared by another person
  • copying other people’s work
  • cheating in exams
  • breaching the Research Code
  • using unauthorised materials or devices

Please Refer: https://www.rmit.edu.au/students/student-essentials/assessment-and-exams/academic-integrity to find more information about plagiarism. 

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

Students will be able to access course information and learning materials through the Learning Hub and may be provided with additional materials in class. Lists of relevant reference books, resources in the library and accessible Internet sites will be provided where possible. You will also use equipment and software packages in the laboratory for the project work. During the course, you will be directed to websites to enhance your knowledge and understanding of difficult concepts

Check the Library Subject Guides: http://rmit.libguides.com/geospatial

Course Overview: Access Course Overview