Course Title: Digitally enhance and process image data

Part B: Course Detail

Teaching Period: Term2 2020

Course Code: COSC6208C

Course Title: Digitally enhance and process image data

School: 174T School of VE Engineering, Health & Science

Campus: City Campus

Program: C4388 - Certificate IV in 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 Indira Wittamperuma 

Teacher - Surveying

RMIT University - SVEHS
Building 51, Level 6, Room 10
80-92 Victoria Street
Carlton 3053, Australia
Tel. +61 3 9925 4176
Email: indira.wittamperuma@rmit.edu.au

 

Greg Patterson

Teacher - Surveying

RMIT University - SVEHS
Building 51, Level 6, Room 10
80-92 Victoria Street
Carlton 3053, Australia
Tel. +61 3 9925 9218
Email: gregory.patterson@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

NIL

Course Description

This unit of competency specifies the outcomes required to enhance and process image data using digital techniques. The unit covers using remote sensing software to manipulate, enhance, classify and process data to reveal geographic patterns and relationships and improve resolution. Image data can be digital, multispectral scanner, or radar. Platforms can be aircraft, unmanned aerial vehicles or satellites at low to high altitudes. The unit requires assessing the survey area and project specifications to determine the types and possible sources of image data to meet requirements.

The unit supports those who work in a spatial information services team in support positions, such as image analyst, geographic information system (GIS) analyst, GIS officer, or cartographer.


National Codes, Titles, Elements and Performance Criteria

National Element Code & Title:

CPPSIS4026 Digitally enhance and process image data

Element:

1. Identify image data.

Performance Criteria:

1.1.Project specifications, survey area and types of image data requirements are determined in consultation with appropriate persons.
1.2.Possible sources of image data are identified to meet project specifications.
1.3.Constraints of different types and formats of image data are identified in relation to project specifications.

Element:

2. Process image data.

Performance Criteria:

2.1.Image data is accessed and analysed using digital techniques to clarify features and properties according to project specifications.
2.2.Ground control targets for photogrammetric mapping are checked to enhance image data.
2.3.Image data is processed, analysed and classified according to organisational procedures to achieve project specifications.

Element:

3. Finalise digital image enhancement tasks.

Performance Criteria:

3.1.Data image problems are identified and resolved using enhancement techniques according to organisational requirements.
3.2.Information from data images is used to meet project specifications, and documentation is completed according to organisational requirements.


Learning Outcomes


See elements above


Details of Learning Activities

Completing this project allows you to demonstrate finalising digital image enhancement tasks: Information from data images is used to meet project specifications, and documentation is completed according to organisational requirements.

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.

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.
 


Teaching Schedule

Activity 1 - Display spatial data on a map

Activity 2 - Displaying spatial data and images on a map

Assessment 1

Activity 3 - GIS - SQL theory and application

Activity 4 - Importing Excel data into ArcMap

Assessment 2


Learning Resources

Prescribed Texts


References


Other Resources

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


Overview of Assessment

Assessment Tasks

You must pass each of the following assessment tasks to demonstrate competency 

Assessment

Task 1

Assessment 1

Task 2

Assessment 2

 


Assessment Tasks

No

Name of Assessment Task

Due date

1.

Assessment 1

Week 8

2.

Assessment 2

Week 16

 


Assessment Matrix

Element

Performance criteria

 

 

 

 

Assessment Task 1: Urban Built Environment Focus

Assessment Task 2:

Natural Environment Focus

1. Identify image data.

 

1.1. Project specifications, survey area and types of image data requirements are determined in consultation with appropriate persons.

Task 1

1.1, 1.2

Task 1

1.1

1.2 Possible sources of image data are identified to meet project specifications.

Task 2

2.1 (b)

Task 2

2.1 (b)

1.3 Constraints of different types and formats of image data are identified in relation to project specifications.

Task 2

2.1 (c)

Task 2

2.1 (c)

2. Process image data.

 

 

 

 

2.1. Image data is accessed and analysed using digital techniques to clarify features and properties according to project specifications.

Task 4

4.1

Task 3

3.3

2.2. Ground control targets for photogrammetric mapping are checked to enhance image data.

Task 3

3.1, 3.2

 

2.3. Image data is processed, analysed and classified according to organisational procedures to achieve project specifications.

Task 4

4.1

Task 3

3.1, 3.2, 3.3

 

3. Finalise digital image enhancement tasks.

 

3.1 Data image problems are identified and resolved using enhancement techniques according to organisational requirements.

Task 3

3.2

Task 3

3.4

3.2. Information from data images is used to meet project specifications, and documentation is completed according to organisational requirements.

Task 3

3.2

Task 4

4.1

Task 3

3.1, 3.2, 3.3

 

Task 4

4.1

 

 

Other Information

Underpinning Skills and Knowledge

Literacy skills to  assess,  use workplace information and  manage information
Read and write technical reports
Numeracy skills to analyse errors, record with accuracy and precision
Safe work practices
Surveying equipment requirements for data capture and data set out
Surveying reference systems
Surveying data capture and data set out methodologies technology skills to  use instruments as part of engineering surveying projects
Engineering-related tasks and associated computations
Spatial skills to display proficiency in the operation of surveying equipment  and  exercise precision and accuracy in relation to spatial and aspatial data design
Archive and retrieve spatial data, manage and manipulate spatial data

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. 

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