Course Title: Digitally enhance and process image data

Part B: Course Detail

Teaching Period: Term1 2019

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. 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: 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

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

Session 1 - Display spatial data on a map - Yarra Bend railways

Session 2 - Displaying spatial data and images on a map

Session 3 - GIS - SQL theory and application

Session 4 - Importing Excel data into ArcMap


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 competency 

Assessment

Task 1

Assessment 1

Task 2

Assessment 2

 


Assessment Tasks

No

Name of Assessment Task

Method of Assessment

1.

Assessment 1

Carlton Imagery

Sessions 5 & 6

Written Project - Carlton Imagery report

2.

Assessment 2

High Plains Snow Fields

Sessions 7 & 8

Written Project - High Plains Snow Fields Report


Assessment Matrix

No

Name of Assessment Task

Method of Assessment

Elements Performance Criteria

1.

Assessment 1

Carlton Imagery

Sessions 5 & 6

Written Project

E1 PC1.1, 1.2, 1.3

E2 PC2.1, 2.2, 2.3

E3 PC3.1, 3.2

2.

Assessment 2

High Plains Snow Fields

Sessions 7 & 8

Written Project

E1 PC1.1, 1.2, 1.3

E2 PC2.1, 2.3

E3 PC3.1, 3.2

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

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 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 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 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 http://www.rmit.edu.au/staff/studentadmin/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: www.rmit.edu.au/academicintegrity 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