Part B: Course Detail

Teaching Period: Term1 2023

Course Code: GEOM5192C

Course Title: Digitally enhance and process image data

Important Information:

Please note that this course may have compulsory in-person attendance requirements for some teaching activities.  

To participate in any RMIT course in-person activities or assessment, you will need to comply with RMIT vaccination requirements which are applicable during the duration of the course. This RMIT requirement includes being vaccinated against COVID-19 or holding a valid medical exemption.  

Please read this RMIT Enrolment Procedure as it has important information regarding COVID vaccination and your study at RMIT: https://policies.rmit.edu.au/document/view.php?id=209.  

Please read the Student website for additional requirements of in-person attendance: https://www.rmit.edu.au/covid/coming-to-campus  

Please check your Canvas course shell closer to when the course starts to see if this course requires mandatory in-person attendance. The delivery method of the course might have to change quickly in response to changes in the local state/national directive regarding in-person course attendance.  

School: 530T Built Environment and Sustainability

Campus: City Campus

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

Course Contact: Matthew Sweeney

Course Contact Phone: +61 3 9925 4105

Course Contact Email: matthew.sweeney@rmit.edu.au

Name and Contact Details of All Other Relevant Staff

Dr Indira Wittamperuma

Surveying & Spatial Educator

Surveying Department

School of Vocational Engineering, Health & Science

RMIT University

MELBOURNE  3001

Victoria, Australia

Email: indira.wittamperuma@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

In this course you will learn:  

• Raster and Vector data
• Sourcing imagery
• imagery interpretation
• Spatial References
• Types of  Satellite images: Sentinal Imagery, Landsat Imagery
• supervised and unsupervised classification.

Teaching Schedule

Session One 6-12 February	Welcome and course overview In this session you will be introduced to the assessment requirements,  health and safety requirements when using screen-based equipment and digital data agreements	Activity 1: Complete online OHS document
Session Two 13-19 February	Spatial data types, formats and constraints In this session, you will be introduced to different characteristics of vector and raster data, file formats and constraints.	Activity 2: Introduced to imagery data types, formats and constraints
Session Three 20-26 February	Imagery Interpretation In this session, you will be introduced to Interpretation techniques used to interpret graphical and technical information, including landscape features within digital images	Activity 3: Introduced to imagery Interpretation techniques
Session Four 27 February - 5 March	Enhance visual display and analyse imagery data In this session, you will be introduced to methods for  enhance visual display to analyse image features and classify and interpret image data and check results for accuracy and resolve identified problems	Activity 4: Introduced to enhancing visual display including classifying and interpreting image data
Session Five 6-12 March	Introduction to Metadata In this session you will be introduced to Metadata and the associated standards including associated metadata fields	Activity 5: Introduction to metadata standards and associated fields
Session Six 13-19 March	Interpretation Guide In this session you will be introduced to imagery interpretation guides. Note: 13 Feb - Labour Day public holiday	Activity 6: Introduction to Imagery Interpretation guides
Session Seven 20-26 March	Assessment 1: Interpretation Guide-built environment focus In this session you will meet the client where you will analyse project specification and collect and collate required information
Session Eight 27 March - 2 April	Assessment 1: Interpretation Guide-built environment focus In this session you will process and analyse imagery and present and document results
Session Nine 3-9 April	Assessment 1: Interpretation Guide-built environment focus (Continued) In this session you will complete the knowledge questions and submit all requirements onto canvas.   Note: 07 April (Friday) - Good Friday public holiday	Assessment 1 Due - 02nd April
Mid-semester break 10-16 April	The Mid-semester break is a scheduled break in the semester. No teaching or assessment will occur during this time. Also, your Trainer/Assessor won't be available during this time. If you need to contact them, please email them via your student email account, and they will respond once they return from the break
Session Ten 17-23 April	Spectral properties and signatures In this session, you will be introduced to spectral properties of images and key features of spectral signatures	Activity 7: Introduced to image spectral properties and signatures
Session Eleven 24-30 April	Imagery unsupervised classification techniques  In this session, you will be introduced to image classification techniques used in remote sensing, including unsupervised classification algorithms. This will include common band combinations	Activity 8: Introduced to image classification techniques using supervised and unsupervised classification
Session Twelve 1-7 May	Imagery supervised classification techniques (Supervised) In this session, you will be introduced to image classification techniques used in remote sensing, including supervised classification algorithms. This will include common band combinations	Activity 9: Introduced to image classification techniques using supervised and unsupervised classification
Session Thirteen 8-14 May	Imagery supervised classification techniques (Continued) In this session, you will be introduced to image classification techniques used in remote sensing, including supervised classification algorithms. This will include common band combinations	Activity 10: Introduced to image classification techniques using supervised and unsupervised classification
Session Fourteen 15-21 May	Assessment 2: Supervised and Unsupervised Classification-Natural environment focus In this session you will meet the client where you will analyse project specification and collect and collate required information
Session Fifteen 22-28 May	Assessment 2: Supervised and Unsupervised Classification-Natural environment focus In this session you will process and analyse imagery and present and document results	Assessment 2 Due 28th May
Session Sixteen 29 May - 4 June	Assessment 2: Supervised and Unsupervised Classification-Natural environment focus In this session you will complete the knowledge questions and submit all requirements onto canvas.
Session Seventeen 5-11 June	Revision and feedback on work completed
Session Eighteen 12-18 June	Assessment marking and finalising results

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

 

Assessment number	Assessment type	Week Due
Assessment 1	Project- Interpretation Guide - built environment focus	Week 9
Assessment 2	Project - Supervised Classification – Urban Built Environment Focus	Week 15

Assessment Matrix

Element	Performance criteria	Assessment 1:  Interpretation Guide - built environment focus	Assessment 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 the 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

 

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 1:  Interpretation Guide - built environment focus	Assessment 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 with 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 licenses 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

Interim Results

After you have submitted an assessment, you will receive an interim result. This is displayed in the Grades section of this Canvas shell. These will be as follows:

Results	Description
Satisfactory (S)	You will receive this interim result when you meet all of the following criteria: You have submitted your assessment by the due date and time. You have attended the required minimum attendance for this course. You have met all the assessment requirements, and your Trainer/Assessor deems that you have satisfactorily completed the assessment.
Not Yet Satisfactory (NYS)	You will receive this interim result when you meet one or more of the following criteria: You have not attended the required minimum attendance for this course. You have not met one or more of the assessment requirements, and your Trainer/Assessor deems that you have not satisfactorily completed the assessment.
Did Not Submit (DNS)	You will receive this result when you have not submitted your assessment by the due date or time. Your Trainer/Assessor, the Program Coordinator or the Program Manager cannot overturn this interim result. An approved Special Consideration is required to allow further opportunities to complete the assessment. Additionally, moderation panels cannot overturn this result either.

 

Note: You must achieve a Satisfactory (S) result for every assessment in this course in order to pass.

 

Interim results will inform the moderation panel of their decision as to whether or not you are deemed competent and can pass the course. Your final and official result will be published via My Results on RMIT's website. It is your responsibility to check your final results. Your Trainer/Assessor, the Program Coordinator or the Program Manager will not inform you of your final result.

 

Resubmission Policy:

After you submit your assessment, your Trainer/Assessor will review your submission. If you have met all the requirements of the assessment task, you will receive an S result in your Grades section of this course.

 

If the Trainer/Assessor determines that you have not met the assessment requirements, you will receive an NYS result in the Grades section. In this case, your Trainer/Assessor will provide you with the following opportunities to resubmit:

• Project/Practical-Based Assessment Task: One Resubmission per assessment.
• Knowledge-Based Assessment Task (Tests): Two Resubmissions per assessment

Important: If you do not submit an assessment by its due date or time, you are not entitled to a resubmission. You will only receive an opportunity to submit an assessment that you have failed to submit on time if you provide an approved Special Consideration. Your Trainer/Assessor, Program Coordinator & Program Manager or the Moderation panel cannot overturn a DNS result without approved Special Consideration.

 

*Resubmissions cannot be accepted via email or as attachments to the comments of another assessment. Any work submitted in this manner will not be accepted or recognised, regardless of the circumstances. All resubmissions must be uploaded via the original submission folder and by the due date and time set by the Trainer/Assessor.

 

**Your Trainer/Assessor, Program Coordinator or Program Manager cannot issue further resubmission opportunities beyond those stated here. You will only be provided with further opportunities based on the successful application for Special Consideration or upon the course moderation panel's review and decision at the course's end.

 

Attendance:

You are required to attend a minimum of 85% of your classes. If you miss classes, you will need to provide a medical certificate to your Trainer/Assessor for classes that result in you not meeting the 85% requirement.

 

If you fail to attend the minimum required classes and engage in each class, your trainer/assessor will not accept your assessment submissions. You will be required to attend an in-person interview with your trainer/assessor at a time determined by them. Failure to attend this interview will result in your assessment being rejected. Additionally, the trainer/assessor reserves the right to reject your assessment based on the interview's outcome. This is required to ensure RMIT meets the Standards set for RTOs to ensure the validity of your work.

Course Overview: Access Course Overview