Course Title: Capture new spatial data
Part B: Course Detail
Teaching Period: Term1 2025
Course Code: GEOM5179C
Course Title: Capture new spatial data
School: 530T Built Environment and Sustainability
Campus: City Campus
Program: C5416 - Diploma of Surveying
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
Greg Patterson
Surveying & Spatial Educator
Building, Surveying & Land Management Built Environment & SustainabilityRMIT University
MELBOURNE 3001
Victoria, Australia
Email: gregory.patterson@rmit.edu.au
Work: +61 3 9925 9218
Mobile: 0400231518
Nominal Hours: 100
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 capture new spatial data to meet client specifications using a variety of data capture methodologies. This includes setting up and using specialist equipment and technologies to capture and manipulate spatial data including attributes, topological features and metadata and checking and validating the integrity and accuracy of results.
This course is suitable for skilled surveying technicians and skilled spatial information system (SIS) technicians who use a broad range of cognitive, technical and communication skills to select and apply methods and technologies to analyse information and provide solutions to sometimes complex surveying/spatial information problems.
National Codes, Titles, Elements and Performance Criteria
National Element Code & Title: |
CPPSSI5032 Capture new spatial data |
Element: |
1. Prepare for data collection |
Performance Criteria: |
1.1 Review project and client specifications and schedule key activities and timelines according to organisational requirements. 1.2 Review and comply with administrative and legislative requirements for data collection according to organisational requirements. 1.3 Select equipment and technologies required to capture spatial data according to project specifications. 1.4 Implement safe work practices when operating equipment and collecting data according to organisational requirements. |
Element: |
2. Gather spatial data |
Performance Criteria: |
2.1 Set up and operate equipment and technologies according to manufacturer specifications. 2.2 Collect data and attributes and relate data to a reference system according to project specifications. 2.3 Manage and manipulate spatial data, including attributes and topological structures, using relevant technologies. 2.4 Apply industry-accepted methods for assessing the validity and integrity of spatial data. 2.5 Identify, record and report discrepancies between specifications and collected data. 2.6 Document metadata according to industry-accepted standards and organisational requirements. |
Element: |
3. Finalise collection process |
Performance Criteria: |
1.1 Review project and client specifications and schedule key activities and timelines according to organisational requirements. 1.2 Review and comply with administrative and legislative requirements for data collection according to organisational requirements. 1.3 Select equipment and technologies required to capture spatial data according to project specifications. 1.4 Implement safe work practices when operating equipment and collecting data according to organisational requirements. |
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
You will learn to:
- Plan surveying operations
- Carry out field-based activities
- Perform quality assurance checks during field operations
- Complete documentation and finalise project requirements
The total number of scheduled hours for teaching, learning, and assessment in this course encompasses all planned activities, including face-to-face classes, lectures, workshops, seminars, workplace visits, online learning, and other structured learning formats. It also includes the time required to undertake, assess, and complete all assessment tasks, observe work performance, and participate in discussions.
Teaching Schedule
Capture new spatial data (2505)
Session/Date |
Theme |
Assessments/ Activity |
|
10 - 16 February |
Welcome and course overview In this session you will be introduced to the assessment requirements including spatial data and identify methods that can be implemented to capture these features |
Assessment 1 Released |
|
17 - 23 February |
Introduction to Risk Management In this session you will be introduced to risk management. This will include strategy; policies and procedures; Legislation; codes of practice and national standards. |
|
|
24 Feburary-2 March |
Introduction to Data Capture methodology and validation methods In this session you will be introduced to different methods for capturing and validating spatial data and attribute information. This will include requirements for obtaining additional datasets, purpose / uses for capturing data, methods for validating, managing and manipulating spatial datasets including attributes and topological structures, documents used for recording asset information and converting attribute information from CSV files into spatial information |
|
|
3 - 9 March |
Introduction to spatial data and handheld GNSS equipment In this session you will be introduced to GNSS equipment and associated software. This will include setting up instruments, satellite information, digital vector dataset types and formats, raster imagery and discrepancies between specifications and collected data
|
|
|
10 - 16 March |
Capture Assets and Document Metadata 10th of March Labour Day public holiday (Monday)
|
|
|
17 - 23 March |
Validate datasets In this session, you will validate information within a spreadsheet. This will involve converting information from a spreadsheet into a google earth file |
|
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24 - 30 March |
Assessment 1: Project Initiation In this session you will meet the client where you will discuss and acknowledge all project requirements. This will involve a visit to the project area where you will be required to complete the Job Safety Analysis Sheet 31 March 2025 (Monday) Semester 1 Census Date |
Assessment 1: Project Initiation |
|
31 March - 6 April |
Assessment 1: Project Execution In this session you will collect assets using GNSS/GPS software. complete the data collection sheet, validating the collected data using the data validation sheet and completing the Metadata statement. |
Assessment 1: Project Introduction and Execution |
|
7 - 13 April |
Assessment 1: Project Finalisation In this session you will check and update all documentation, complete the knowledge questions and submit all requirements onto canvas |
Assessment 1: Project Finalisation Assessment 1 Due: 13 April 2025 |
|
14 - 17 April |
Introduction to Assessment 2 In this session you will be introduced to assessment 2 requirements and discuss outcomes for assessment 1 |
Assessment 2 Released |
|
Mid-semester break 18 - 25 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 |
|
|
29 April - 5 May |
Introduction to Data Capture methodology In this session you will identify different methods that could be implemented for capturing spatial data and attribute information. This will include documents used for recording asset information, converting attribute information into different formats and using the equipment to capture assets. |
|
|
5 - 11 May |
Introduction to Data Capture methodology (Continued) In this session you will identify different methods that could be implemented for capturing spatial data and attribute information. This will include documents used for recording asset information, converting attribute information into different formats and using the equipment to capture assets. |
|
|
12 - 18 May |
Assessment 2: Project Initiation In this session you will meet the client where you will discuss and acknowledge all project requirements. This will involve a visit to the project area where you will be required to complete the Job Safety Analysis Sheet and determine appropriate hardware and software requirements |
Assessment 2: Project Initiation |
|
19 - 25 May
|
Assessment 2: Project Execution In this session you will collect and validate required assets using GNSS equipment and data collection sheet as per project requirements |
Assessment 2: Project Execution |
|
26 May - 1 June |
Assessment 2: Project Execution (Continued) In this session you will continue to collect and validate required assets using GNSS equipment and data collection sheet as per project requirements. You will also complete the metadata statement for the datasets that you have captured |
Assessment 2: Project Execution (Continued) |
|
02 - 08 June |
Assessment 2: Project Finalisation In this session you will check and update all documentation, complete the knowledge questions and submit all requirements onto canvas |
Assessment 2: Project Finalisation Assessment Due: 08 June 2025 |
|
09 - 15 June |
Revision and feedback on work completed King's Birthday public holiday 09 Jun |
|
|
16 - 22 June |
Assessment marking and finalising results | |
|
Official Results Release Date. 3 July |
Important: It is your responsibility to check your results on this date. Your official results for this course will be released on this date. Your teacher will not inform you of your final result. It will only be available via My Student Record on RMIT's website. It is not your Trainer/Assessors responsibility to let you know your final result. Your teacher will not be available to comment on your assessment or final results from 23 June - 2 July 2025. After this date, you can contact them to talk about your final result if you need it. |
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
Accessed Via the RMIT Library Link:
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 Name |
Description |
Release Date |
Due Date |
Assessment 1: Asset data collection – Business Geolocation |
In this assessment you will use GNSS to geocode business locations |
10 Feb 2025 |
13 April 2025 |
| Assessment 2: Asset data collection – Park assets | In this assessment you will use GNSS to geocode park furniture assets | 14 April 2025 |
08 June 2025 |
Assessment Matrix
Mapping Assessments to the Unit of Competency – Instructions
Element |
Performance criteria |
|
|
|
|
AT1 Asset data collection –Business Geolocation |
AT2 Asset data collection – Park assets |
|
1. Prepare for data collection.
|
1.1. Review project and client specifications and schedule key activities and timelines according to organisational requirements. |
A1 |
A1 |
1.2. Review and comply with administrative and legislative requirements for data collection according to organisational requirements. |
A3 |
A3 |
|
1.3. Select equipment and technologies required to capture spatial data according to project specifications. |
A2, A6 |
A2, A6 |
|
1.4. Implement safe work practices when operating equipment and collecting data according to organisational requirements. |
A4, A5 |
A4, A5 |
|
2. Gather spatial data |
2.1. Set up and operate equipment and technologies according to manufacturer specifications. |
A6 |
A6 |
2.2 Collect data and attributes and relate data to a reference system according to project specifications. |
A7 |
A7 |
|
2.3. Manage and manipulate spatial data, including attributes and topological structures, using relevant technologies. |
A8 |
A8 |
|
2.4. Apply industry-accepted methods for assessing the validity and integrity of spatial data. |
A9 |
A9 |
|
2.5. Identify, record and report discrepancies between specifications and collected data. |
A9 |
A9 |
|
2.6. Document metadata according to industry-accepted standards and organisational requirements. |
A10 |
A10 |
|
|
3. Finalise collection process.
|
3.1. Record data correctly and complete documentation according to project specifications and organisational requirements. |
A7 |
A7 |
3.2. Check and validate data integrity and accuracy according to project specifications. |
A9, Q3 |
A9, Q3 |
|
3.3. Store data and documentation according to organisational and licensing requirements. |
A11 |
A11 |
Foundation Skills |
Foundation skills essential to performance are explicit in the performance criteria of this unit of competency. |
Performance Evidence | ||
A person demonstrating competency in this unit must satisfy the requirements below |
AT1 Asset data collection –Business Geolocation |
AT2 Asset data collection – Park assets |
To demonstrate competency a candidate must meet the elements and performance criteria of this unit by capturing new spatial data that accurately and precisely collects and records spatial data that meets client specifications for two different projects. Each project must: | ||
|
Use two of the following pieces of equipment: · data logger or other mobile computing device · global navigation satellite system (GNSS)
· laser scanner, · digital level, · sonar, · total station, · unmanned aerial vehicle (UAV) |
A2, A6 |
A2, A6 |
|
Use two of the following data capture methodologies: · conversion or translation from existing information, including hard copy or digital · data logging, including GNSS · remote sensing
· photogrammetry, · laser scanning, · sonar, · tacheometry. |
A2, A6, A9 |
A2, A6, A9 |
Knowledge Evidence | ||
To be competent in this unit a candidate must demonstrate knowledge of: |
AT1 Asset data collection –Business Geolocation |
AT2 Asset data collection – Park assets |
Purpose and uses of data capture technologies and equipment |
Q1 |
Q1 |
Methods for validating the integrity of spatial data |
Q2 |
Q2 |
Methods for manipulating spatial data using software |
Q3 |
Q3 |
|
legislative requirements for accessing and storing spatial data, including data privacy, copyright and licensing.
|
Q4 A10, A11 |
Q4 A10, A11 |
Assessment conditions |
Describe how assessments meet the assessment conditions |
Assessors must satisfy 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 workspace environment. Assessors to have appropriate industry experience and knowledge. Students have access to computers with the latest GIS software packages during scheduled class times that comply with current industry practices. |
Candidates must have access to: | |
Computer with software appropriate for spatial data management |
All labs have the appropriate computers, printers and software installed Students will be provided home use for ArcGIS Pro Students will be allocated appropriate storage media |
Organisational procedures relating to data privacy, copyright and licensing. |
Students will be provided documentation relating to data privacy, copyright and/or licensing as part of the training. The student will be identifying the location as part of the assessment requirements. |
Other Information
Attendance Requirement - 85% for all students.
Resubmission Policy:
To pass this course, students must achieve a Satisfactory (S) result for all their Assessments (and parts of those assessments).
Students who do not achieve a Satisfactory (S) result for their entire original submission for an Assessment will be provided with 1 (one) more submission opportunity (e.g. the resubmission) with a specific due date by their assessor. Students must achieve a Satisfactory (S) result on their resubmission for that Assessment, by the due date given to them by their Assessor.
Students who fail to submit their assessment by the due date will be issued a DNS (Did Not Submit) result which will not be overturned by teaching or managing staff. A DNS result will be overturned based on an approved Extension of Time or approved Special Consideration.
To be deemed Competency Achieved, students must achieve a satisfactory result in all assessment tasks. Students who fail to receive a Satisfactory result on all assessment tasks and have exhausted their resubmissions, extension of time applications, special consideration applications or Equitable Learning Plan provisions will be deemed as Not Yet Competent.
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 the following link for more information about Credit Transfer and/or
http://www.rmit.edu.au/students/enrolment/credit
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 the following link for more information about study and learning support:
http://www.rmit.edu.au/studyandlearningcentre
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 the following link for more information about equitable learning services:
https://www.rmit.edu.au/students/support-and-facilities/student-support/equitable-learning-services
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 lodgement 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 to the following link for more information about special considerations:
http://www.rmit.edu.au/students/specialconsideration
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 the following link for more information about plagiarism:
www.rmit.edu.au/academicintegrity
All email communications will be sent to your RMIT email address, and you must regularly check your RMIT emails.
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