Unit Outline

The acquisition of 3D data has become increasingly important for a range of industries such as surveying, mapping, engineering, and environmental monitoring. This unit will provide you with an understanding of the sensors, instruments, and platforms used for 3D data capture, including photogrammetry and laser scanning. You will learn the principles behind these technologies and how they are used to create 3D geospatial models to describe real-world objects and environments. You will also develop skills to collect 3D data with a range of modern instruments. Specifically, you will learn skills such as:
- Planning and executing 3D data capture missions with a range of sensors and platforms.
- Processing (including spatial referencing, co-registration, and feature detection), analysing and visualising 3D data using specialised software tools.
- Evaluating the accuracy and quality of 3D data products.

By the end of the unit, you will have gained practical experience in the use of 3D data capture technologies, be able to apply this knowledge to real-world problems, and present that data effectively through the production of actionable information.

Intended Learning Outcomes

As per the Assessment and Results Policy 1.3, your results will reflect your achievement against specified learning outcomes.

On completion of this unit, you will be able to:


1.	Design, plan, and execute the collection of 3D geospatial data by selecting appropriate sensors, instruments, and platforms to meet specific project requirements and industry standards.
2.	Apply spatial referencing, co-registration, and feature detection techniques using specialised software tools to process, analyse, and visualise 3D datasets.
3.	Critically assess the accuracy, quality, and limitations of 3D datasets and derived products.

Requisites


REQUISITE TYPE	REQUISITES
Pre-requisite	KGG102
Anti-requisite (mutual excl)	KGG330/KGG544

Alterations as a result of student feedback

How will I be Assessed?

For more detailed assessment information please see MyLO.

Assessment schedule


ASSESSMENT TASK #	ASSESSMENT TASK NAME	DATE DUE	WEIGHT	LINKS TO INTENDED LEARNING OUTCOMES
Assessment Task 1:	Data collection plan	Week 6	30 %	LO1, LO2, LO3
Assessment Task 2:	Data collection	Week 9	30 %	LO1, LO3
Assessment Task 3:	Data processing	Week 13	40 %	LO2, LO3

Assessment details

Assessment Task 1: Data collection plan

Task Description:

Develop a data collection plan for mapping the inside and outside of a building or a chosen object using a given budget, time constraints, and available instruments, while considering factors such as accuracy, occlusion, and point density.

Task Length:

1500 words

Due Date:

Week 6

Weight:

30 %

CRITERION #

CRITERION

MEASURES INTENDED

LEARNING OUTCOME(S)


1	Select and justify appropriate technologies and methods to meet the project requirements and constraints.	LO1
2	Evaluate and discuss the trade-offs related to accuracy, occlusion, and point density in the chosen data collection plan.	LO3
3	Outline the spatial referencing and co-registration techniques planned for the subsequent processing stage.	LO2

Assessment Task 2: Data collection

Task Description:

Execute a data collection survey of the inside and outside of a building (or a chosen object) using one or two selected technologies, adhering to the devised data collection plan.

Task Length:

1500 words

Due Date:

Week 9

Weight:

30 %

CRITERION #

CRITERION

MEASURES INTENDED

LEARNING OUTCOME(S)


1	Demonstrate the correct use of the selected technologies for data collection.	LO1
2	Produce a comprehensive dataset that adheres to the accuracy, occlusion, and point density requirements established in the data collection plan.	LO1
3	Report on the data collection process, challenges encountered, and any deviations from the original plan, using discipline-specific communication.	LO3

Assessment Task 3: Data processing

Task Description:

Process collected data from your data capture survey in assignment 2 by applying spatial referencing and co-registration techniques. Extract relevant information from your dataset to create a detailed map and model of the interior and exterior of a building or your chosen object. Provide a description of the output as you would if you were providing the data to a client.

Task Length:

Approximately 5-7 pages, including a description of your dataset and at least two maps and two models (one each of the interior and the exterior of your target building or multiple views of your target object).

Due Date:

Week 13

Weight:

40 %

CRITERION #

CRITERION

MEASURES INTENDED

LEARNING OUTCOME(S)


1	Apply appropriate spatial referencing, co-registration, and feature detection techniques using specialised software tools to process the collected datasets.	LO2
2	Accurately extract relevant information and features from the processed datasets to create a detailed map of the building's interior and exterior.	LO2
3	Evaluate the accuracy, quality, and limitations of the final map and discuss potential improvements for future data collection and processing workflows.	LO3

How your final result is determined

To pass this unit, you need to demonstrate your attainment of each of the Intended Learning Outcomes, achieve a final unit grade of 50% or greater, and pass any hurdle tasks.

Submission of assignments

Where practicable, assignments should be submitted to an assignment submission folder in MYLO. You must submit assignments by the due date or receive a penalty (unless an extension of time has been approved by the Unit Coordinator). Students submitting any assignment in hard copy, or because of a practicum finalisation, must attach a student cover sheet and signed declaration for the submission to be accepted for marking.

Requests for extensions

If you are unable to submit an assessment task by the due date, you should apply for an extension.

A request for an extension should first be discussed with your Unit Coordinator or teaching support team where possible. A request for an extension must be submitted by the assessment due date, except where you can provide evidence it was not possible to do so. Typically, an application for an extension will be supported by documentary evidence: however, where it is not possible for you to provide evidence please contact your Unit Coordinator.

The Unit Coordinator must notify you of the outcome of an extension request within 3 working days of receiving the request.

Late penalties

Assignments submitted after the deadline will receive a late penalty of 5% of the original available mark for each calendar day (or part day) that the assignment is late. Late submissions will not be accepted more than 10 calendar days after the due date, or after assignments have been returned to other students on a scheduled date, whichever occurs first. Further information on Late Penalties can be found on the Assessments and Results Procedure.

Review of results and appeals

You are entitled to ask for a review of the marking and grading of your assessment task if there is an irregularity in the marking standards or an error in the process for determining the outcome of an assessment. Details on how to request a review of a mark for an assignment are outlined in the Review and Appeal of Academic Decisions Procedure.

Required Resources

Required reading materials