Courses & Units
3D Spatial Data Capture and Analytics KGG301
Introduction
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.
Summary
| Unit name | 3D Spatial Data Capture and Analytics |
|---|---|
| Unit code | KGG301 |
| Credit points | 12.5 |
| College/School | College of Sciences and Engineering School of Geography, Planning, and Spatial Sciences |
| Discipline | Geography, Planning, and Spatial Sciences |
| Coordinator | Doctor Steve Harwin |
| Available as an elective? | Yes |
| Delivered By | University of Tasmania |
Availability
| Location | Study period | Attendance options | Available to | ||
|---|---|---|---|---|---|
| Hobart | Semester 1 | On-Campus | International | Domestic | |
Key
- On-campus
- Off-Campus
- International students
- Domestic students
Note
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Key Dates
| Study Period | Start date | Census date | WW date | End date |
|---|---|---|---|---|
| Semester 1 | 26/2/2024 | 22/3/2024 | 15/4/2024 | 2/6/2024 |
* The Final WW Date is the final date from which you can withdraw from the unit without academic penalty, however you will still incur a financial liability (refer to How do I withdraw from a unit? for more information).
Unit census dates currently displaying for 2024 are indicative and subject to change. Finalised census dates for 2024 will be available from the 1st October 2023. Note census date cutoff is 11.59pm AEST (AEDT during October to March).
Learning Outcomes
- 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.
- Apply spatial referencing, co-registration, and feature detection techniques using specialised software tools to process, analyse, and visualise 3D datasets.
- Critically assess the accuracy, quality, and limitations of 3D datasets and derived products.
Fee Information
| Field of Education | Commencing Student Contribution 1,3 | Grandfathered Student Contribution 1,3 | Approved Pathway Course Student Contribution 2,3 | Domestic Full Fee 4 |
|---|---|---|---|---|
| 031199 | $1,118.00 | $1,118.00 | not applicable | $3,085.00 |
1 Please refer to more information on student contribution amounts.
2 Please refer to more information on eligibility and Approved Pathway courses.
3 Please refer to more information on eligibility for HECS-HELP.
4 Please refer to more information on eligibility for FEE-HELP.
If you have any questions in relation to the fees, please contact UConnect or more information is available on StudyAssist.
Please note: international students should refer to What is an indicative Fee? to get an indicative course cost.
Requisites
Prerequisites
KGG102Mutual Exclusions
You cannot enrol in this unit as well as the following:
KGG330/KGG544Teaching
| Teaching Pattern | Approximately 60-minute weekly online pre-recorded content 60-minute weekly online seminar 180-minute weekly practical consisting of both field- and lab-work |
|---|---|
| Assessment | Data collection (30%)|Data collection plan (30%)|Data processing (40%) |
| Timetable | View the lecture timetable | View the full unit timetable |
Textbooks
| Required |
Required readings will be listed in the unit outline prior to the start of classes. |
Links | Booktopia textbook finder |
|---|
The University reserves the right to amend or remove courses and unit availabilities, as appropriate.