3D Geospatial Data Capture and Analytics unit (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 Geospatial Data Capture and Analytics
Unit code	KGG301
Credit points	12.5
College/School	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
Level	Advanced

Availability

Specific information on 2027 unit availability will be available in August

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

2027 fee information will be available in August.

Requisites

Prerequisites

KGG102

Mutual Exclusions

You cannot enrol in this unit as well as the following:

KGG330/KGG544

Teaching

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 (15%)|Fieldwork Review (15%)|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.

The University reserves the right to amend or remove courses and unit availabilities, as appropriate.