Remote Sensing: From Data to Information unit (KGG213)

Introduction

This unit builds on the theory and skills of KGG103 Remote Sensing: observing the Earth from above, and focuses on advanced aspects of remotely sensed image analysis that turn raw remote sensing data into valuable information. These additional remote sensing analysis skills are highly valued by employers in the geospatial industry. The unit will provide you with practical skills in image analysis techniques, such as geometric and atmospheric image correction, image filters, texture measures, image enhancements and transformations, classification algorithms, object-based image analysis, change detection, and accuracy assessment. The theory is illustrated with a range of real-world applications using optical, multispectral, hyperspectral, and LiDAR data. Computer practicals and an independent project (in pairs) promote practical remote sensing skills using the latest image processing tools. The unit is likely to be of interest to students in geography, environmental studies, earth sciences, plant science, zoology, agricultural science, computing and information systems, archaeology, and engineering who want to enhance their remote sensing knowledge and professional skills.

Summary

Unit name	Remote Sensing: From Data to Information
Unit code	KGG213
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	Intermediate

Availability

Specific information on 2027 unit availability will be available in August

Learning Outcomes

• Explain image analysis techniques to inform the interpretation and enhancement of remote sensing datasets.
• Apply analysis techniques on remote sensing datasets to solve environmental and social problems that require spatial solutions
• Operate remote sensing software to produce enhanced spatial information from basic datasets

Fee Information

2027 fee information will be available in August.

Requisites

Prerequisites

KGG103

Teaching

Teaching Pattern	12 x 1-hr seminars, 12 x 1-hr prerecorded lecture content, 12 x 3-hr practicals, and 3-hr+ independent learning per semester, delivered weekly. Seminars and practical introductions will be simultaneously offered on campus and on Zoom and recorded and made available on MyLO.
Assessment	Assignment 1: Practicals 1 - 4 (30%)|Assignment 2: Practicals 5 - 7 (30%)|Assignment 3: Project (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.
Recommended	We will be using chapters from the Earth Observation Australia (EOA) texbooks: https://www.eoa.org.au/earth-observation-textbooks We will also refer to other readings in the weekly MyLO pages.

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