Advanced Earth Observation unit (KGG543)

Introduction

This unit builds on the theory and skills of KGG542 Environmental Remote Sensing A 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. Throughout the unit you will explore remote sensing research topics in the scientific literature that will prepare you for a research thesis. This unit is offered at the graduate level.

Summary

Unit name	Advanced Earth Observation
Unit code	KGG543
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
Delivered By	University of Tasmania
Level	Postgraduate

Availability

Specific information on 2027 unit availability will be available in August

Learning Outcomes

• Evaluate image analysis techniques to enhance the interpretation and classification of remote sensing datasets
• Develop remote sensing analysis workflows to solve environmental and social problems that require spatial solutions
• Operate remote sensing software to implement image analysis workflows that achieve client-driven outcomes

Fee Information

2027 fee information will be available in August.

Requisites

Prerequisites

KGG542

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: Practical Report #1 (30%)|Assignment 2: Practical Report #2 (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.