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Hobart

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Introduction

This unit will provide you with high-level theoretical knowledge and practical skills in remote sensing image analysis techniques, such as geometric image correction, image filters, texture measures, vegetation indices, LiDAR point cloud filtering, classification algorithms, object-based image analysis, change detection, and accuracy assessment. The theory is illustrated with a range of real-world applications using optical, hyperspectral, and RADAR imagery, and LiDAR data. Computer practicals and an independent project promote practical remote sensing skills using the latest image processing software. 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 2024

Unit name Advanced Earth Observation
Unit code KGG543
Credit points 12.5
Faculty/School College of Sciences and Engineering
School of Geography, Planning, and Spatial Sciences
Discipline Geography, Planning, and Spatial Sciences
Coordinator

Teaching staff

Assoc Prof Arko Lucieer

Level Postgraduate
Available as student elective? Yes
Breadth Unit? No

Availability

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* 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 (see withdrawal dates explained for more information).

About Census Dates

Fees

Requisites

Prerequisites

Co-requisites

Mutual Exclusions

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

KGG213

Teaching

Teaching Pattern

2-hr lectures and 3-hr practicals weekly

Assessment

70% practicals & assignments , 30% exam

TimetableView the lecture timetable | View the full unit timetable

Textbooks

Required

Recommended

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