Courses & Units

Remote Sensing: Image Analysis KGG213

Hobart

Note:

Introduction

This unit builds on the theory and skills of KGG103 Remote Sensing: Introduction and focuses on advanced aspects of remotely sensed image analysis. These additional remote sensing analysis skills are highly valued by employers in the spatial 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, hyperspectral, and RADAR imagery, and LiDAR data. Computer practicals and an independent project promote practical remote sensing skills in the latest image processing software. 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: Image Analysis
Unit code KGG213
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

Dr A Lucieer

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

Availability

Location Study period Attendance options Available to
Hobart Semester 2 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 2 12/7/2021 10/8/2021 30/8/2021 17/10/2021

* 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

Learning Outcomes

1

Apply remote sensing datasets, concepts and techniques to solve real-world spatial problems.

2

Apply image analysis software to extract quantitative and thematic information from an image.

3

Communicate perspectives and knowledge in remote sensing and spatial sciences to specialist and non-specialist audiences using written, oral, cartographic, and other visual means.

Fees

Field of Education Commencing Student Contribution 1 Grandfathered Student Contribution 1 Approved Pathway Course Student Contribution 2 Domestic Full Fee
031101 $993.00 $993.00 not applicable $2,798.00

1 Please refer here more information on student contribution amounts.
2 Information on eligibility and Approved Pathway courses can be found here
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 this page to get an indicative course cost.

Requisites

Prerequisites

Co-requisites

Mutual Exclusions

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

KGG543

Teaching

Teaching Pattern

2 x 1-hr lectures weekly, 13 x 3-hr lab classes

Assessment

AT1 - Assignment (30%)

AT2 - Project (30%)

AT3 -  Short answer questions  (40%)

TimetableView the lecture timetable | View the full unit timetable

Textbooks

Required

Recommended

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