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
College/School College of Sciences and Engineering
School of Geography, Planning, and Spatial Sciences
Discipline Geography, Planning, and Spatial Sciences
Coordinator Professor Arko Lucieer
Available as student elective? Yes
Delivered By University of Tasmania
Level Intermediate

Availability

Location Study period Attendance options Available to
Hobart Semester 1 On-Campus International Domestic

Key

On-campus
Off-Campus
International students
Domestic students
Note

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Units are offered in attending mode unless otherwise indicated (that is attendance is required at the campus identified). A unit identified as offered by distance, that is there is no requirement for attendance, is identified with a nominal enrolment campus. A unit offered to both attending students and by distance from the same campus is identified as having both modes of study.

Key Dates

Study Period Start date Census date WW date End date
Semester 1 21/2/2022 22/3/2022 11/4/2022 29/5/2022

* 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).

Unit census dates currently displaying for 2022 are indicative and subject to change. Finalised census dates for 2022 will be available from the 1st October 2021.

About Census Dates

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
Field of Education Commencing Student Contribution 1 Grandfathered Student Contribution 1 Approved Pathway Course Student Contribution 2 Domestic Full Fee
031101 $1,002.00 $1,002.00 not applicable $2,798.00
  • Available as a Commonwealth Supported Place
  • HECS-HELP is available on this unit, depending on your eligibility3
  • FEE-HELP is available on this unit, depending on your eligibility4

1 Please refer here more information on student contribution amounts.
2 Information on eligibility and Approved Pathway courses can be found here
3 Please refer here for eligibility for HECS-HELP
4 Please refer here for eligibility for FEE-HELP

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

KGG103

Teaching

Teaching Pattern

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

AssessmentAssignment 4: multiple choice and case study (25%)|Assignment 3: Project (35%)|Assignment1: pracs 1 - 4 (20%)|Assignment2: pracs 5 - 7 (20%)
TimetableView 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

Jensen, J.R., 2014. Remote Sensing of the Environment: An Earth Resource Perspective, 2nd edition. Prentice Hall. https://www.booktopia.com.au/remote-sensing-of-the-environment-john-r-jensen/book/9781292021706.html•    Jensen, J.R., 2014. Remote Sensing of the Environment: An Earth Resource Perspective, 2nd edition. Prentice Hall. https://www.booktopia.com.au/remote-sensing-of-the-environment-john-r-jensen/book/9781292021706.html 

LinksBooktopia textbook finder

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