Courses & Units

Remote Sensing: Introduction KGG103

Introduction

Satellite images and aerial photographs are used to observe the earth and its atmosphere. These images are used for mapping and monitoring our natural and human environment. Remote sensing is an exciting field that is constantly changing with regular launches of new satellites carrying state-of-the-art sensors. The resulting images are used in a huge range of fields, such as climate change studies, glaciology, vegetation studies, oceanography, forestry, urban studies and environmental management. This unit introduces you to the basics of remote sensing, starting with the physics of light and its interaction with the atmosphere and Earth surface. We will cover the technical and practical characteristics of a range of satellite and airborne sensors. You will work with satellite images in weekly computer practicals. These sessions will give you skills to display and analyse remotely sensed imagery and extract useful information from these images. This unit provides important scientific and professional skills for students who are interested in geography, environmental science, earth sciences, agricultural science, plant science, computing and information systems, and marine and Antarctic studies. Computer skills will be indispensable for almost all positions in geoscience, and students who have acquired experience in data analysis, digital mapping, remote sensing, GPS and geographical information systems (GIS) will be best prepared to enter the job market.

Summary

Unit name Remote Sensing: Introduction
Unit code KGG103
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 Doctor Bethany Melville
Teaching staff Professor Arko Lucieer
Available as an elective? Yes
Delivered By University of Tasmania
Level Introductory

Availability

Location Study period Attendance options Available to
Hobart Semester 2 On-Campus International Domestic

Key

On-campus
Off-Campus
International students
Domestic students

Key Dates

Study Period Start date Census date WW date End date
Semester 2 11/7/2022 9/8/2022 29/8/2022 16/10/2022

* 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 (refer to How do I withdraw from a unit? 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. Note census date cutoff is 11.59pm AEST (AEDT during October to March).

About Census Dates

Learning Outcomes

  • Explain the nature of electromagnetic energy to inform analysis and interpretation of remote sensing datasets
  • Solve spatially-oriented problems of an environmental and social nature using remote sensing datasets and analysis techniques
  • Use image analysis software to generate standard spatial products
  • Communicate perspectives and knowledge in remote sensing and spatial sciences to specialist and non-specialist audiences using written, oral, cartographic, and other visual means

Fee Information

Field of Education Commencing Student Contribution 1,3 Grandfathered Student Contribution 1,3 Approved Pathway Course Student Contribution 2,3 Domestic Full Fee 4
031199 $1,002.00 $1,002.00 not applicable $2,798.00

1 Please refer to more information on student contribution amounts.
2 Please refer to more information on eligibility and Approved Pathway courses.
3 Please refer to more information on eligibility for HECS-HELP.
4 Please refer to more information on 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 What is an indicative Fee? to get an indicative course cost.

Teaching

Teaching Pattern

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

AssessmentAssignment 1 (20%)|Assignment 2 (40%)|Assignment 3 (40%)
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

LinksBooktopia textbook finder

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