Course Title: Remote Sensing

Part A: Course Overview

Course Title: Remote Sensing

Credit Points: 12.00


Course Code

Campus

Career

School

Learning Mode

Teaching Period(s)

GEOM1009

City Campus

Undergraduate

145H Mathematical & Geospatial Sciences

Face-to-Face

Sem 1 2006,
Sem 1 2007,
Sem 1 2008,
Sem 1 2009,
Sem 1 2015

GEOM1009

City Campus

Undergraduate

171H School of Science

Face-to-Face

Sem 1 2017

GEOM2128

City Campus

Postgraduate

145H Mathematical & Geospatial Sciences

Face-to-Face

Sem 1 2006,
Sem 1 2007,
Sem 1 2008,
Sem 1 2009,
Sem 1 2015,
Sem 1 2016

GEOM2128

City Campus

Postgraduate

171H School of Science

Face-to-Face

Sem 1 2017

Course Coordinator: Dr. Simon Jones

Course Coordinator Phone: +61 3 9925 2419

Course Coordinator Email: Simon.Jones@rmit.edu.au


Pre-requisite Courses and Assumed Knowledge and Capabilities

None


Course Description

This course will introduce you to the fundamental principles and science of remote sensing. The course covers the basic concepts of electromagnetic radiation and its detection using remote sensing devices (active and passive). A typical satellite-based, passive remote sensing system will be explored in detail and as well as several common remote sensing applications. Basic image processing for natural resource assessments will also be explored via a series of practical classes.


Objectives/Learning Outcomes/Capability Development

On completion of this course you should be able to:

1. Explain the way in which electromagnetic radiation interacts with the earth’s atmosphere, the earth’s surface and the remote sensing system
2. List and describe the different types of sensors that are used to detect and record certain parts of the electromagnetic spectrum
3. Define the four fundamental resolutions of remote sensing and describe their interaction
4. Define and critically analyse spectral signatures and feature space plots
5. Analyse and interpret remotely sensed images
6. Extract and analyse spectral signatures and image classifications.
 


This course contributes to the development of the following Program Learning Outcomes in MC058 Master of Applied Science (Geospatial Science):

1.3 Identify and elaborate specialist bodies of knowledge in geospatial science.
2.1 Apply standard and advanced techniques to solve a range of measurement and data management problems.
2.2 Proficiently perform computations in two and three dimensions.
3.2 Interpret and critically analyse results and make informed judgments on the appropriateness of solutions.
3.3 Apply critical and analytical skills in a scientific and professional manner.
 


Overview of Learning Activities

The learning activities will consist of:

• Your attendance at lectures where course material will be presented and explained and topics illustrated with demonstrations and examples;
• Completion of assignment questions and practical work designed to give further practice in the application of theory and procedures and to give feedback on your progress and understanding;
• Completion of written assignments consisting of numerical and other problems requiring an integrated understanding of the subject matter; and
• Your commitment to private study, working through the course as presented in classes and learning materials, and gaining practice at solving conceptual and numerical problems.
       

There is a strong emphasis on developing specific skills in dealing with geospatial imagery in this course.  


Teacher Guided Hours: 36 per semester
Learner Directed Hours: 52 per semester


Overview of Learning Resources

You will be able to access a learning guide, course information and supplementary learning materials through Blackboard LMS and be provided with copies of additional materials in class. Lists of relevant references, resources in the library and freely accessible Internet sites will be provided. Students will also use laboratory equipment and computer software within the School during tutorial and assignment work.
There are no prescribed texts for this course. A recommended reading list will be provided.
A library subject guide is available at: http://rmit.libguides.com/geospatial.


Overview of Assessment

☒This course has no hurdle requirements.
Assessment tasks

• Exam (40%) (CLO: 1-6)
• Class test (10%) (CLO: 1, 2, 3)
• Practical exercises (50%) (CLO: 3, 4, 5, 6).