Simon Fraser University
Engaging the World

Course Outlines

Spring 2018 - GEOG 253 D100

Introduction to Remote Sensing (3)

Class Number: 3578

Delivery Method: In Person

Overview

  • Course Times + Location:

    Jan 3 – Apr 10, 2018: Fri, 12:30–2:20 p.m.
    Burnaby

  • Exam Times + Location:

    Apr 19, 2018
    Thu, 12:00–3:00 p.m.
    Burnaby

  • Prerequisites:

    GEOG 111.

Description

CALENDAR DESCRIPTION:

An introduction to the theory and practice of remote sensing, including the relevant physical processes, digital image processing and information extraction, and a review of remote sensing applications. Quantitative/Breadth-Science.

COURSE DETAILS:

Welcome to Introduction to Remote Sensing.  This course presents an introduction to the theory and practice of remote sensing including the relevant physical processes, digital image processing and information extraction, and a review of remote sensing applications.

Course organization:  
There will be one 2-hour lecture per week. Students will learn about and practice remote sensing techniques through formal lectures, student-oriented discussions, computer labs and individual assignments.  Data analysis software will be used to examine real world data from multiple sources. There will be a strong emphasis on problem-based and interactive learning. There will be one 2-hour lab session per week. The guided computer lab sessions will use sample data sets and software analysis to reinforce the theoretical concepts and methods presented in the class lectures. These labs will allow students to apply the remote sensing methods to a variety of data and problem contexts within geography.  The software is available in the SIS lab.

COURSE-LEVEL EDUCATIONAL GOALS:

On successful completion of this course, students should be able to:  
·         Explain the physical principles that apply to remotely sensed data
·         Design image collection strategies and perform simple pre-processing
·         Demonstrate knowledge of basic remote sensing field work
·         Develop competence in using software tools for digital image analysis
·         Apply the image analysis methods to a range of geography problems
·         Creatively design and implement remote sensing solutions for problem solving.

Grading

  • Lab assignments 35%
  • Midterm 25%
  • Final Exam 40%

Materials

RECOMMENDED READING:

Campbell, J.B. and Wynne, R.H. (2011). Introduction to Remote Sensing. 5th Edition. USA: Guilford Press.  ISBN: 9781609181765

Registrar Notes:

SFU’s Academic Integrity web site http://students.sfu.ca/academicintegrity.html is filled with information on what is meant by academic dishonesty, where you can find resources to help with your studies and the consequences of cheating.  Check out the site for more information and videos that help explain the issues in plain English.

Each student is responsible for his or her conduct as it affects the University community.  Academic dishonesty, in whatever form, is ultimately destructive of the values of the University. Furthermore, it is unfair and discouraging to the majority of students who pursue their studies honestly. Scholarly integrity is required of all members of the University. http://www.sfu.ca/policies/gazette/student/s10-01.html

ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS