38/42:353 Intro Remote Sensing

Instructor: Lecture, Dr. Dion J. Wiseman
Office: Brodie Room 4-07
Office Hours: Monday, Wednesday, Friday; 9:00 – 10:00 AM; or by Appointment
Phone: 727-9774
Email: wiseman@brandonu.ca

*Texts on Reserve in Library:

  1. *Lillesand, Thomas M.; Kiefer, Ralph W.; and Chipman, Jonathon (2008) Remote Sensing and Image Interpretation, 6th New York: John Wiley and Sons.
  2. *Avery, Thomas E. and Berlin, Graydon L. (1992) Fundamentals of Remote Sensing and Airphoto Interpretation, Upper Saddle River, New Jersey: Prentice Hall.
  3. Paine, David P. (1981) Aerial Photography and Image Interpretation for Resource Management. New York: John Wiley and Sons.
  4. Wolf, Paul R. and DeWitt, Bon A. (2000) Elements of Photogrammetry: with applications in GIS, 3rd Boston: McGraw-Hill.

Course Description

The intent of this course is to: 1) introduce the theoretical foundations of remote sensing and 2) provide the technical expertise required to extract qualitative and quantitative information from remotely sensed imagery.  The course is divided into three complimentary sections. The first is an introduction to the founding principles and basic elements of a remote sensing system, the second focuses on aerial photographic systems, air photo interpretation, and photogrammetric techniques; and the third introduces students to UAV/RPAS systems, digital multispectral imagery, and computer assisted image analysis techniques.

The laboratory component of the course will be divided into two sections.  The first (» 60%) will focus on aerial photography, air photo interpretation, and photogrammetric techniques.  Labs for this section will be due at the end of each lab period; no credit will be given for late assignments unless prior arrangements are made.  This section will conclude with a timed lab exam. The second section (» 40%) will introduce computer assisted, softcopy photogrammetric and image analysis techniques commonly used for the extraction of thematic map information and spectral/object-based image classification.  Relevant techniques will be demonstrated during lab period and each student will complete a practical assignment normally due at the beginning of the following week’s lab period.

Grading Scheme

Midterm 20/30%* > 90% A+ 70-72% B-
Final 20/30%* 85-89% A 67-69% C+
Labs 35% 80-84% A- 63-66% C
Lab Exam 15% 77-79% B+ 60-62% C-
Bonus (optional) 3% 73-76% B 50-59% D
Total 100% * variably weighted < 50% F

Tentative Course Outline

(follow links below to access lecture notes, access recorded lectures here)

1) Fundamentals of Remote Sensing (Lab 1)

a) Elements of a RS System

b) The Nature of EMR

c) EMR-Matter Interactions

2) Elements of Photo Interpretation (Lab 2)

a) Interpretation Process

b) Key Diagnostic Characteristics

3) Principles Photographic & Digital Imaging Systems (Colour)

a) History of Aerial Photography

b) Adv. of Aerial Photography

c) Principles of Photography

d) Films, Filters, Aerial Cameras

e) Resolving Power and Photo Resolution

4) Photo Scale and Image Resolution (Colour) (Lab 3)

a) Types of Scale

b) Scale Determination

c) Photographic & Ground Resolution

5) Photogrammetry: Horizontal Measurements (Colour) (Lab 4)

a) Distances

b) Directions/Angles

c) Areas

6) Geometry of Aerial Photographs (Colour)

a) Types of Airphotos

b) Three Photo Centers

c) Distortion and Displacement


(Test Format) (Practice Test Questions)

7) Principles of Stereoscopic Vision (Lab 5.1) (Colour)

a) Parallax

b) Optical Equipment

c) Vertical Exaggeration

8) Photogrammetry: Vertical Measurements (Lab 5.2 & 6) (Colour)

a) Topographic Displacement

b) Shadow Method

c) Difference of Parallax

9) Introduction to RPAS (Lab 7)

a) What is a UAV? Drone? RPAS?

b) Types, Components, Sensors

c) Advantages & Disadvantages

d) Transport Canada Regulations

e) Photo Mission Planning (Demo)

f) Image Classification, Terrain Modeling, Feature Extraction (Demo)

10) Fundamentals of Digital Multispectral Systems

a) Platforms and Sensors

i)  UAV Platforms & Sensors

ii) LandSat Overview

iii) Free LandSat Imagery

b) Spectral Bands

c) Image Interpretation

d) Spectral Signatures

11) Digital Image Analysis

Tuesday March 24 Lecture

a) Image Pre-processing,

Tuesday March 31 Lecture

b) Image Classification

c) Accuracy Assessment

d) Object-based Classifications


Thursday April 2 Lecture

a) Advantages

b) Active vs. Passive Systems

c) Causes of Backscatter

d) Azimuth and Range Resolution


Tentative Lab Schedule

Date Lab # Topic Location
Jan 9 1 Introduction to Aerial Photography and Stereoscopic Viewing BB 3-47
Jan 16 2 Airphoto Interpretation and Key Diagnostics Characteristics BB 3-47
Jan 23 3 Measurement of Scale and More Photo Interpretation BB 3-47
Jan 30 4 Horizontal Measurements: Distances and Directions BB 3-47
Feb 6 5 Height Determination by Topographic Displacement BB 3-47
Feb 13 6a Height Determination by Shadow Length BB 3-47
Feb 20 NO LAB (Midterm Break)  
Feb 27 6b Height Determination by Parallax Measurement BB 3-47
Mar 5 Introduction to RPAS Technology BB 3-47
Mar 12 7

Image Classification: Training Field Selection

Link to Lab 7 Demo if You Missed Class

Download Lab
Mar 26 8

Image Classification: Training Field Evaluation & Separability

Thursday March 26th – Link to Lab 8 Demo

Download Lab
April 2 9

Image Classification: Supervised vs. Unsupervised Classification

Thursday April 2nd – Link to Lab 9 Demo

Download Lab

Useful Links

National Air Photo Library (NAPL)

Canada Centre for Remote Sensing (CCRS)

Download MultiSpec


CL-345-13Aug91 – Copy

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RMNP_MetaData – Copy

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