38/42:353 Remote Sensing
Instructor: Lecture, Dr. Dion J. Wiseman
Office: Brodie Room 4-07
Office Hours: M, W, F; 11:00 am – 12:00 pm via Zoom; or by Appointment
Phone/Text: (204) 727-9774
Course Website: https://people.brandonu.ca/wiseman/courses/remote-sensing/
Optional Texts: all on reserve in the main library.
- Lillesand, Thomas M.; Kiefer, Ralph W.; and Chipman, Jonathon (2008) Remote Sensing and Image Interpretation, 6th New York: John Wiley and Sons.
- Avery, Thomas E. and Berlin, Graydon L. (1992) Fundamentals of Remote Sensing and Airphoto Interpretation, Upper Saddle River, New Jersey: Prentice Hall.
- Paine, David P. (1981) Aerial Photography and Image Interpretation for Resource Management. New York: John Wiley and Sons.
- Wolf, Paul R. and DeWitt, Bon A. (2000) Elements of Photogrammetry: with applications in GIS, 3rd Boston: McGraw-Hill.
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 complete remote sensing system, the second focuses on photographic systems, airphoto interpretation, and photogrammetric techniques; and the third introduces students to UAV systems, digital multispectral imagery, and computer assisted image analysis techniques.
The laboratory component of the course will be divided into two sections. The first will focus on aerial photography, image interpretation, and hard/soft-copy photogrammetric techniques. The second section will introduce computer assisted image analysis techniques commonly used for the extraction of thematic map information and spectral/object-based image classification. Relevant techniques will be demonstrated during class time and each student will complete a practical assignment normally due at the beginning of the following lab period. This section of the course will culminate in the submission of a multipart lab project.
|* variably weighted||< 50%||F|
Tentative Course Outline
- Fundamentals of Remote Sensing
- History of Remote Sensing
- Advantages of Remote Sensing
- Elements of a RS System
- The Nature of EMR
- EMR-Matter Interactions
- Elements of Photo Interpretation
- Interpretation Process
- Key Diagnostic Characteristics
- Principles Photographic & Digital Imaging Systems
- Principles of Photography
- Additive and Subtractive Colour Theory
- Films, Filters, Aerial Cameras
- Photo and Image Resolution
- Scale and Horizontal Measurements
- Types of Scale
- Scale Determination
- Measuring Distances, Directions, and Areas
- Geometry of Aerial Photographs
- Types of Areal Photographs
- Three Photo Centers
- Distortion and Displacement
- Principles of Stereoscopic Vision
- Optical Equipment
- Vertical Exaggeration
- Photogrammetry: Vertical Measurements
- Topographic Displacement
- Shadow Method
- Difference of Parallax
MIDTERM EXAM – TBD
- Introduction to RPAS
- What is a UAV? Drone? RPAS?
- Types, Components, Sensors
- Advantages & Disadvantages
- Transport Canada Regulations
- Photo Mission Planning
- Image Classification, Terrain Modeling, Feature Extraction
- Fundamentals of Digital Multispectral Systems
- Digital Image Analysis
- Image Pre-processing,
- Image Classification
- Accuracy Assessment
- Object-based Classifications
- Active vs. Passive Systems
- Causes of Backscatter
- Azimuth and Range Resolution
FINAL EXAM – APRIL 20TH, 9 AM
Tentative Lab Schedule
Labs are scheduled THURSDAY afternoons, 1:40 to 4:30 PM, in room BB 3-47/3-44.
|Jan 5||1||Introduction to Google Earth (GE)|
|Jan 12||2||Image Interpretation and Analysis|
|Jan 19||3||Importing and Extracting Geospatial Data in GE|
|Jan 26||4||Air Photo Interpretation and Stereoscopy|
|Feb 2||5||Scale and Horizontal Measurements|
|Feb 9||6||Methods of Determining the Height of Features|
|Feb 16||7||Intro to Remotely Piloted Aircraft Systems (RPAS)|
|Feb 23||NO LAB (Midterm Break)|
|Mar 2||8||Image Classification: Training Field Selection|
|Mar 9||9||Image Classification: Training Field Evaluation|
|Mar 16||10||Image Classification: Supervised Classification|
|Mar 23||11||Image Classification: Unsupervised Classification|
|Mar 30||12||RPAS Demo Flight (weather permitting)|
|Apr 6||12||RPAS Demo Flight (weather permitting)|
Generally, lab assignments are due at the end of the current lab period or beginning of the following week’s lab period. Labs submitted at the end of the following week’s lab period will be considered one day late. Late labs will incur a penalty of 10% per day.
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