Introduction to Remote Sensing
remote sensing applications in academic disciplines and professional industries. Emphasis is placed on
image acquisition and data collection in the electromagnetic spectrum and data set manipulations. This
course is designed for geographic information systems (GIS) students interested in imagery analysis.
College Lower (13-14):Introductory Level
Remote Sensing and GIS - Course Outline
A. Remote Sensing Defined
B. Applications of Remote Sensing
C. Basic Processes
I. A brief history of remote sensing for earth observation
A. History of photographyII. Remote Sensing Basics
B. Digital images
C. Evolution of platforms
D. Sensor Characteristics
A. Remote Sensing Data CollectionIII. Frame Captured Sensors and Line Scanners
B. Remote Sensing Process
C. Earth Observations
D. Electromagnetic Radiation
E. Atmospheric Energy-Matter Interactions
1. Photographic Cameras
2. Digital Cameras
1. Across-track Scanners
2. Along-track Scanners
3. Hyperspectral Scanners
IV. Satellite-based Sensors in Visible and Infrared Wavelengths
A. Low-spatial Resolution SensorsV. Active Sensors: Radar and Lidar
B. Medium-spatial Resolution Sensors
C. High-spatial Resolution Sensors
A. Active Microwave (RADAR) Remote SensingVI. Sonar
B. Radar Interferometry
C. Passive Microwave Radiometers
1. Lidar Principles
2. Lidar-derived Vegetation Information
3. Lidar-derived Urban Information
A. Side-scan sonarVII. Aerial Imagery – Visual Interpretation
B. Multibeam sonar
C. Global Seafloor Topography
A. Nature of Aerial ImagesVIII. GIS Integration
Ground Verification and Processing
1. Control Points
2. Ground Truthing
A. Raster to VectorIX. Remote Sensing Applications
B. Image Formats
G. Urban Infrastructure
1. Define and describe remote sensing and explain its applications and history.
2. Define and describe basics of electromagnetic spectrum and interactions with various types of media.
3. Describe sensors and image acquisition methods.
4. Analyze and explain remote sensing purposes, advantages, and limitations.
5. Describe basic characteristics of remote sensing imagery.
6. Describe industry-specific image sources.
I. Imagery analysis and image data processing assignments.
II. Written responses on tests, quizzes, essay questions and assignments.
III. Participation in class discussions, online chats, and group projects.
IV. A culminating project presented in class.
V. Class participation.
Adaptations have been made that allow this course to be successful in an online environmentThe use of virtual online sessions, such as Eluminate, will allow students access to the professor, as well as encourage group participation and peer to peer learning.
The most successful elements of this course are:I have not taught this course yet, so I do not know.
Recommendations for faculty who teach a course like this:
TextbookAronoff, Stan. Remote Sensing for GIS Managers, ESRI Press, 2005, ISBN: 9781589480810
1. ITT Visual Information Solutions. ENVI-EX Online Tutorial, ITT Visual Information Solutions,
2. ITT Visua