Fundamentals of Earth Remote Sensing

Course Description

Remote sensing of the environment is a powerful tool for addressing a variety of scientific problems. Learn the basics of passive and active remote sensing, as well as review fundamental data processing concepts. Get a detailed understanding of remote sensing principles, data analysis procedures, sensor technology, and an overview of significant technical issues associated with remote sensing systems.

Course ID: DEF 3008P
Course Format: Classroom

Contract Only Course

This course is available for contract only. Please fill out this form if you are interested in this offering.

Special Discounts

GTRI employees are eligible for a discount on this course.  If you are a GTRI employee, please go to and look under “GT Professional Development” for a coupon code to use when checking out.

Note: Coupon codes must be applied during checkout and cannot be redeemed after your checkout is complete. Only one coupon code can be used per shopping cart.

Who Should Attend

Engineers, system analysts, sensor engineers, ISR professionals, technical managers, individuals transferring fields, individuals working on programs with a remote sensing component

How You Will Benefit

  • Review the background and history of remote sensing.
  • Learn the fundamental principles underlying remote sensing.
  • Review the physics and signatures behind optical, infrared, and radar sensing.
  • Understand atmospheric impacts on data collection.
  • Learn the capabilities of current and planned remote sensing modalities and platforms.
  • Understand fundamentals of sensor data processing and visualization.
  • Survey remote sensing data resources, libraries, and archives.


  • Background

  • Signature physics

  • Sensor fundamentals

  • Atmospheric propagation

  • Sensor data acquisition

  • Data processing concepts and products

  • Visualization and analysis techniques

  • Remote sensing systems and resources

For Course-Related Questions

Please contact the course administrator: James Teague, Ph.D.