Spectral eLearning

The tremendous benefits and applications of spectral data has resulted in a surge in the deployment of spectral sensors. However, there is still a gap in the number of professionals who can accurately exploit spectral data sets. To address this need, L3Harris Geospatial, the definitive leader in spectral analysis, has developed on-demand, interactive spectral eLearning courses to meet the specific needs of analysts.

Self-paced Instruction On-Demand

L3Harris spectral eLearning is professional training that provides the “just right” amount of background and instruction for you to perform the tasks needed as a part of your operational requirements. The eLearning program has been designed to meet specific training needs based on an in-depth understanding of Defense and Intelligence analysis workflows. Participants will be able to immediately apply their new skills, because it will be taught within the context of what they already know and are familiar with.

Contact Us to Get Started

eLearning courses are currently only available in the USA.

List of Spectral eLearning courses:

This course will help learners understand the differences between spectral data and single-band images. In addition, the course will demonstrate the visualization techniques needed to help enhance and discriminate remotely sensed objects based on their physical characteristics.


This course was carefully developed around factors that need to be considered to properly assess the quality of your data. Learners will be able to discriminate between data levels, mitigate visual flaws, and appropriately correct flaws in data.


This course explores the applications of spectral data across various industries, as well as detailing the interactions between the electromagnetic spectrum and its effects on the Earth’s surface. Learners will also be able to understand the various interactions between incident, reflected, and emitted energy. 

This course explores the relationship between values at the ground level, and values in your data. In addition, the course details the importance of appropriate image registration and creating accurate image mosaics to conduct spectral analysis.

This course details the various applications of image classification. By the end of this course, learners will understand the value of training data in image classification, and how to create training classes with, or without training data involved in image processing. In addition, learners will have an opportunity to create an annotated product utilizing variables derived from their classification matrix.

This course will teach the value of accuracy assessments when conducting image classification. By the end of this course, learners will be able to identify the variables that must be accurate to ensure their image classification meets the ground truth values.

This course serves as a deeper dive into the affects of the atmosphere when conducting remote sensing. By the end of this course, learners will understand the basics of image reflection, absorption, and transmission, as well as the underlying effects aerosols in the atmosphere have on data. In addition, learners will gain a fundamental understanding of how to detect, correct, and disseminate intelligence products that have been processed to eliminate unwanted effects in the atmosphere.

This course will guide learners to the various image data repositories that are accessible for spectral analysis. By the end of this course, learners will be able to identify which data repository is best suited for their analysis, as well as how to properly navigate, identify the data level needed, and successfully load the data in ENVI.

This course will introduce learners to the change detection workflow. By the end of this course, students will be able to conduct a proper change assessment of a scene utilizing various image comparison methods. In addition, learners will understand how to properly utilize a time series for spectral analysis.

This course navigates the importance of comparing and combining various data types together for the development of an accurate analytical product. Learners will understand the value in utilizing differing data sources, such as LiDAR and vector data in ENVI. This course will also demonstrate the integration of ENVI with the ArcGIS suite of tools.

Is Spectral eLearning right for you?

  • Want more spectral knowledge to supplement current exploitation methods
  • Need a refresher on a specific spectral skill or workflow
  • Want to gain the knowledge and abilities to make a career change or support future missions
  • Want more education but don’t have the desire or time to go to school for an additional degree or certificate

Contact Us to Get Started

Each eLearning course targets a spectral pillar. The courses are comprised of:


Visual content to ensure comprehension.


Text-based learning with interactive exercises.


Test your skills with hands-on ENVI® exercises.


Knowledge checks after each section.


Bring Your Spectral Understanding Further and Faster

Let’s find the eLearing course that meets your need. Contact us. Let’s get started today!