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.

Ten (10) self-paced training courses have been developed based on an in-depth understanding of analysis workflows. The program provides the opportunity to apply the information being taught through the use of ENVI®, the industry-standard spectral analysis software. This software is accessed in a web browser, along with guided hands-on exercises. Comprehensive evaluations at the end of each course reinforce the concepts that were presented.


Spectral Interpretation Program
BUNDLE (all 10 courses)Self-guided eLearning

This 10 course program includes all courses in the Spectral eLearning program, and provides a full end-to-end package on all of the basics of spectral interpretation.

Introduction to Spectral InterpretationSelf-guided eLearning

This course explores discrete regions of the electromagnetic spectrum and their use in conducting spectral analysis. Concepts include spectral sensors and bands, different types of resolution, color composites, and contrast-stretching techniques to enhance image features.

Understanding Image QualitySelf-guided eLearning

This course describes factors that need to be considered to properly assess the quality of remote sensing images. Concepts include sources of error in remote sensing analysis, data-processing levels, and how to mitigate visual flaws in data.

Evaluating Area of Interest CoverageSelf-guided eLearning

This course explores the relationship between data points on the ground and data values in remote sensing images. Concepts include image registration, image-to-map registration, and image mosaic creation. These preprocessing methods are often conducted prior to spectral analysis.

Change Detection and Time Series OverviewSelf-guided eLearning

This course describes methods used in remote sensing to assess changes to the Earth’s landscape over time. Change detection and time-series analysis can provide qualitative and quantitative information about changes that occur with natural events or human activities. Concepts include image differencing, thematic change detection, time series construction, and temporal profiles.

Identifying Data ResourcesSelf-guided eLearning

This course describes several sources of public-domain remote sensing data. Concepts include data portals, different platforms used for Earth observation, and considerations for choosing imagery that best meets a mission objective.

Image Classification OverviewSelf-guided eLearning

This course describes the role of image classification in remote sensing. Concepts include supervised and unsupervised classification, and post-classification accuracy assessment.

Introduction to Hyperspectral AnalysisSelf-guided eLearning

This course provides an introduction to hyperspectral analysis, also called imaging spectroscopy. Hyperspectral images contain at least 40 spectral bands. Concepts include preparing data for hyperspectral analysis, working with spectral libraries, and using target detection to locate selected materials in an image based on their spectral properties.

Understanding Atmospheric EffectsSelf-guided eLearning

This course describes atmospheric processes that affect interpretation of satellite images. Concepts include atmospheric absorption and scattering, digital numbers, calibration to radiance and reflectance, and empirical and model-based atmospheric correction techniques.

Working with Non-Spectral DataSelf-guided eLearning

This course describes how non-spectral data can complement, and potentially improve, spectral analysis. Concepts include gridded and LiDAR elevation data, vector data, and synthetic aperture radar (SAR) data.

Spectral Data ApplicationsSelf-guided eLearning

This course explores the applications of spectral data across various industries. It details the interactions between the electromagnetic spectrum and its effects on the Earth’s surface.


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 eLearning course that meets your need. Contact us. Let’s get started today!