COMPUTER BASED TRAINING

This page contains all of the currently available computer based training (CBT) modules. Each training will have a brief description ofthe module and a download link that will allow you to download the files usedin the training. If you wish to follow along in ENVI/IDL/ENVI LiDAR then download the data and put it somewhere on your local hard drive. The training modules are all intended to stand alone, but it is usually advised to begin with the ‘Mastering the Basics' training modules before progressing. If you have any issues or questions regarding the CBTs then please send an email to sales@exelisvis.com

MASTERING THE BASICS OF ENVI

This training module will teach you the basics of working with the ENVI software including how to display imagery, including working with multiple layers, portals, contrast stretching, color tables and applying raster color slices. After completing this training you will have the basic skills needed to complete most other ENVI-based computer based training modules.

Difficulty Level - Beginner
Estimated Time : 60 minutes

This Landsat 8 dataset was collected by the Operational LandImager (OLI) sensor on November 02, 2013. This imagery has 8 multispectralbands, one panchromatic band, two thermal bands and one Quality Assurance band.The MSI bands and the QA band have a ground sample distance (GSD) of 30 meters,the Pan band has a GSD of 15 meters, and the thermal bands have a GSD of 100meters. This dataset is a Level 1 Terrain corrected product.

Download the Landsat 8 data set.
This document is subject to the controls of the Export Administration Regulations (EAR) and has been classified as EAR99. The recipient is responsible for ensuring compliance to all applicable U.S. export control laws and regulations. © 2016 Harris Corporation.

Landsat imagery courtesy of NASA Goddard Space Flight Center and U.S. Geological Survey.


WORKING WITH WORLDVIEW-3 SWIR DATA IN ENVI

This training module will teach you how to the basic fundamentals of working with short wave infrared data including what sensors collect the data and how to extract the most information out of this type of data with ENVI. We will collect end members for the purposes of creating a land classification map.

Difficulty Level - Beginner/Intermediate
Estimated Time : 90 minutes

This dataset was collected by the WorldView-3 SWIR (short wave infrared) and MSI sensors on November 22, 2014. Both the MSI and SWIR sensor collect imagery in 8 bands. The MSI bands have a ground sample distance (GSD) of 1.2 meters and the SWIR bands have a GSD of 7.5 meters. This dataset is a Standard 2A product.

Download the WV-3 data set.
This document is subject to the controls of the Export Administration Regulations (EAR) and has been classified as EAR99. The recipient is responsible for ensuring compliance to all applicable U.S. export control laws and regulations. © 2016 Harris Corporation.

WorldView-3 imagery courtesy of DigitalGlobe and has been provided for training and educational purposes only.


SPECTRAL PED

This training is a comprehensive deep-dive into working with hyperspectral imagery. The first portion delves heavily into the light physics surrounding remote sensing and what are absorption features as well as how you can identify them. The course will have the user use the Tactical Hyperspectral Operational Resource (THOR) tools available in ENVI to detect and identify materials in a hyperspectral scene. This is a lengthy training but note that your progress will be saved so you can return at any time to the point at which you left the training.

Difficulty Level - Intermediate/Advanced
Estimated Time : 6-8 hours

The Cooke City Collection was taken with the HyMap sensor on July 4, 2006. This imagery has 126 bands ranging from 453.8 to 2496.3 nm at a ground sample distance of approximately 3 meters. Radiometric calibrated has been applied.

Download the enviPED data set.
This document is subject to the controls of the Export Administration Regulations (EAR) and has been classified as EAR99. The recipient is responsible for ensuring compliance to all applicable U.S. export control laws and regulations. © 2016 Harris Corporation.

HyMap imagery courtesy of Integrated Spectronics and Rochester Institute of Technology and has been provided for educational purposes only.


SPATIO-TEMPORAL ANALYSIS OF VEGETATION IN ENVI

This training module will teach you how to complete a typical workflow for spatiotemporal analysis of crop health both from the ENVI UI and programmatically from the IDL Workbench. This training will employ the use of the ENVITask system, designed to make it easy to string together multiple tools that accomplish discrete bits of processing in one program or in an ENVI extension. To complete this training on your own machine you will need to have the atmospheric correction module, however you can still watch the videos and run through the interactions to develop a greater understanding of batch processing as it applies to analyzing the health of vegetation.

Difficulty Level – Intermediate
Estimated Time : 2-3 hours

This nine-image dataset was collected by the Pleiades 1A and 2B sensors starting on January 6, 2015 through June 23, 2015. These sensors collect data in four bands; Red, Green, Blue and Near-Infrared. The bands have a ground sample distance (GSD) of .5 meters. The short revisit time of the two sensors in conjunction with the spatial and spectral resolution make the Pleiades constellation a prime candidate for vegetation health monitoring.

Download the Airbus Defense & Space data set.
This document is subject to the controls of the Export Administration Regulations (EAR) and has been classified as EAR99. The recipient is responsible for ensuring compliance to all applicable U.S. export control laws and regulations. © 2016 Harris Corporation.

Pleiades 1-A and 1-B imagery courtesy of Airbus Defense & Space and has been provided for training and educational purposes only


PLOTTING TEMPERATURE DATA WITH IDL

This training video will teach you how to plot NASA weather data using the Interactive Data Language (IDL). You do not need any programming experience to take full advantage of this training. The code in this training employs the use of several built-in IDL routines such as the WHERE, READ_ASCII,and PLOT functions. During the video we will retrieve free weather data from NASA and create a plot depicting the 3-month average temperature for March,April and May from 1899-2015 in Boulder, Colorado.

Difficulty Level – Beginner
Estimated Time : 30 Minutes

Download the Plotting Temperature Data with IDL narration.
This document is subject to the controls of the Export Administration Regulations (EAR) and has been classified as EAR99. The recipient is responsible for ensuring compliance to all applicable U.S. export control laws and regulations. © 2016 Harris Corporation.

“Data courtesy of NASA. + GISTEMP Team, 2016: GISS Surface Temperature Analysis (GISTEMP). NASA Goddard Institute for Space Studies. Dataset accessed 2016-02-01 at http://data.giss.nasa.gov/gistemp/. + Hansen, J., R. Ruedy, M. Sato, and K. Lo, 2010: Global surface temperature change, Rev. Geophys., 48, RG4004, doi:10.1029/2010RG000345.”