Exelis to Support Imagery from Landsat 8 Launch
Exelis Visual Information Solutions, a subsidiary of ITT Exelis, will support NASA’s visualization and analysis of data and images collected from the Landsat 8 satellite through the company’s ENVI software.
The launch of Landsat 8, referred to as the Landsat Data Continuity Mission (LDCM), took place earlier this week at Vandenberg Air Force Base in California. Exelis Visual Information Solutions provides desktop, cloud and mobile software solutions to help professionals across industries transform geospatial imagery and complex data into actionable information.
ENVI is used by commercial and government organizations for its capabilities in visualizing and analyzing spectral data, including multispectral data such as that collected by the LDCM. ENVI’s support of the digital file format generated by the satellite will allow organizations around the world to use Landsat 8 data for applications critical to global change research, such as agriculture, mapping, geology, forestry, regional planning, surveillance and education.
“Geospatial imagery is used to evaluate biodiversity, detect and identify targets, plan emergency response efforts and a variety of other applications important to understanding the world around us,” said Jaye Lampe, president of Exelis Visual Information Solutions. “Exelis is an active proponent of the affordability and accessibility of Landsat data, and ENVI has been an integral component of the Landsat program for over 20 years.”
ENVI software is designed to make it easy for any level of user to turn raw data into useful information. ENVI is already used with data from all previous Landsat missions across a variety of government organizations for monitoring water quality, measuring glacier recession, analyzing population growth and assessing damage from hurricanes, fires and other natural disasters.
Functionality in the latest version of ENVI will allow LDCM data users to extract metadata from files for radiometric calibration and atmospheric correction, to pan-sharpen images in order to enhance spatial resolution, to register multiple images for comparison and to detect change between images taken at different times.