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Exelis Visual Information Solutions To Support Imagery Collected From Landsat Data Continuity Mission

ITT Exelis (NYSE:XLS) subsidiary Exelis Visual Information Solutions will fully 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 Monday from Vandenberg Air Force Base in California.

ENVI is used by commercial and government organizations like NASA and its partners 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 new satellite will allow organizations around the world to effectively use Landsat 8 data for applications critical to global change research: 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 environmental, disaster management and military and intelligence applications, including monitoring water quality; measuring glacier recession; analyzing population growth; researching invasive plant species; and assessing damage from hurricanes, fires, and other natural disasters.

Functionality in the latest version of ENVI will allow LDCM data users to automatically extract metadata from files for radiometric calibration and atmospheric correction, to easily pan-sharpen images in order to enhance spatial resolution, to automatically register multiple images together for easy comparison, and to detect change between images taken at different times.

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