Monthly Archives: June 2013

ENVI and ArcGIS: An Example of Moving Beyond Interoperability

In the geospatial industry, the term “interoperability” has become a bit of a buzz word over the last several years.  Interoperability is very simply defined as the ability of diverse systems to work together.  At a high level, I consider … Continue reading

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Looking Above for Help Below

I was in central London last weekend and you can’t help but notice all of the work that is going on above ground to support Crossrail, a railway link that passes directly through central London and that will join Maidenhead and Heathrow … Continue reading

Posted in Geospatial Data | Tagged , , , , | 2 Comments

Exelis brings fun, games, and veterans assistance to Esri® this year!

We’re bringing something new to this years’ Esri® International User Conference. In an effort to educate more GIS users about the value of the information contained in geospatial imagery we have designed some interactive, touch-screen games. These games are designed … Continue reading

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How Does Google Get Accurate Geoinformation for Google Maps?

Have you ever wondered how Google Maps manages to have reasonably accurate map data for so much of the world? I ran across an interesting video from Google’s I/O 2013 conference, about their Ground Truth project, which compiles and refines … Continue reading

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Image Analysis: Making the Most of Your Time at the Shore

If hand digitizing geographic features is the bane of a GIS technician’s existence, tasking someone to manually delineate ephemeral features of say, the banks of the Mississippi River, is downright inhumane.  But someone has to do it; maintaining accurate extents … Continue reading

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Landsat 8 Sensor Improvements Benefit to GEOINT

People following the Landsat Data Continuity Mission (LDCM) know that NASA handed the controls over to the USGS on May 30, 2013 and Landsat 8 was born. Landsat 8 builds on a 40+ year heritage of earth resources remote sensing … Continue reading

Posted in Defense Intelligence, Geospatial Data, Remote Sensing | Tagged , , , , , , , | 1 Comment

Viewshed Analysis with LiDAR!

What’s the first thing you think when I say, “Image exploitation” or “Remote sensing feature extraction?” I bet you are thinking about electro-optical data and time tested analytics to tease out information from imagery that is not initially apparent at … Continue reading

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