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Geospatial intelligence (GEOINT) is

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  • Geospatial intelligence
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  • Geospatial intelligence (GEOINT) is
  • Here Geospatial Intelligence, or the frequently used term GEOINT, is an intelligence discipline comprising the exploitation and analysis of geospatial data and information to describe, assess, and visually depict physical features (both natural and constructed) and geographically referenced activities on the Earth. Geospatial Intelligence data sources include imagery and mapping data, whether collected by commercial satellite, government satellite, aircraft (such as Unmanned Aerial Vehicles [UAV] or reconnaissance aircraft), or by other means, such as maps and commercial databases, census information, GPS waypoints, utility schematics, or any discrete data that have locations on earth. There is an emerging recognition that "this legal definition paints with a broad brushstroke an idea of t
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dbkwik:military/pr...iPageUsesTemplate
dbkwik:itlaw/prope...iPageUsesTemplate
abstract
  • Geospatial intelligence (GEOINT) is
  • Here Geospatial Intelligence, or the frequently used term GEOINT, is an intelligence discipline comprising the exploitation and analysis of geospatial data and information to describe, assess, and visually depict physical features (both natural and constructed) and geographically referenced activities on the Earth. Geospatial Intelligence data sources include imagery and mapping data, whether collected by commercial satellite, government satellite, aircraft (such as Unmanned Aerial Vehicles [UAV] or reconnaissance aircraft), or by other means, such as maps and commercial databases, census information, GPS waypoints, utility schematics, or any discrete data that have locations on earth. There is an emerging recognition that "this legal definition paints with a broad brushstroke an idea of the width and depth of GEOINT" and “GEOINT must evolve even further to integrate forms of intelligence and information beyond the traditional sources of geospatial information and imagery, and must move from an emphasis on data and analysis to an emphasis on knowledge.”
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