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NGA is a member of the National System for Geospatial Intelligence (NSG) and the larger Allied System for Geospatial Intelligence (ASG), which includes close allies Canada, the United Kingdom, Australia, and New Zealand. [29] The U.S. and those four nations also form the Five Eyes intelligence alliance. [51]
Geographic information systems (GIS) play a constantly evolving role in geospatial intelligence (GEOINT) and United States national security.These technologies allow a user to efficiently manage, analyze, and produce geospatial data, to combine GEOINT with other forms of intelligence collection, and to perform highly developed analysis and visual production of geospatial data.
A de facto definition of geospatial intelligence, which is more reflective of the broad international nature of the discipline, is vastly different from the de jure definition expressed in U.S. Code. This de facto definition is: Geospatial Intelligence is a field of knowledge, a process, and a profession.
The United States Army Geospatial Intelligence Battalion (GEOINT Battalion or AGB), previously known as the 3rd Military Intelligence Center, is a military intelligence battalion specializing in the production and exploitation of geospatial intelligence (GEOINT), and the only operational military command at the National Geospatial-Intelligence Agency (NGA). [1]
DoD organization, including CSA designations. Combat support agency (CSA) is a designation by the United States Department of Defense (DoD) of those defense agencies that provide department-level and tactical support to the U.S. military during combat operations.
A GIS file format is a standard for encoding geographical information into a computer file, as a specialized type of file format for use in geographic information systems (GIS) and other geospatial applications.
The NGA provides the models in two formats: as the series of numerical coefficients to the spherical harmonics which define the model, or a dataset giving the geoid height at each coordinate at a given resolution.
Because the world is much more complex than can be represented in a computer, all geospatial data are incomplete approximations of the world. [9] Thus, most geospatial data models encode some form of strategy for collecting a finite sample of an often infinite domain, and a structure to organize the sample in such a way as to enable interpolation of the nature of the unsampled portion.