Open Source Intelligence (OSINT) is an information processing discipline that involves finding, selecting, and acquiring information from publicly available sources and analyzing it to produce actionable
intelligence. In the Intelligence Community (IC), the term "open" refers to overt, publicly available sources (as opposed to covert or classified sources); it is not related to
open-source software. OSINT includes a wide variety of information and sources:Media - newspapers, magazines, radio, television, and computer-based information.Public data - government reports, official data such as budgets and demographics, hearings, legislative debates, press conferences, speeches, marine and aeronautical safety warnings, environmental impact statements, contract awards.Observation and reporting - Amateur airplane spotters, radio monitors and satellite observers among many others have provided significant information not otherwise available. The availability of worldwide satellite photography, often of high resolution, on the Web (e.g., Google Earth) has expanded open source capabilities into areas formerly available only to major intelligence services.Professional and academic - conferences, symposia, professional associations, academic papers, and subject matter experts.Most information has geospatial dimensions, but many often overlook the geospatial side of OSINT: not all open source data is unstructured text. Examples of geospatial open source include hard and softcopy maps, atlases, gazetteers, port plans, gravity data, aeronautical data, navigation data, geodetic data, human terrain data (cultural and economic), environmental data, commercial imagery,
LIDAR, hyper and multi-spectral data, airborne imagery, geo-names, geo-features, urban terrain, vertical obstruction data, boundary marker data, geospatial
mashups, spatial databases, and
web services. Most of the geospatial data mentioned above is integrated, analyzed, and syndicated using geospatial software like a
Geographic Information System (GIS) not a browser per se.
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