Distributed Common Ground System (DCGS-MC)

Abstract

Distributed Common Ground/Surface System Marine Corps (DCGS-MC) Enterprise will be a Family of Systems (FoS) providing all source analysis and production within garrison and deployed Marine Corps organizations. DCGS-MC will comply with the Department of Defense (DOD) DCGS Enterprise interoperability and information sharing requirements by migrating select processing, exploitation, analysis, and production capabilities into a single, integrated, net-centric baseline within the Marine Corps Intelligence, Surveillance and Reconnaissance Enterprise (MCISRE). This baseline will enable MCISRE analysts to deliver tactically focused, operational and strategic intelligence at the tactical edge throughout all phases of operations and will provide relevant, precise decision support for Joint Task Force (JTF), Marine Air Ground Task Force (MAGTF), and subordinate Marine units. The DoD DCGS Enterprise provides worldwide garrison, and forward projection of tactical ISR capabilities at the JTF level and below. The DoD DCGS Enterprise enhances intelligence sharing within the Joint Services, the Intelligence Community, and Coalition Forces throughout all phases of operations. Each individual Military Service DCGS Program of Record provides unique and distinct capabilities to the overall DoD DCGS Enterprise. DCGS-MC GEOINT consists of GEOINT Imagery and Topographic Capability, Enterprise DCGS Integration Backbone System (EDS), Virtual Imagery Processing - Marine Corps (VIP-MC), Target Material Production (TMP) Full Motion Video - One (FMV-One), and Moving Target Indicator (MTI) systems. These capabilities will provide the USMC GEOINT analysts with the capability to process, disseminate, exploit, analyze and produce intelligence. Future capabilities will be delivered via clearly defined Capability Drops. The specific content of each Capability Drop will be determined by an integrated assessment of user needs, technology readiness, risk mitigation, and affordability.

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Document Details

Document Type
Project
Publication Date
Oct 01, 2017
Source ID
2268_0305208M_7_1319_PB_2017

Tags

Readers

  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

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