About GGDM

The Ground-Warfighter Geospatial Data Model (GGDM) is the ground-warfighter container into which geospatial data elements may be collected, managed and reused. It provides for unique ground-warfighter extensions falling outside traditional data products to be rapidly included into the model and be made available to ground-warfighter systems. The GGDM also features a tight-coupling with the National System for Geospatial-Intelligence (NSG) Topographic Data Store (TDS) allowing for greater interoperability and data sharing between the GGDM and National Geospatial-Intelligence Agency's (NGA) NSG TDS.

The Ground-Warfighter Geospatial Data Model is a core component of the U.S. Army Geospatial Center (AGC) Army Geospatial Enterprise (AGE), which will provide the standards and technology to acquire, manage, and share geospatial data, for the warfighter. The AGE is based upon an integrated data and services architecture that establishes common requirements, standard interfaces and data models. GGDM will help eliminate stovepipes, reduce costs, simplify acquisition and accelerate transition of technology as part of a standard and shareable geospatial foundation.

GGDM logo

The primary focus of the GGDM is to identify, understand and manage geospatial data entities, information concepts, structural relationships, and lineage information in a shareable, accessible common environment for ground forces. The GGDM supports the ground-warfighter within the AGE with a well-defined interoperable schema, data dictionary, and geospatial databases that provide a common operational picture for mission command while reducing cost due to reuse and automated processes.

The GGDM consists of a logical data model (LDM) schema, a data dictionary, and physical data model (PDM) exemplars intended to support enterprise-wide geoservices across Army and Warfighter Programs. These data models are designed for the collection, maintenance, and dissemination of vector data including features such as roads, rivers, buildings, fences and bridges; and identifying attributes related to the features such as function, height, type, physical condition and operational status; and metadata describing the accuracy, content origin, and classification level.