BAE Systems receives $335 million contract for Map of the World project Technology and Equipment

The National Geospatial-Intelligence Agency (NGA) has awarded BAE Systems a contract worth around $335 million to assist form its intelligence products, especially in support of the agency’s Map of the World project.

The work under the contract comprises of assistance in developing the collection, maintenance and utilization of geospatial intelligence data and products. The MoW project is likely to serve as the backbone for the agency’s intelligence analysis and collection efforts, and reflects the agency’s move from static maps to dynamic ones.

According to the strategy document released by the agency, scheduled to be completed by 2020, the project would ultimately permit NGA’s partners and customers to visualize and access integrated intelligence information proportionate to geographic appearances of the planet.

The project is visualized to apply big-data analytics to access social media data and other sources in order to feature objects of interest.

MoW would perform as the intelligence community’s object-based production environment for coordinating and present information. An online Web portal, named as the Globe, would permit NGA to share the project with other agencies.

BAE Systems will facilitate its skills to maintain big data and to develop data sourcing for the agency.

The new sources of data, including commodity data, open source intelligence, and NGA archive data to provide new products in line with the agency’s wavering mission goals will be explored by our GEOINT experts, says, DeEtte Gray, president of BAE Systems’ Intelligence & Security sector.

NGA, which facilitates policy makers, the intelligence community and the military with analysis of geospatial information, has also been considering at the possibility of evolving 3D point clouds from 2D satellite images, according to a request for information released last week. The agency is expecting the technology would result in a system that could take hundreds of overlapping images to form spatially accurate 3D point clouds.