Under the two awards, Maxar is expected to supply the agency with geospatial intelligence data and an improved application programming interface, the Westminster, Colorado-based company announced on Wednesday.
“Maxar is proud to continue partnering with NGA on enduring missions such as foundation geospatial intelligence, land cover and intelligence support, as well as to help spur innovation in new areas like automation,” commented Tony Frazier, executive vice president and general manager of public sector earth intelligence at Maxar and a five-time Wash100 Award winner.
The first award has a one-year period of performance and a potential value of $22.5 million, of which an initial $11.3 million will be funded under NGA’s Janus Geography program.
This award expands Maxar’s long history of efforts to provide NGA with foundational geospatial intelligence data by characterizing land cover at high resolution over various areas that are currently unmapped.
Maxar will be responsible for providing a modernized API under the second contract, which is valued at $13.3 million and has a base period of six months with four option years. The API is intended to support computer vision, machine learning and artificial intelligence applications.
Capabilities to be included in the interface include querying, discovering and downloading Maxar products from the organization’s 125-petabyte, high-resolution commercial imagery archive. Moving away from legacy dissemination methods, the API will supply content to the end user’s cloud account.
Also offered in the API are options for third-party content integration, full business analytics and increased production capacity.
“Public-private partnerships such as this represent the U.S. government’s ongoing commitment to commercial space and geospatial analytics technology,” emphasized Frazier.
Maxar is currently supporting the NGA under an ongoing $60 million contract awarded in 2021, through which the enterprise is continuing to develop and operate a classified big data analytics platform that utilizes geospatial tools to quickly interpret data.