Advanced analytics and modeling enable the discovery, assessment, understanding, measurement, enrichment, and use of geospatial data from around the world. The analytical capabilities of today’s global GEOINT enterprise continue to build a rich foundation of unstructured and structured information in multiple dimensions and formats. Driven by the availability of geospatial data and the advancement of artificial intelligence (AI), emerging machine-assisted processes, and access to the right mix of computing hardware are shaping the future of the GEOINT mission.
NGA analysts need to create mission-focused models that describe knowledge about an intelligence topic in a machine-readable format. These object- and relationship-centric models will allow analysts to identify collection opportunities, process and characterize multiple sources of GEOINT data, and monitor and infer activity and outcomes. An effective knowledge model will also enable analysts to create and test analytical hypotheses and conduct predictive and anticipatory analysis. These advancements will help NGA get the best product to the warfighter faster.
NGA’s Technology Focus Areas are shaped by analytical expertise monitoring enduring threats, assessing emerging issues through activity-based intelligence, and conducting extensive research on long-term intelligence topics. To address the increasing complexity of today’s challenges and prepare for the imperative of future power competitions, NGA is investing in advanced analytical and visualization capabilities. Incorporating augmented and virtual reality systems and 3D gaming technologies has the potential to unlock the ability of GEOINT professionals to synthesize incoming data that is ever-growing in scale and complexity and to produce new intelligence products for the warfighter. NGA’s specific needs in this area include:
ANALYTICAL MONITORING: NGA analysts need to conduct model-driven assessments of activities, the associated indicators, and their interrelationships across multiple domains to generate deterministic or probabilistic estimates of events.
ACTIVITY MONITORING: NGA analysts need to conduct model-driven assessments of activities, the associated indicators, and their interrelationships across multiple domains to generate deterministic or probabilistic estimates of events.
KNOWLEDGE MONITORING: NGA analysts need a way to describe an intelligence topic or challenge in order to process activity-based data for localization, characterization, correlation, and tracking of objects.
INSIGHTS-AS-A-SERVICE: NGA analysts need geospatial web services that feed analytic, detection, and monitoring insights into existing workflows to more quickly derive intelligence value from GEOINT.
SUPPLIER CAPABILITY EVALUATION: NGA source strategy analysts need decision aids to: 1) automatically evaluate the range of geospatial data supplier content and services available; and 2) recommend the optimal supplier offerings to effectively and efficiently satisfy needs based on cost, timeliness, and performance parameters.
IMMERSIVE PRODUCT GENERATION: NGA analysts need the ability to build immersive geospatial intelligence products for augmented and virtual reality systems to support their customers’ evolving needs.
ANALYTIC SUGGESTION SERVICE: NGA analysts need a user-friendly, machine assisted modeling capability able to recommend statistical approaches based on observed workflow data, to ensure they are aware of analytical options that may be of use.
CONTEXTUAL LEARNING: NGA teams need extended reality tools in order to leverage abstract information for intelligence products and training material.
GEOINT POLITICAL SCIENCES: NGA researchers need advancements in technology to improve the terrestrial/celestial reference frame, gravity, magnetics, manmade and natural feature extraction/attribution, and bathymetric, topographic, and infrastructure models in order to improve its ability to model the physical Earth.