SPACE ENVIRONMENT MODELS

This product page describes a suite of advanced space environment modeling solutions and data services designed to provide unprecedented space environment intelligence. It transforms complex environmental data into strategic operational advantages, enhancing space domain awareness. The suite includes:

DRAGSTER: This cutting-edge solution addresses the growing need for high-fidelity tracking of objects in Low Earth Orbit (LEO) by overcoming the limitations of existing atmospheric drag models. It utilizes an advanced assimilative framework that optimizes performance by leveraging a custom-curated ensemble of models for each task. Its design ensures continuous advancement in space object tracking as models evolve.

M3SDA (Modular, Modern, Model for Space Domain Awareness): This tool revolutionizes ionospheric modeling and forecasting. It’s a modular framework that efficiently assimilates diverse datasets, advanced computing, and atmospheric assimilation techniques to forecast space weather and its impacts.

OrbitIQ: This platform delivers high-fidelity orbit modeling and forecasting. It supports accurate orbit determination, conjunction assessment, and the detection of maneuvers or deceptive actions in space. Hosted by AWS, OrbitIQ is driven by a dynamic digital twin of the space environment, modeling complex interactions between the thermosphere, ionosphere, and satellites to provide real-time awareness and predictive insights. It is offered as a Data-as-a-Service (DaaS) platform, providing satellite operators and Space Domain Awareness (SDA) analysts on-demand access to critical information.