Task, Track & Trace
Decision advantage through closed-loop satellite collection tasking, from request submission through provider response, orbital pass prediction, and delivery accountability
When satellite tracking is constrained by geometry, weather, or capacity, unfilled tasking requests create coverage blind spots. Without a unified view, operators cannot distinguish between sensor outages, scheduling gaps, and fulfilled-but-undelivered collections. T3 (Task, Track & Trace) compresses sensor-to-decision timelines by ingesting tasking requests and provider responses, correlating them against physics-based orbital pass predictions, and surfacing coverage gaps, provider performance trends, and stale request alerts in a single operational dashboard. Beyond tracking, T3 closes the loop by submitting collection requests directly to upstream tasking systems, so operators move from spotting a gap to acting on it in one place.
T3 was developed and demonstrated at the USSF Space Domain Awareness (SDA) TAP Lab for satellite collection tasking accountability across a multi-provider sensor network.
Automated ingestion from upstream tasking systems for collection requests, provider responses, and observation delivery, with configurable intervals and retry logic
Submit collection requests directly to upstream tasking systems, manually or through multi-rule automated tasking, closing the loop from an identified gap to action
Physics-based orbital pass predictions with confidence scoring and visibility calculations, adjusted for geometry and environmental conditions
Real-time provider performance metrics, tasking success rates, and sensor utilization statistics across the full collection lifecycle
Monitor sensor responsiveness, uptime, and performance against expected baseline behavior to separate asset faults from scheduling failures
Weather-informed pass confidence, adjusting for atmospheric attenuation on environment-gated collection windows
Automated classification of stale or unfilled requests by cause (weather, geometry, capacity, outage), so operators act on root causes, not symptoms
Integrated asset catalog with orbital elements, orbit regime classification, and object type filtering, supporting LEO through xGEO
Continuously ingests from upstream tasking systems, pulling new collection requests, provider responses, and delivered observations
Incoming data is correlated between observations and originating requests, linking deliveries back to task records for end-to-end accountability
Physics-based orbital calculations predict future asset passes and collection windows with weather-adjusted confidence scores
Web dashboard surfaces gap alerts, root-cause analytics, and provider metrics, and lets operators submit collection requests directly, moving from spotting a gap to acting on it in one place
Developed and demonstrated at the USSF Space Domain Awareness (SDA) TAP Lab to provide satellite tasking accountability across a multi-provider sensor network, where it tracked collect requests, responses, and observations against predicted orbital passes and flagged unfilled collections by root cause.
T3 tracks tasking across a heterogeneous provider network, correlating requests, responses, and delivered observations regardless of which provider fulfilled them. Contact us to discuss your sensor network.
See how T3 can eliminate coverage blind spots and deliver accountable, analytics-driven operations for your asset network