T3

Tasking Tracker Tool

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End-to-end satellite collection tasking tracker, from request submission through provider response, orbital pass prediction, and delivery accountability

Multi-Sensor Tracking Orbital Predictions Real-Time Analytics

Satellite Tasking Accountability for Space Domain Awareness

When satellites are constrained by geometry, weather, or capacity, unfilled tasking requests create operational blind spots. Without a unified view, operators cannot distinguish between sensor outages, scheduling gaps, and fulfilled-but-undelivered collections. T3 (Tasking Tracker Tool) solves this 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.

T3 is deployed at the USSF Space Domain Awareness (SDA) TAP Lab for satellite collection tasking accountability across a multi-provider sensor network. The same tasking accountability framework can be extended to other scheduling-constrained asset networks where task requests, provider responses, and delivery confirmations flow through structured data feeds.

Key Features

Tasking Data Integration

Automated ingestion from upstream tasking systems for collection requests, provider responses, and observation delivery, with configurable intervals and retry logic

Physics-Based Predictions

Physics-based orbital pass predictions with confidence scoring and visibility calculations, adjusted for geometry and environmental conditions

Analytics Dashboards

Real-time provider performance metrics, tasking success rates, and sensor utilization statistics across the full collection lifecycle

Asset Health Monitoring

Monitor sensor responsiveness, uptime, and performance against expected baseline behavior to separate asset faults from scheduling failures

Weather Integration

Weather data integration for atmospheric attenuation and pass confidence adjustments on environment-gated collection windows

Custody Tracking

Visualize continuous awareness of asset positions and activity windows to identify custody gaps before they become operational incidents

Tasking Alerts

Automated classification of stale or unfilled requests by cause (weather, geometry, capacity, outage), so operators act on root causes, not symptoms

Asset Catalog

Integrated asset catalog with orbital elements, orbit regime classification, and object type filtering, supporting LEO through cislunar and non-orbital assets

How T3 Works

1
Ingest Tasking Data

Continuously ingests from upstream tasking systems, pulling new collection requests, provider responses, and delivered observations

2
Store & Correlate

Incoming data is correlated between observations and originating requests, linking deliveries back to task records for end-to-end accountability

3
Predict Passes

Physics-based orbital calculations predict future asset passes and collection windows with weather-adjusted confidence scores

4
Visualize & Alert

Web dashboard provides gap alerts, root-cause analytics, and provider performance metrics that operators use to make tasking decisions in real time

Use Cases

Space Domain Awareness

Deployed at the USSF Space Domain Awareness (SDA) TAP Lab to provide satellite tasking accountability across a multi-provider sensor network, tracking collect requests, responses, and observations against predicted orbital passes and flagging unfilled collections by root cause.

Extensible to Other Asset Networks

T3's tasking accountability framework applies to any domain where assets are scheduled through upstream systems and results need to be tracked against expectations, including drone fleets, distributed sensor networks, and other scheduling-constrained operations. Contact us to discuss your use case.

Frequently Asked Questions

T3 is deployed for satellite constellation tasking in the USSF Space Domain Awareness (SDA) TAP Lab, where it tracks collection requests, provider responses, and delivered observations against orbital pass predictions. The architecture supports extension to other asset types where task requests, provider responses, and delivery confirmations flow through structured data feeds.

T3 uses physics-based orbital mechanics for pass predictions, achieving accuracy suitable for operational satellite tasking decisions. Predictions include confidence scores based on weather, geometry, and historical sensor performance. For non-orbital assets, the scheduling framework can incorporate domain-specific availability models.

Yes. T3's data integration layer is designed to ingest from any upstream system that provides structured tasking records. Adapting to a different source typically requires configuring the connection, authentication method, and data schema mapping. Contact us to discuss your specific integration requirements.

T3 supports all orbit regimes from low Earth orbit through cislunar. The integrated satellite catalog provides classification and filtering by orbit regime and object type. Non-orbital assets can be incorporated using the same tasking accountability framework without the orbital mechanics component.

Ready to Gain Full Visibility Into Your Tasking Operations?

See how T3 can eliminate coverage blind spots and deliver accountable, analytics-driven operations for your asset network