The Data Layer
EOSYN Fabric™
Cleans, calibrates, and aligns raw inputs into model-ready geospatial data cubes with a full provenance trail.
Overview
What It Does
Raw satellite and sensor data is noisy. Atmospheric interference, sensor drift, geometric misalignment, and inconsistent formats make it unfit for direct use in a model, let alone an underwriting decision. EOSYN Fabric is the data layer that turns raw captures into model-ready geospatial intelligence assets.
Fabric runs atmospheric correction to strip haze, aerosol, and water vapour interference. It applies geometric alignment for pixel-level accuracy across sources and time. It harmonises formats into one structure and standardises resolution so nothing drifts between passes. Every step writes to a provenance record: an immutable log of what data went in, what corrections ran, and when.
The output is a harmonised data cube, spatially aligned, temporally consistent, and quality-scored. That cube feeds EOSYN Core's models directly. Because provenance travels with every cube, any downstream output traces back to its source data. For an auditor or a regulator, that trail is the whole point.
Capabilities
Key Capabilities
Atmospheric Correction
Removes haze, aerosol, and water vapour interference
Geometric Alignment
Pixel-level spatial accuracy across sources and time
Format Harmonisation
One unified structure from heterogeneous source formats
Resolution Standardisation
Consistent spatial and temporal resolution across every asset
Provenance Tracking
Immutable log of every transformation applied
Quality Scoring
Automated quality assessment on every data cube
Deliverables
Example Deliverables
| Deliverable | Description |
|---|---|
| Harmonised Data Cubes | Spatially aligned, quality-scored, multi-dimensional data arrays |
| Calibration Logs | Detailed records of every correction applied |
| Provenance Records | Immutable audit trail from source to output |
| Quality Reports | Automated quality assessment documentation |
| Metadata Catalogue | Searchable metadata across all processed data |
The Stack
How It Connects
Data moves up the stack. Orbit sources raw signals. Fabric turns them into measurement-grade data cubes. Core scores them for risk and change. Atlas delivers the decision into your systems.