The Data Layer
EOSYN Fabric™
Cleans, calibrates, harmonizes, and structures raw inputs into model-ready geospatial intelligence assets.
Overview
What It Does
Raw satellite and sensor data is noisy. Atmospheric interference, sensor calibration drift, geometric misalignment, and format inconsistency make raw data unsuitable for direct use in AI models or institutional decision-making. EOSYN Fabric is the data layer that transforms raw inputs into model-ready geospatial intelligence assets.
Fabric applies atmospheric correction (removing haze, aerosol, and water vapor interference), geometric alignment (ensuring pixel-level spatial accuracy across sources and time), format harmonization (converting heterogeneous data formats into a unified structure), and resolution standardization (normalizing data to consistent spatial and temporal resolutions). Every transformation is logged in a provenance record — an immutable audit trail showing exactly what data was used, what corrections were applied, and when.
The output of Fabric is a harmonized data cube — a multi-dimensional array of geospatial data that is spatially aligned, temporally consistent, and quality-scored. This data cube is the input to EOSYN Core's GeoAI models. The provenance records attached to every data cube mean that any EOSYN output can be traced back to its source data — a requirement for institutional auditability and regulatory compliance.
Capabilities
Key Capabilities
Atmospheric Correction
Haze, aerosol, and water vapor interference removal
Geometric Alignment
Pixel-level spatial accuracy across sources and time
Format Harmonization
Unified structure from heterogeneous data formats
Resolution Standardization
Consistent spatial and temporal resolutions
Provenance Tracking
Immutable audit trail of all transformations
Quality Scoring
Automated quality assessment of every data cube
Deliverables
Example Deliverables
| Deliverable | Description |
|---|---|
| Harmonized Data Cubes | Multi-dimensional, spatially-aligned, quality-scored data arrays |
| Calibration Logs | Detailed records of all corrections applied |
| Provenance Records | Immutable audit trail from source to output |
| Quality Reports | Automated quality assessment documentation |
| Metadata Catalog | Searchable metadata for all processed data |
The Stack
How It Connects
Data flows upward through the stack: Orbit sources raw signals, Fabric harmonises them into measurement-grade data cubes, Core generates confidence-scored intelligence, and Atlas delivers decisions into client systems.