Wyvern Hyperspectral Data Subscription
Wyvern's commercial hyperspectral data subscription service providing 100+ spectral band satellite imagery for agriculture, forestry, water quality, and mining analytics.
Technical specifications
- Spectral Data
- 100+ bands, 420–1000 nm (VIS + NIR)
- Spatial Resolution
- 1.5 m
- Delivery Formats
- ENVI, GeoTIFF, HDF5 (industry standard)
- Analytics Included
- Crop stress maps, water quality params, spectral lithology
- Access
- Cloud portal + API; archive + new tasking
- Subscription Tiers
- Individual researcher to enterprise fleet
- HQ
- Edmonton, Alberta, Canada
About
Wyvern’s commercial data offering is a subscription service providing access to hyperspectral satellite imagery from the Dragonette constellation for use in precision agriculture, forestry health monitoring, water quality assessment, and mineral exploration. Customers subscribe to Wyvern’s data portal to task satellite collections over areas of interest and receive processed hyperspectral cubes delivered in industry-standard formats (ENVI, GeoTIFF, HDF5).
The hyperspectral data subscription includes access to Wyvern’s cloud-based analytics pipeline, which applies spectral libraries and machine learning models to the raw hyperspectral data to produce analysis-ready products: crop NDVI+ indices, vegetation stress maps, water quality parameters (chlorophyll-a, turbidity, CDOM), and spectral lithology maps for mineral targeting. Customers can also export raw data for analysis in ENVI, ERDAS, or Python (spectral analysis libraries).
Wyvern sells both archive data (historical imagery over previously collected areas) and new collection tasking. Subscription tiers range from individual researcher access to enterprise fleet monitoring packages for agribusinesses managing millions of acres. The company is headquartered in Edmonton, Alberta, and has partnerships with Canadian agricultural technology companies and the Canadian Space Agency.
Documentation
No public datasheet yet — request the datasheet / ICD from the supplier.