Start here
New to hyperspectral imaging? Three steps take you from zero to hyperspectral hero on real Wyvern scenes.
Learn the basics
What hyperspectral imaging is, and what 31 spectral bands let you see that RGB cannot.
Hyperspectral basics →Free and open data
Download real Dragonette imagery from the Wyvern Open Data Program, no account needed.
Browse Open Data →Answers in minutes
Load the scene and compute your first index, with or without writing code.
Spectral Index Library
Search and compare relevant indices across applications that are directly applicable to Wyvern's satellites and sensors. Indices currently cover chlorophyll, stress, water, algae, and more.
Browse Index Library →(NIR - Red) / (NIR + Red)Vegetation vigor & chlorophyll proxy. High correlation with biomass under many conditions.
Preview standardized formatting & metadata for each index.
Code and technical resources
Use our Python helpers to load hyperspectral cubes, compute indices, perform reflectance conversion, run dimensionality reduction, and visualize spectra interactively.
- L1B to L1C conversion
- Relative Spectral Response curves
- Image ingestion and processing
- Index computation and visualization
Tutorials and notebooks
Hands-on tutorials and guides covering everything you need to know to work with Wyvern data, across all common GIS platforms and programming languages.
Loading Wyvern Data
How to visualize and load imagery using Python and common GIS libraries
Open →Visualizing Spectra
Use QGIS and EnMAP Box to select and visualize hyperspectral curves
Open →Dragonette Data in ENVI
Ingest, display, atmospherically correct, and analyze Dragonette imagery in ENVI
Open →Loading Data in ArcGIS
Learn how to load Wyvern images into ArcGIS, and adjust visualization settings for optimal viewing.
Open →Join the community
Share discoveries, propose new indices, improve tutorials, or add dataset adapters. We welcome all contributions.