📄️ Geospatial Basics
Geospatial fundamentals for earth observation: the difference between vector and raster data, common file formats, and how they are used with Wyvern hyperspectral imagery.
📄️ Hyperspectral Basics
An introduction to hyperspectral imaging: the electromagnetic spectrum, and how panchromatic, multispectral, and hyperspectral earth observation imagery differ.
📄️ Hyperspectral Image Formats
Hyperspectral image formats explained: the data cube concept and common raster formats including GeoTIFF, ENVI, and HDF5 used to store hyperspectral imagery.
📄️ Processing Levels
Earth observation processing levels (L0–L4) explained, plus the details of Wyvern's L1B top-of-atmosphere radiance product, including projection, units, and delivery format.
📄️ Understanding the STAC Format
Understand the SpatioTemporal Asset Catalog (STAC) — items, catalogs, and collections — why Wyvern uses STAC to deliver imagery, and tools like PySTAC for accessing it.
📄️ Hyperspectral Signatures
How spectral signatures identify materials in hyperspectral imagery, plus mixed pixels, endmember extraction (spectral unmixing), and pixel classification techniques.
📄️ Common Tools
An overview of common geospatial and hyperspectral tools — QGIS, ArcGIS, ENVI, Python, R, and GDAL — to help you choose software for analyzing Wyvern imagery.
📄️ Atmospheric Correction
Why hyperspectral imagery needs atmospheric correction to convert L1B top-of-atmosphere radiance to L2A surface reflectance, and tools (ATCOR, ENVI QUAC, ACOLITE, Py6S) for Wyvern data.