9 docs tagged with "General Info"

Additional hyperspectral datasets to explore beyond Wyvern, including NASA AVIRIS / AVIRIS-NG, Germany's EnMAP mission, and the NEON airborne observatory.

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.

Geospatial fundamentals for earth observation: the difference between vector and raster data, common file formats, and how they are used with Wyvern hyperspectral imagery.

An introduction to hyperspectral imaging: the electromagnetic spectrum, and how panchromatic, multispectral, and hyperspectral earth observation imagery differ.

Hyperspectral image formats explained: the data cube concept and common raster formats including GeoTIFF, ENVI, and HDF5 used to store hyperspectral imagery.

How spectral signatures identify materials in hyperspectral imagery, plus mixed pixels, endmember extraction (spectral unmixing), and pixel classification techniques.

Material reflectance spectral libraries for hyperspectral analysis, including the USGS Spectral Library, Reading's urban surfaces library, and the ECOSTRESS Spectral Library.

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.

Understand the SpatioTemporal Asset Catalog (STAC) — items, catalogs, and collections — why Wyvern uses STAC to deliver imagery, and tools like PySTAC for accessing it.