9 docs tagged with "General Info"

Hyperspectral datasets to use alongside Wyvern data, including NASA's AVIRIS airborne spectrometers, Germany's EnMAP satellite, and the NEON airborne observatory, with what each covers and how to access it.

The difference between L1B top-of-atmosphere radiance and L2A surface reflectance for Wyvern data, what Wyvern's L2A product corrects, and the tools to use if you are correcting L1B yourself.

Geospatial fundamentals for earth observation: the difference between vector and raster data, their common file formats, and how the two are combined when working with Wyvern hyperspectral imagery.

An introduction to hyperspectral imaging: the electromagnetic spectrum, how panchromatic, multispectral, and hyperspectral earth observation imagery differ, and what Wyvern's Dragonette satellites measure.

Hyperspectral image formats explained: the data cube, and the raster formats you'll meet with hyperspectral imagery, including GeoTIFF and Cloud-Optimized GeoTIFF, ENVI, and HDF5 and NetCDF.

How spectral signatures identify materials in hyperspectral imagery, why mixed pixels complicate that, and the main methods for handling them: endmember extraction, spectral unmixing, and spectral matching.

Spectral libraries of material reflectance for hyperspectral analysis, including the USGS Spectral Library, the University of Reading's urban surfaces library, the ECOSTRESS Spectral Library, and OpenSpecLib.

Earth observation processing levels (L0–L4) explained, plus the details of Wyvern's two delivered products: L1B top-of-atmosphere radiance and L2A surface reflectance, with their projections, units, data types, and NoData values.

Understand the SpatioTemporal Asset Catalog (STAC): items, catalogs, and collections, how Wyvern's Open Data catalog is organized with them, and tools like PySTAC and pystac-client for accessing it.