8 docs tagged with "Easy"

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 geospatial and hyperspectral software we use with Wyvern imagery (QGIS, ArcGIS, ENVI, Python, R, and GDAL), what each is good for, and what it costs.

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.

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.

How narrowband hyperspectral indices measure plant pigments, the red edge, and leaf area, which indices Wyvern Dragonette imagery supports, and how they compare with broadband indices like NDVI.

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.