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Additional datasets

Dragonette images the VNIR from 445 to 870 nm at 5.3 m. When you need wavelengths beyond that, a longer archive, or a different scale, these are the datasets to reach for. All three cover the SWIR as well as the VNIR, and all are free to use, though some ask you to register.

AVIRIS​

The Airborne Visible / Infrared Imaging Spectrometer (AVIRIS) is NASA JPL's airborne imaging spectrometer. It flies on aircraft rather than satellites, so its pixel size depends on flight altitude, and it covers the full VNIR and SWIR range. It has been flying since 1986 and has built one of the longest-running hyperspectral archives available, used for mineral mapping, vegetation and water studies, and disaster response.

There have been three generations of the instrument: AVIRIS-Classic, AVIRIS-NG (Next Generation), and AVIRIS-3, which is the one currently flying. Each has its own data portal:

AVIRIS Data Portal: imagery from the original AVIRIS-Classic sensor. This portal holds the most data, since it covers roughly 15 years of flights, though coverage is mostly Canada and the USA.

AVIRIS-NG Data Portal: imagery from the AVIRIS-NG sensor. AVIRIS-NG overflights include Europe, India, and the Arctic.

For AVIRIS-3, and for the current list of campaigns and portals, start from the AVIRIS project site.

EnMAP​

The Environmental Mapping and Analysis Program is a German hyperspectral satellite. It delivers imagery at 30 m GSD in 230 bands from 420 to 2,450 nm, covering the VNIR and SWIR. It launched in April 2022 and started routine operations in November 2022. You need to register to access its data.

Its 30 m pixels are coarser than Dragonette's 5.3 m, but it covers the SWIR, which Wyvern's VNIR sensors do not.

NEON​

The National Ecological Observatory Network is run by the US National Science Foundation to collect ecological data across the United States. Among much else, its airborne program collects high-resolution hyperspectral imagery across the VNIR and SWIR over the same field sites year after year, alongside LiDAR and ground measurements, which makes it useful for validating what you see from orbit.