Commercial hyperspectral satellite imagery

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Commercial hyperspectral satellite imagery: high-resolution imaging spectrometer data from a dedicated constellation, capturing contiguous narrow spectral bands per pixel (material-level reflectance rather than a few broad bands). Product lines are on-demand tasked collections at user-specified time, location and spectral settings; assured/reserved capacity for repeat collections in a defined season; and a historical archive library of global imagery from 2023 onward. Pre-processed, analysis-ready outputs compatible with mainstream GIS and machine-learning toolchains.

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Coverage

Universe, instruments and categories.

Industry: Aerospace & DefenseApplication Software
Instruments: equities
Categories: GeospatialAlternativeESG
Regions: USOtherUK
Sample tickers: LUNRASTSRKLBBARTXNEO.TAGD

Dataset card

Type: not stated
Format: Images — hyperspectral datacubes (hundreds of contiguous spectral bands per scene) delivered as pre-processed, analysis-ready raster tiles/COGs alongside standard GIS and ML-readable formats; obtainable through an ordering API
Volume: Stated volume signal available: the free/open subset alone is 100+ high-resolution scenes, and the commercial archive library is described as growing with global coverage from 2023 onward. A hyperspectral scene is typically several GB of cube data, so the licensable archive is plausibly order 10^3-10^4 scenes (petabyte-scale raw, low-petabyte to hundreds-of-TB once pre-processed), with new scenes added on every tasked collection.
Users: N/A — satellite imagery is sold per scene, per subscription and via tasking contracts, not as a registered-user platform; buyer base is resource-exploration, agriculture, government and analytics-partner accounts, consistent with ~$3M revenue band
History: 3 years
Update frequency: not stated
Growth: Active — constellation operational with an archive accumulating from 2023, an active product surface (tasking, assured capacity, archive, open data), recent site redesign, and financing activity through a debt-financing stage typical of capital-intensive satellite build-out
Launched: ~2023 for orbital hyperspectral service (the archive explicitly begins with global imagery from 2023, which dates first operational collection); company founded earlier — corporate record and first funding activity trace to ~2018-2019 as a sensor/SmallSat developer
Delivery: not stated
Entity mapping: not stated
Sample: not stated
Point-in-time: not stated
Licence: not stated

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