EO·Atlas
Imaging spectroscopy retrieval
Base sensing method for spaceborne imaging spectrometers: acquires per-pixel spectral fingerprints across contiguous VNIR-SWIR bands, producing a spectral cube from which material composition, vegetation biochemistry, or land-cover classes are retrieved. Spectral-library-matching and supervised-tree-ensemble-classification build on this base retrieval.
Imaging spectrometers (EnMAP, HyperScout-H, EMIT, DESIS, PRISMA) sample contiguous VNIR-SWIR spectral ranges at high spectral resolution, yielding a per-pixel spectrum. The base retrieval step produces atmospherically corrected surface reflectance cubes. Analysis methods (spectral-library-matching, supervised-tree-ensemble-classification, spectral-unmixing) apply on top of this cube product. Wikipedia: Hyperspectral imaging
- EnMAP HSI (Hyperspectral Imager)
- DESIS (DLR Earth Sensing Imaging Spectrometer)
- Antelope DPU
demonstrated via Intuition-1
- The Herd
demonstrated via Intuition-1
- Hyper-Spectral Imager - 2
via Huan Jing-2A
HSI-2 is a 128-channel VNIR hyperspectral imager for land observation and detailed vegetation classification.
- Advanced Hyperspectral Imager
via Gaofen-5 (GF-5)
AHSI is a 400-2500 nm, 330-band hyperspectral imager used for surface material and vegetation retrieval.
- HySIS
via HySIS
HySIS instrument has VNIR/SWIR hyperspectral channels at 30 m resolution.
- Carbon Mapper Imaging Spectrometer
via Tanager-1
The Carbon Mapper Imaging Spectrometer has contiguous VNIR-SWIR spectral coverage and Tanager-class plume retrieval specs.
- Zhuhai-1 OHS hyperspectral imager
via Zhuhai-1 OHS
Peer-reviewed Zhuhai-1 studies use OHS 32-band 10 m imagery for hyperspectral land-cover and urban tree-species classification.
- HyperScout H
HyperScout-H 25-band 650-950nm pixelated filter CMOS imager; capable of hyperspectral classification of mineral surfaces
- HAMLET Spectral Imager
HAMLET two-channel VNIR+SWIR imager for asteroid mineralogy classification
Wide-area survey for anomalous methane or CO2 concentrations at coarse spatial resolution; good for prioritising follow-up with finer sensors.
- [1]Wikipedia: Hyperspectral imagingcommunity2026-05-22
Edited from public sources. Last reviewed date pending by SpectraWorks editorial. See the data dictionary for field definitions.