EO·Atlas
PRISMA HSI (Hyperspectral Imager)
Pushbroom dual-detector hyperspectral imaging spectrometer on the PRISMA satellite, operated by the Italian Space Agency (ASI). 239 contiguous channels covering 400-2505 nm (66 VNIR channels at 400-1010 nm plus 173 SWIR channels at 920-2505 nm), 30 m GSD, 30 km swath, 12-bit quantization. Co-registered panchromatic channel at 5 m GSD. Launched 22 March 2019; the earliest of the three full-VNIR-SWIR civilian hyperspectral missions in routine operation. SWIR coverage to 2505 nm spans the diagnostic absorption features of clay, carbonate, sulphate, and phyllosilicate alteration minerals central to mineral exploration targeting.
PRISMA HSI is the hyperspectral imaging instrument on the Italian Space Agency's PRISMA mission.[1] The instrument is a pushbroom hyperspectral imager with VNIR and SWIR channels, 30 m hyperspectral ground sampling distance, a 30 km swath, and a co-registered 5 m panchromatic channel.[2] Published PRISMA technical material describes 66 VNIR channels from 400 to 1010 nm and 173 SWIR channels from 920 to 2505 nm, for 239 hyperspectral channels.[2] ASI mission material describes PRISMA as combining a hyperspectral sensor with a panchromatic camera, which yields 240 total bands when the panchromatic channel is counted separately.[1] Peer-reviewed PRISMA forest-type work uses PRISMA imagery for forest-type discrimination.[3] Chakraborty et al. 2024 use PRISMA in a spectral and spatial comparison of satellite hyperspectral data.[4]
| Methodology | Evidence | Mission |
|---|---|---|
| Hyperspectral classification [4] | Demonstrated [4] | prisma [4] |
Pricing not publicly listed by operator
Compositional position
- [1]PRISMA mission overview, ASIagency doc-2026-05-25
- [2]Loizzo et al. 2018, PRISMA: The Italian Hyperspectral Missionoperator engineering2018-07-222026-05-25
- [3]The New Hyperspectral Satellite PRISMA: Imagery for Forest Types Discriminationpeer reviewed2021-02-052026-05-25
- [4]Chakraborty et al. 2024, spectral and spatial comparison of satellite hyperspectral datapeer reviewed2024-06-092026-05-25