HYTI: thermal hyperspectral imaging from a CubeSat platform

Robert Wright; Miguel Nunes; Paul Lucey; Luke Flynn; Sarath Gunapala; David Ting; Sir Rafol; Alexander Soibel; Chiara Ferrari-Wong; Andrea Gabrieli; Prasad Thenabail

doi:10.1117/12.2530821

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30 August 2019 HYTI: thermal hyperspectral imaging from a CubeSat platform

Robert Wright, Miguel Nunes, Paul Lucey, Luke Flynn, Sarath Gunapala, David Ting, Sir Rafol, Alexander Soibel, Chiara Ferrari-Wong, Andrea Gabrieli, Prasad Thenabail

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Proceedings Volume 11131, CubeSats and SmallSats for Remote Sensing III; 111310G (2019) https://doi.org/10.1117/12.2530821
Event: SPIE Optical Engineering + Applications, 2019, San Diego, California, United States

Abstract

The HyTI (Hyperspectral Thermal Imager) mission, funded by NASA’s Earth Science Technology Office InVEST (InSpace Validation of Earth Science Technologies) program, will demonstrate how high spectral and spatial long-wave infrared image data can be acquired from a 6U CubeSat platform. The mission will use a spatially modulated interferometric imaging technique to produce spectro-radiometrically calibrated image cubes, with 25 channels between 8-10.7 μm, at a ground sample distance of ~70 m. The HyTI performance model indicates narrow band NEΔTs of <0.3 K. The small form factor of HyTI is made possible via the use of a no-moving-parts Fabry-Perot interferometer, and JPL’s cryogenically-cooled HOT-BIRD FPA technology. Launch is scheduled for no earlier than October 2020. The value of HyTI to Earth scientists will be demonstrated via on-board processing of the raw instrument data to generate L1 and L2 products, with a focus on rapid delivery of data regarding volcanic degassing, land surface temperature, and precision agriculture metrics.

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Robert Wright, Miguel Nunes, Paul Lucey, Luke Flynn, Sarath Gunapala, David Ting, Sir Rafol, Alexander Soibel, Chiara Ferrari-Wong, Andrea Gabrieli, and Prasad Thenabail "HYTI: thermal hyperspectral imaging from a CubeSat platform", Proc. SPIE 11131, CubeSats and SmallSats for Remote Sensing III, 111310G (30 August 2019); https://doi.org/10.1117/12.2530821

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