Snow and Water Imaging Spectrometer (SWIS): CubeSat configuration and design

Holly A. Bender; Pantazis Mouroulis; John M. Bellardo; Cole T. Gillespie; Grigory J. Heaton; Michael A. Fernandez; Nicholas N. Sizemore; Andres Andrade; Elliott H. Liggett; Peter Sullivan; Didier Keymeulen; Christopher D. Smith; Megan Gibson

doi:10.1117/12.2320809

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18 September 2018 Snow and Water Imaging Spectrometer (SWIS): CubeSat configuration and design

Holly A. Bender, Pantazis Mouroulis, John M. Bellardo, Cole T. Gillespie, Grigory J. Heaton, Michael A. Fernandez, Nicholas N. Sizemore, Andres Andrade, Elliott H. Liggett, Peter Sullivan, Didier Keymeulen, Christopher D. Smith, Megan Gibson

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Proceedings Volume 10769, CubeSats and NanoSats for Remote Sensing II; 107690B (2018) https://doi.org/10.1117/12.2320809
Event: SPIE Optical Engineering + Applications, 2018, San Diego, California, United States

Abstract

The Snow and Water Imaging Spectrometer (SWIS) is a science-grade imaging spectrometer and telescope system suitable for CubeSat applications, spanning a 350-1700 nm spectral range with 5.7 nm sampling, a 10 degree field of view and 0.3 mrad spatial resolution. The system operates at F/1.8, providing high throughput for low-reflectivity water surfaces, while avoiding saturation over bright snow or clouds. The SWIS design utilizes heritage from previously demonstrated instruments on airborne platforms, while advancing the state of the art in compact sensors of this kind in terms of size and spectral coverage. We provide an overview of the preliminary spacecraft configuration design for accommodation in a 6U CubeSat platform.

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Holly A. Bender, Pantazis Mouroulis, John M. Bellardo, Cole T. Gillespie, Grigory J. Heaton, Michael A. Fernandez, Nicholas N. Sizemore, Andres Andrade, Elliott H. Liggett, Peter Sullivan, Didier Keymeulen, Christopher D. Smith, and Megan Gibson "Snow and Water Imaging Spectrometer (SWIS): CubeSat configuration and design", Proc. SPIE 10769, CubeSats and NanoSats for Remote Sensing II, 107690B (18 September 2018); https://doi.org/10.1117/12.2320809

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