Paper
22 August 2020 Snow and water imaging spectrometer: final instrument characterization
Author Affiliations +
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. Through frequent repeat observations from space at a moderate spatial resolution, SWIS can address key science questions concerning aquatic and terrestrial ecosystem changes, cryosphere warming and melt behavior, cloud and atmospheric science, and potential impacts of climate change and human activities on the environment. We review the optical design and innovations and key technologies developed for this instrument, as well as its measured optical performance. We discuss the radiometric calibration characterization, including detector linearity, flat field correction, and SNR. Finally, we discuss stray light modeling and the development of a focused ghost removal algorithm, which is tested and supported by laboratory results.
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sander R. Zandbergen, Pantazis Mouroulis, Zachary Small, Holly A. Bender, and John Bellardo "Snow and water imaging spectrometer: final instrument characterization", Proc. SPIE 11504, Imaging Spectrometry XXIV: Applications, Sensors, and Processing, 1150407 (22 August 2020); https://doi.org/10.1117/12.2569144
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KEYWORDS
Stray light

Spectroscopy

Sensors

Calibration

Signal to noise ratio

Staring arrays

Computer aided design

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