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HYTI mission: Raw thermal instrument on-orbit data processing with SpaceCloud
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems. Unibap AB, Sweden.ORCID iD: 0000-0002-8785-5380
Unibap AB, Sweden.
Hawaii Space Flight Laboratory, University of Hawaii at Manoa, Honolulu, HI, USA.
Hawaii Space Flight Laboratory, University of Hawaii at Manoa, Honolulu, HI, USA.
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2022 (English)Conference paper, Published paper (Refereed)
Abstract [en]

The HyTI (Hyperspectral Thermal Imager) mission, funded by NASA’s Earth Science TechnologyOffice InVEST (In-Space Validation of Earth Science Technologies) program, is the first US science satellite to leverage heterogenous SpaceCloud hardware with CPU and GPU acceleration. The mission will demonstrate how high spectral and spatial long-wave infrared image data can be acquired from a 6U CubeSat platform and perform advanced on-orbit real-time data processing and creating L1 and L2 products. 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 13cm-1resolution) at a ground sample distance of ~60 m. The small form factor of HyTI is made possible via a no-moving-parts Fabry-Perot interferometer and JPL’s cryogenically cooled HOTBIRD FPA technology. 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 deliveryof data regarding volcanic degassing, land surface temperature, and precision agriculture metrics.This presentation will provide an overview of the HyTI measurement approach, the onboard data reduction approach, and the spacecraft design. We will also update HyTI integration, testing, andfuture mission concepts based on the SpaceCloud Framework containerization of mission management and data applications.

Place, publisher, year, edition, pages
2022.
National Category
Aerospace Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-61290OAI: oai:DiVA.org:mdh-61290DiVA, id: diva2:1719460
Conference
4S Symposium, 16-20 May 2022, Vilamoura, Portugal
Available from: 2022-12-15 Created: 2022-12-15 Last updated: 2022-12-15Bibliographically approved

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https://az659834.vo.msecnd.net/eventsairwesteuprod/production-atpi-public/edf65059bf64424dbf6cba95320e016f

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Bruhn, Fredrik

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