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HyperCube: a hyperspectral CubeSat constellation for measurements of 3D winds
Author(s): Ronald Glumb; Michael Lapsley; Scott Luce; Jean-Philippe Déry; Deron Scott; Tim Nielsen
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Paper Abstract

Global measurements of vertically resolved atmospheric wind profiles offer the potential for improved weather forecasts and superior predictions of atmospheric wind patterns. Harris’ HyperCube constellation of twelve 6U hyperspectral CubeSats can provide measurements of global tropospheric wind profiles from space at very low cost. It is a commercially funded enterprise in which the data from the satellites is provided to users on a subscription basis. This requires that the design of each satellite be optimized for minimum cost, yet with a reasonably long service life. This paper will focus on the design, operations, and projected performance of the HyperCube system.

Paper Details

Date Published: 19 September 2016
PDF: 11 pages
Proc. SPIE 9978, CubeSats and NanoSats for Remote Sensing, 997805 (19 September 2016); doi: 10.1117/12.2237796
Show Author Affiliations
Ronald Glumb, Harris Corp. (United States)
Michael Lapsley, Harris Corp. (United States)
Scott Luce, Harris Corp. (United States)
Jean-Philippe Déry, Telops Inc. (Canada)
Deron Scott, Utah State Univ. Space Dynamics Lab. (United States)
Tim Nielsen, Utah State Univ. Space Dynamics Lab. (United States)


Published in SPIE Proceedings Vol. 9978:
CubeSats and NanoSats for Remote Sensing
Thomas S. Pagano, Editor(s)

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HyperCube: a hyperspectral CubeSat constellation for measurements of 3D winds



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