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Proceedings Paper

Possible scanning scenarios of the GOES-R HES (Hyperspectral Environmental Suite)
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Paper Abstract

With increased spectral, spatial, and temporal resolution, the Hyperspectral Environmental Suite (HES) of the Geostationary Operational Environmental Satellite (GOES)-R Series will contribute to a significant improvement in the GOES products, including an increase in the number of products over the current GOES Imager and Sounder, especially when combined with the GOES-R Advanced Baseline Imager (ABI). The planned capabilities of the HES are encompassed by tasks, which describe required performance for operating at required scan rates. The scheduling of the HES will be determined by NOAA (National Oceanic and Atmospheric Administration). A range of possible scan scenarios for optimizing the collection of data for users with a variety of geographic or phenomenological concerns will be discussed here. One such schedule from the sounding capability of the HES would be a full "sounding disk" at 10 km (sub-satellite point resolution) covered every three hours, as well as the contiguous U.S. every hour at 4 km resolution, plus selected other regions of interest. The HES Coastal Waters (CW) will provide coverage of the coastal areas every three hours, in addition to other regions such as the Great Lakes, or other features of interest.

Paper Details

Date Published: 1 June 2005
PDF: 11 pages
Proc. SPIE 5806, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XI, (1 June 2005); doi: 10.1117/12.602772
Show Author Affiliations
Timothy J. Schmit, National Oceanic and Atmospheric Administration (United States)
James Gurka, National Oceanic and Atmospheric Administration (United States)
W. P. Menzel, National Oceanic and Atmospheric Administration (United States)
Monica M. Coakley, MIT Lincoln Lab. (United States)
Anthony Mostek, National Oceanic and Atmospheric Administration (United States)
Kevin Schrab, National Oceanic and Atmospheric Administration (United States)
Mathew M. Gunshor, CIMSS, Univ. of Wisconsin/Madison (United States)
Anthony Wimmers, CIMSS, Univ. of Wisconsin/Madison (United States)


Published in SPIE Proceedings Vol. 5806:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XI
Sylvia S. Shen; Paul E. Lewis, Editor(s)

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