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Proceedings Paper

An integration system for the collocation of polar and geostationary satellite observations
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Paper Abstract

Satellite observation collocation algorithms are generally used to spatially match observations or products from different satellite systems. The spatially matched and integrated satellite datasets are commonly used in integrated retrievals, satellite instrument inter-calibration and satellite observation validation. Instrument physical based collocation algorithms are developed at NOAA/NESDIS/STAR to support the development of the satellite observation integration system. The algorithms are applied within the Geostationary satellite & Polar satellite (GEO-LEO) integration system for IASI/SEVRI and will applied in the future CrIS/GOES-R observation integration system. In this paper, the details of the algorithms for IASI/SEVERI and AIRS/SEVIRI collocation are described and some results for both are presented.

Paper Details

Date Published: 7 October 2011
PDF: 9 pages
Proc. SPIE 8174, Remote Sensing for Agriculture, Ecosystems, and Hydrology XIII, 81741Y (7 October 2011); doi: 10.1117/12.897801
Show Author Affiliations
Haibing Sun, Perot Systems Government Service (United States)
Walter Wolf, National Oceanic and Atmospheric Administration (United States)
Thomas King, Perot Systems Government Service (United States)
Chris Barnet, National Oceanic and Atmospheric Administration (United States)
Mitch Goldberg, National Oceanic and Atmospheric Administration (United States)


Published in SPIE Proceedings Vol. 8174:
Remote Sensing for Agriculture, Ecosystems, and Hydrology XIII
Christopher M. U. Neale; Antonino Maltese, Editor(s)

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