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Proceedings Paper

Threshold functions for the automated analysis of clouds in daytime global meteorolical satellite imagery
Author(s): Keith D. Hutchison; Jerry Mack; Greg Logan; Kenneth R. Hardy; Steven D. Westerman
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Paper Abstract

Algorithms used to produce automated cloud analyses from global meteorological satellite imagery must compensate for variations in cloud spectral signatures caused by changes in atmospheric attenuation and solar scattering geometry that occur as the satellite orbits the Earth. In this paper, a methodology is presented that describes the variations in the spectral signatures of optically-thick (water) clouds for a wide range of solar illumination conditions. Functions are developed that describe these changes and are demonstrated in the analysis of high resolution NOAA AVHRR imagery. The accuracy of the automated cloud analyses is measured against ground truth (manual) cloud, no-cloud analyses.

Paper Details

Date Published: 23 December 1994
PDF: 8 pages
Proc. SPIE 2309, Passive Infrared Remote Sensing of Clouds and the Atmosphere II, (23 December 1994); doi: 10.1117/12.196700
Show Author Affiliations
Keith D. Hutchison, Univ. of Texas/Austin (United States)
Jerry Mack, Lockheed Missiles & Space Co., Inc. (United States)
Greg Logan, Lockheed Missiles & Space Co., Inc. (United States)
Kenneth R. Hardy, Lockheed Missiles & Space Co., Inc. (United States)
Steven D. Westerman, Lockheed Missiles & Space Co., Inc. (United States)


Published in SPIE Proceedings Vol. 2309:
Passive Infrared Remote Sensing of Clouds and the Atmosphere II
David K. Lynch, Editor(s)

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