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Proceedings Paper

Radial predicting filters to recover clear-column infrared radiance fields from satellite
Author(s): Valerio Tramutoli; Carmine Serio
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Paper Abstract

In order to produce temperature or water vapor profiles from infrared radiance measurements the detection of possible cloud contamination within the field-of-view is required. In most retrieval schemes a correction phase follows so that the inversion algorithm operates on clear column infrared radiances. In the present paper we describe an objective filtering scheme aiming at processing radiances, for each infrared measuring channel, to produce a field of cloud cleared values with sufficiently well defined statistical properties and error structures. Basically the method uses clear measurements only and treats cloudy data as unmeasured or missing data. Synthetic values of clear column radiances for HIRS/2 channel 4,7,13,8 are used as a test field. The results presented are retrieval of clear radiance fields from cloudy data sets, each consisting of the test field with instrumental noise added and a cloud mask defining whether each individual field of view is clear or not. Radiances defined as cloudy are consistently treated as missing data. The cloud masks used for the present exercise are obtained from processing of real data with a very high cloud content, in order to understand the behavior and quality of the algorithm in situations close as possible to worst real cases.

Paper Details

Date Published: 30 December 1994
PDF: 10 pages
Proc. SPIE 2315, Image and Signal Processing for Remote Sensing, (30 December 1994); doi: 10.1117/12.196777
Show Author Affiliations
Valerio Tramutoli, Univ. della Basilicata (Italy)
Carmine Serio, Univ. della Basilicata (Italy)

Published in SPIE Proceedings Vol. 2315:
Image and Signal Processing for Remote Sensing
Jacky Desachy, Editor(s)

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