Share Email Print

Proceedings Paper

Color-Composite Image Processing For Multispectral Meteorological Satellite Data
Author(s): Robert P. d'Entremont; Larry W. Thomason; James T. Bunting
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Visible and infrared satellite imagery data are a primary source of global cloud observations. Visible channels measure reflected solar energy and are used to detect clouds and snow. Infrared channels measure emitted thermal energy and, consequently, the brightness temperatures of clouds and the earth's surface both day and night. It is sometimes difficult to interpret such imagery because of varying conditions encountered on global scales. Snow cover is often confused with clouds in visible imagery because each surface reflects sunlight well. Low clouds are frequently confused with cloudfree land and oceans in infrared imagery because their temperatures can be nearly equal. It is found that more confident discriminations can be performed between such features when DMSP Operational Linescan System (OLS), NOAA Advanced Very High Resolution Radiometer (AVHRR), or Nimbus Scanning Multifrequency Microwave Radiometer (SMMR) data are combined into color image products. A multispectral image display technique is described that simultaneously combines several meteorological satellite images into a color image product. The technique, which has its origin in Landsat Multispectral Scanner image processing, is quick and effective, and clearly reveals many features of meteorological interest.

Paper Details

Date Published: 25 January 1987
PDF: 11 pages
Proc. SPIE 0846, Digital Image Processing and Visual Communications Technologies in Meteorology, (25 January 1987); doi: 10.1117/12.942660
Show Author Affiliations
Robert P. d'Entremont, Air Force Geophysics Laboratory (United States)
Larry W. Thomason, Air Force Geophysics Laboratory (United States)
James T. Bunting, Air Force Geophysics Laboratory (United States)

Published in SPIE Proceedings Vol. 0846:
Digital Image Processing and Visual Communications Technologies in Meteorology
Paul Janota, Editor(s)

© SPIE. Terms of Use
Back to Top