Cloud Type Separation by Spectral Differencing of Image Pairs

David W. Reynolds Department of Atmospheric Science, Colorado State University, Fort Collins, 80523

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Marvin L. Brown Department of Atmospheric Science, Colorado State University, Fort Collins, 80523

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Eric A. Smith Department of Atmospheric Science, Colorado State University, Fort Collins, 80523

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Thomas H. Vonder Haar Department of Atmospheric Science, Colorado State University, Fort Collins, 80523

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Abstract

A technique is presented for discriminating different cloud types through an image subtraction of visible and infrared SMS/GOES picture pairs. The technique emphasizes how one could separate snow from clouds and identify cirrus by the subtraction method. Quantitative threshold values are shown which can be used in an objective manner to make this separation.

Use is made of an all-digital image display device allowing such mathematical operations to be performed on satellite data. Techniques such as this can be made operational through the interfacing of the image analysis system with a direct-readout SMS/GOES ground station and distribution network.

Abstract

A technique is presented for discriminating different cloud types through an image subtraction of visible and infrared SMS/GOES picture pairs. The technique emphasizes how one could separate snow from clouds and identify cirrus by the subtraction method. Quantitative threshold values are shown which can be used in an objective manner to make this separation.

Use is made of an all-digital image display device allowing such mathematical operations to be performed on satellite data. Techniques such as this can be made operational through the interfacing of the image analysis system with a direct-readout SMS/GOES ground station and distribution network.

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