Correlation-based cloud detection and an examination of the split-window method

Claus Solvsteen

doi:10.1117/12.228636

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18 December 1995 Correlation-based cloud detection and an examination of the split-window method

Claus Solvsteen

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Proceedings Volume 2586, Global Process Monitoring and Remote Sensing of the Ocean and Sea Ice; (1995) https://doi.org/10.1117/12.228636
Event: Satellite Remote Sensing II, 1995, Paris, France

Abstract

Twenty-six daytime NOAA-11/AVHRR images covering the Danish waters are analyzed together with 99 cloud-free bulk temperature measurements. The images are cloud screened with a cloud-detection algorithm, which among other tests is based on a correlation test between channels 2, 4, and 4-5. This correlation test is capable of distinguishing cold water pixels from cloud pixels. According to the split-window hypothesis, the channel 4-5 brightness temperatures should increase, and the channel 4 brightness temperatures should decrease with the radiation path. These split-window assumptions are examined, and the channel 4-5 difference does not seem to carry significant information about the true sea surface temperature.

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Claus Solvsteen "Correlation-based cloud detection and an examination of the split-window method", Proc. SPIE 2586, Global Process Monitoring and Remote Sensing of the Ocean and Sea Ice, (18 December 1995); https://doi.org/10.1117/12.228636

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