Computer Science
Scientific paper
May 1997
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1997adspr..19..527k&link_type=abstract
Advances in Space Research, Volume 19, Issue 3, p. 527-531.
Computer Science
1
Scientific paper
Histogram technique in cloud classification is based on the idea that the histogram of pixel radiances over an area will show clusters of pixels that represent different cloud or surface types. Assuming that radiance reflected (emitted) by a certain cloud level or surface type is normally distributed, the radiance histograms collected over any regular area are mixtures of normal components. A scheme is produced for a two-dimensional case to analyse NOAA AVHRR CH1 and CH4 radiance histograms and separate the components. As a result, mean reflectance and (top) temperature values for each component can be obtained together with the weights of the components that describe cloudy and cloud-free fractions. A simple method to calculate mean (over the histogram area) daily surface insolation is introduced. The necessary coefficients to convert cloud amount and cloud reflectance into atmospheric transmittance have been found by means of ground-truth measurements at seven actinometric stations of Poland.
Kärner Olavi
Keevallik Sirje
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