Classification of cloud types based on data of multiple satellite sensors

Details Classification of cloud types based on data of multiple satellite sensors Classification of cloud types based on data of multiple satellite sensors

Mar 1994

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1994adspr..14..199t&link_type=abstract

Advances in Space Research, Volume 14, Issue 3, p. 199-206.

Mathematics

Logic

2

Scientific paper

Taking advantage of multispectral radiometers of VTIR of MOS-1 consisting of water vapor absorption and split-window channels, an attempt is made to develop an algorithm to classify cloud types of synopic meteorological significance. Verification of the algorithm based on the data of 4 channels of VTIR ( 1 visible, 1 water vapor absorption, 2 split window channels) onboard MOS-1 indicate that the algorithm works well for identifying well developed cumulonimbus, multilayered thick clouds and stratus/dense deep fog.

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