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Proceedings Paper

Cloud detection and classification from multi-spectral satellite data
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Paper Abstract

Clouds are the major factor regulating the Earth radiation budget, therefore their detection and characterization is of major importance. Cloud detection and classification is a requirement in order to allow for accurate studies of cloud microphysical and optical properties, as well as subsequent assessment of their radiative effects. In the present work, a method for the detection and classification of clouds, over the Iberian Peninsula, is presented. The methodology developed relies on the use of Meteosat-8 satellite images in different spectral bands combined to form different color composites, which are then analyzed, in an unsupervised way. The results show that more features are distinguished in the cloud mask, with respect to the use of traditional methods.

Paper Details

Date Published: 29 September 2009
PDF: 10 pages
Proc. SPIE 7475, Remote Sensing of Clouds and the Atmosphere XIV, 747514 (29 September 2009); doi: 10.1117/12.830220
Show Author Affiliations
Maria João Costa, Univ. de Evora (Portugal)
Daniele Bortoli, Univ. de Evora (Portugal)
Institute of Atmospheric Sciences and Climate, CNR (Italy)


Published in SPIE Proceedings Vol. 7475:
Remote Sensing of Clouds and the Atmosphere XIV
Richard H. Picard; Klaus Schäfer; Adolfo Comeron; Evgueni I. Kassianov; Christopher J. Mertens, Editor(s)

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