Cloud detection and classification from multi-spectral satellite data

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.