Cloud detection and classification from multi-spectral satellite data

Maria João Costa; Daniele Bortoli

doi:10.1117/12.830220

29 September 2009 Cloud detection and classification from multi-spectral satellite data

Maria João Costa, Daniele Bortoli

Proceedings Volume 7475, Remote Sensing of Clouds and the Atmosphere XIV; 747514 (2009) https://doi.org/10.1117/12.830220
Event: SPIE Remote Sensing, 2009, Berlin, Germany

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.

Citation Download Citation

Maria João Costa and Daniele Bortoli "Cloud detection and classification from multi-spectral satellite data", Proc. SPIE 7475, Remote Sensing of Clouds and the Atmosphere XIV, 747514 (29 September 2009); https://doi.org/10.1117/12.830220

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