Vol. 5, No. 1, 18-31, 2006

Snow mapping using multi-temporal Meteosat-8 data
Martijn de Ruyter de Wildt, Gabriela Seiz and Armin Grün

Meteosat-8 is the first geostationary satellite that possesses channels at all bandwidths that are of use for snow mapping. It therefore offers new possibilities for multi-temporal snow mapping as well as for snow mapping at short time intervals, which is for example required for numerical weather prediction models. The spectral capabilities of Meteosat-8 allow an optimal spectral separation of clouds and surface snow cover, but there always may be clouds with spectral characteristics similar to those of snow. In this study, we propose a classification technique that uses temporal information, in addition to spectral information, to detect these clouds. This technique is based on the temporal differences which often exist between subsequent values of a cloud-covered pixel. The inclusion of temporal information in the classification process improves the classification of images from a three-day test period in March 2004.

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Submitted: 23 Feb 2005
Revised: 10 Dec 2005
Accepted: 20 Dec 2005
Published: 18 Jan 2006

de Ruyter de Wildt M, G Seiz & A Grün, 2006. Snow mapping using multi-temporal Meteosat-8 data. EARSeL eProceedings, 5(1): 18-31


EARSeL European Association of Remote Sensing Laboratories, Strasbourg, France


BIS Library and Information System, Carl von Ossietzky University of Oldenburg


ISSN 1729-3782