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A simple scheme has been developed to discrimi- nate surface, sun glint and cloud properties in satellite based spectrometer data utilizing visible and near infrared informa- tion. It has been designed for the use with data measured by SCIAMACHY's (SCanning Imaging Absorption SpectroM- eter for Atmospheric CHartographY) Polarization Measure- ment Devices (PMD) but the applicability is not strictly lim- ited to this instrument. The scheme is governed by a set of constraints and thresholds developed by using satellite im- agery and meteorological data. Classification targets are ice, water and generic clouds, sun glint and surface parameters, such as water, land, snow/ice, desert and vegetation. The validation has been done using MERIS (MEdium Resolu- tion Imaging Spectrometer) and meteorological data from METAR (M ´ ET´ eorologique Aviation R´

Cloud and surface classification using SCIAMACHY polarization measurement devices