Cloud and surface classification using SCIAMACHY polarization measurement devices W. A. Lotz, M. Vountas, T. Dinter, and J. P. Burrows Institute of Environmental Physics, University of Bremen, Otto-Hahn-Allee 1, 28359 Bremen, Germany
Abstract. A simple scheme has been developed to discriminate surface, sun glint
and cloud properties in satellite based spectrometer data utilizing
visible and near infrared information. It has been designed for the
use with data measured by SCIAMACHY's (SCanning Imaging Absorption
SpectroMeter for Atmospheric CHartographY) Polarization Measurement
Devices (PMD) but the applicability is not strictly limited to this
instrument. The scheme is governed by a set of constraints and
thresholds developed by using satellite imagery 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 Resolution Imaging Spectrometer) and meteorological
data from METAR (MÉTéorologique Aviation Régulière –
a network for the provision of meteorological data for aviation). Qualitative validation using MERIS
satellite imagery shows good agreement. However, the quantitative
agreement is hampered by the heterogeneity of MERIS classifications
within each SCIAMACHY PMD ground pixel.
The comparison with METAR data shows good agreement.
The comparison for sun glint classifications and MERIS results exhibits excellent agreement.
Citation: Lotz, W. A., Vountas, M., Dinter, T., and Burrows, J. P.: Cloud and surface classification using SCIAMACHY polarization measurement devices, Atmos. Chem. Phys., 9, 1279-1288, doi:10.5194/acp-9-1279-2009, 2009.