Several snow parameters and snow products can today be derived from optical and multi sensor satellite data. Present snow algorithms are developed using a number of satellite sensors, data formats, programming languages as well as being of variable quality. In view of new satellite sensors recently (or within shortly) launched, the SnowLab project will develop a snow retrieval algorithm user interface utilizing both single/multisensor state-of-the-art retrieval algorithms and in house developed algorithms under the Environment for Visualizing Images (ENVI). The main snow parameters of interest are Snow Cover Area (SCA), Snow Spectral Albedo (SSA), Snow Surface Wetness/Snow Liquid Water (SSW/SLW), Snow Surface Temperature (SST) and Snow Grain Size (SGS). The main satellite sensors of interest are NOAA's Advanced Very High Resolution Radiometer (AVHRR), Envisat's Medium Resolution Imaging Spectrometer (MERIS), Advanced Along Track Scanning Radiometer (AATSR) and Advance Synthetic Aperture Radar (ASAR) as well as the EOS AM-1's Moderate Resolution Imaging Spectroradiometer (MODIS) and Multi-angle Imaging SpectroRadiometer (MISR). SnowLab will be used as a toolbox/interface for deriving snow variables in other research projects, mainly EuroClim, SnowMan and EnviSnow.

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