Abstract
The Snow Cover Fraction (SCF) product is based on high-resolution snow cover.
The product is generated through a data fusion method that relies on a low-resolution SCF product and a high-resolution product, both based on optical data. In detail, the high-resolution snow cover is derived from Sentinel-2. For the Adige river basin the SnowFLAKES classification method is used to produce snow cover maps - see Barella, R., Marin, C., Gianinetto, M., & Notarnicola, C. (2022, July). A novel approach to high resolution snow cover fraction retrieval in mountainous regions. In IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium (pp. 3856-3859). IEEE.) For the other basins, the Copernicus Fractional Snow Cover (FSC) product is used (see https://land.copernicus.eu/en/products/snow/fractional-snow-cover). Regarding the low-resolution SCF product, MOD10A1 product derived from MODIS is used (see https://nsidc.org/data/mod10a1/versions/61). For details about the data fusion approach, see the method proposed by Premier et al., 2021.
The dataset contains daily SCF information (0 - 100 %) per pixel. The product is aggregated at the spatial resolution of the LISFLOOD model (i.e., approximately 1.4 km). Water bodies are masked out (no data are marked here as -999). The dataset is used to evaluate the snow module of the LISFLOOD model and to calibrate the snowmelt coefficient.