Daily snow cover maps at moderate (500m-1km) resolution are required for a wide range of modelling and monitoring applications, including generation of snow cover indicators for local and regional environmental studies. A data assimilation system is developed using the Canadian Meteorological Centre (CMC) daily time step snow depth model coupled with the Canada Centre for Remote Sensing (CCRS) AVHRR snow albedo model to produce continuous daily snow cover maps at 1km resolution. Inputs to the assimilation system include the operational CMC snow depth analysis, the Environment Canada Global Environmental Model surface temperature and precipitation analyses and single day NOAA AVHRR top of atmosphere reflectance. The CCRS-CMC daily snow cover dataset with other 3 different data sets, including systematic in-situ measurements, cloud free MODIS snow cover products, IMS daily northern hemisphere snow and ice analysis at 4 km resolution, and the Canadian Meteorological Centre snow depth analysis, are then used to generate the snow cover indicators over a five year period. The indicators are evaluated through their sensitivity to documented input data uncertainties, by comparison to continuous monitored in-situ sites, and through intercomparison. Recommendations for suitable indicators as a function of input dataset, based on the development of Canadian snow cover indicators, are provided.