The invention relates to a road accumulated snow calamity monitoring and early warning method based on multisource remote sensing data. According to the method, first of all, a cloud-free accumulated snow area product is obtained by performing cloud removal processing on a MODIS accumulated snow area product by use of a cloud removal algorithm; an accumulated snow depth product is obtained through a snow depth reversing algorithm by use of a passive microwave SSM/I and SSMI/I brightness temperature observation, for calculating a whole-road average annual accumulated snow day number of many years and a multi-year average accumulated snow thickness and determining a key accumulated snow road mileage of a whole road; secondly, by use of Landsat and high-definition satellite remote sensing image data, through a normalization accumulated snow exponent and a high-definition accumulated snow exponent threshold method extraction method, accumulated snow is identified, and accumulated snow spatial distribution of each mileage of a key road is extracted; and finally, through a surface temperature, ASTER GDEM, a gradient, an aspect and a meteorological condition, roads prone to icing and roads prone to avalanches and blowing snow are determined. According to the invention, monitoring of road accumulated snow distribution and the roads prone to icing, avalanches and blowing snow are realized by use of the multisource remote sensing data, and monitoring and early warning of road accumulated calamities are accurately realized.