Knowledge about long term snow cover characteristics within a hydrological basin is essential information for regional and local authorities regarding water availability and flood hazard prediction. Population, economy and environment in the Republic of Bashkortostan (Russia) are strongly affected by regular spring floods. Stronger snowmelt due to steep temperature increase or due to higher snow deposition in the winter period cause local inundations in the Republic of Bashkortostan. In this study we analyze daily snow cover extent data for Volga sub‐catchments on the territory of the Republic of Bashkortostan and the influence of snow cover extent on periodic occurring spring floods at four different hydrostations. The snow cover extents and snow cover characteristics were derived from daily MODIS data with a spatial resolution of 500 meters. Parameters such as early and late season snow cover duration and its deviation from long-term mean were processed and calculated for the study region. Additionally, a binary logistic regression function was performed to reveal the quantitative impact and relation between snow cover extent and local spring floods. The results indicate strong correlation between the rate of snowmelt and occurred spring floods which proof the reliability of moderate spatial resolution remote sensing data towards local-scale flood events. It demonstrates that daily snow cover data with moderate resolution can be used to understand local spring floods.