Accurate estimation of snow water equivalent (SWE) is crucial for effective flood forecasting and disaster management. The paper develops a technology that can provide a reliable estimation and monitoring of snow water equivalent (SWE) for potential snowmelt flood events utilizing RADARSAT Constellation Mission compact polarimetric data. Leveraging 4-day repeat-pass interferometry, interferometric SAR (InSAR) technology was employed to estimate snow depth by analyzing SAR signal propagation delays caused by snowpack. Snow depth estimations closely aligned with ground truth measurements from nearby weather stations, demonstrating the capability of InSAR in detecting dynamic snow depth changes. Snow density was derived using a backscatter-based inversion model, enabling dynamic SWE estimation as the product of snow depth and density. The resulting SWE maps and time-series analyses showed strong correlations with weather station data, validating the accuracy and reliability of the developed methodology.