In hydrological investigations, modeling and forecasting of snow melt runoff requires information about snowpack properties and their spatial variability. This study demonstrates a technique to map snow cover with both the backscattering and coherence (with and without snow covered images) measurements. The authors found the coherence measurements provide a much easier way to map snow covered area. For validation of this method, they compared classification result with that derived from TM imagery. A accuracy of better than 86% can be achieved if one considers the classification result from TM imagery as the ground truth.