Mapping snow cover with repeat pass synthetic aperture radar

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