عنوان مقاله [English]
نویسنده [English]چکیده [English]
Since the avalanche hazard map is a very time-consuming task, our goal is to improve the development of risk mapping models in vast remote areas. This model is based on satellite imagery and digital elevation model at two points of the Swiss Alps. To simulate avalanche hazards, the model (DEM) is programmed in a computer that includes the determination of avalanche coordinates and parameters in the forest environment. Forests and pastures were classified according to thematic maps (TM) data. So far only a single forest classification has been made. While separating forests, bushes, and areas near the separating lane (the hypothetical line near which no tree grows) creates problems. The classification of small water springs, and the effect of avalanches within the forest was successful. The comparison of Bahman land and land use maps shows that 85 percent of risk and risk areas are correctly categorized. But for scientific applications, the separation of the red and blue lines was not satisfactory, and more needs to be done for operational applications that need to be addressed. The overall policy is very promising and should be led toward our goals, which is to provide more reliable risk maps with better and newer gateways to mutual conversion of snow and forest.