Snow covered area is a huge water resource on most part of the world and mountainous areas. Snow-cover and its equivalent water, supplies 1/3 of the water requirements for farming and its land irrigation throughout the world. Therefore, water contents estimation of a snow-cover or estimation of snowmelt runoff is necessary for Hydrologists. Several snowmelt-forecasting models have suggested which most of them require continuous monitoring of snow-cover. The most efficient means of monitoring snow-cover patches are remote monitoring through satellites imagery. Among many models, snowmelt runoff model (SRM) is widely used to forecast snowmelt runoff estimation by daily temperature. This model uses only one daily temperature in each zone and assumes fixed coefficients for melting season duration, so the model is not respond properly on some parts of the world. To calculate the snowmelt runoff precisely a simple model is useful, thereafter considering the basics of the existing model and eliminating its problems, a new method initiated that it is simple and applicable for this purposes. In this research, snowmelt runoff forecasted in a new scheme, using maximum and mean daily temperatures, two means of snow melt measuring devices and MODIS data. According to the outcome results, one can map snow-covered area with sufficient precision using MODIS data, while the map is useful to related calculations about snow patches. In addition, after studying the satellite images, the snow-cover changes predicted in a new ways for the periods that the MODIS data was not available. The produced maps controlling with ground truths confirmed its very high precisions. The melted water resulted from temperature changes were modeled as equations, which, their calculated amounts are comparable to the ground truths very well. With regards water flow changes, equations calculated to estimate the daily melted water flow. These equations are comparable to the ground truths as well. Since there are problems with estimation of snowmelt runoff with existing SMR model, the studied area divided in smaller working areas to apply the temperature directly on each work-area independently. Therefore, the area separated in various aspects and on each aspect different coefficients considered to estimate the water flow in each segment. Finally, we conclude that the new established methods in the present study are adequately accurate and one can use for the future estimations of the studied area.