Careful assessment of MODIS images on snowy surfaces extracted using Landsat images using techniques Subpixel (Case study Mountains north of Tehran)

Snow is a huge water resource in most parts of the world. So the amount of snow cover in Tabriz basins for water resource management is essential. In recent years, in addition to pixel-based techniques Subpixel techniques also have been used for mapping snow cover Because in most hydrological models require snow cover mapping on a frequent basis and at short intervals is That produce these maps is possible only with the use of images with high temporal resolution. Images with high spatial resolution, The spatial resolution is low or medium Mixed pixels is increased in such images possible. Extract data from pixel mixture, is possible only by using Subpixel techniques. This study follows three main objectives First measurable snow cover using remote sensing techniques without the physical presence The second study to help assess the accuracy of medium and high resolution images (Landsat image) Third LSU algorithm as the best and most accurate way to monitor the level of snow cover. In this study of satellite images Terra MODIS (NASA website) and Landsat ETM OLI (Site United States Geological Survey USGS) was used. To conduct various stages of research Envi 4.8 and ArcGIS 10.3 software was used. The MODIS image Snow level 1850 square kilometers and 1926 square kilometers were estimated Landsat Snow levels And the accuracy of the method for overall accuracy of 90% and kappa coefficient was calculated 86/0. R Square value was calculated for this technique also 93/0. However, due to the precision and accuracy of the values given can be trusted.