عنوان مقاله [English]
نویسندگان [English]چکیده [English]
Estimating of snow parameters, spatially snow covered area is one of the key factors in the Earth's radiation budget and is very important for weather and climate change studies. In large areas of the northern and northwestern part of the country, heavy snowfall, in general, lead to risks such as floods due to rapid melting of snow, and changes in the amount of snow cover also leads to the destruction of crops due to soil temperature as well as albedo fluctuations. Consequently, the detection of snow covered area is an important tool for understanding of these effects and to avoid the probability risks of climate change. Typically, two regions of the electromagnetic spectrum, (b) the visible and near infrared and (b) far-infrared and microwave are used to produce maps of snow in remote sensing systems. Today, remote sensing data provides much information about spatial and temporal distribution for large areas of the world. This paper is concerned with the results of snow cover detection using MODIS satellite data over Iran. For this purpose, the daily MODIS snow cover products (MOD10_L2) for a 10-year period (2001 to 2010) are applied for area snow-covered detection in Iran. The results show that during the last ten years, in mountainous and snow-rich regions has been dramatic declines in snow.