Investigation of Digital Detection Accuracy of Snow, Cloud and Earth Using MODIS Imagery

Snow as one of the precipitation forms has important effect in hydrological cycle and water resources management. Snow monitoring particularly in mountainous basin without modern technology is very difficult, according to temporal and spatial variation of snow property. Remote sensing is one of advanced technology in measurement of snow properties. MODIS imagery is one of new sensors that provide the possibility of snow cover measurement. In this research, we investigate ability of MODIS imagery for detection of snow cover from other phenomena such as cloud and earth using. Some methods of snow cover detection have applied in Haraz basin that is one of important basin in North of Iran. Results showed that false color image of moderate infrared bands has ability of snow and cloud detection and the best algorithm is the one that can envisage digital number of pixels deviation.