Document Type: Original Article


Assistant professor in Emam Hossin University, Babaei Highway, Tehran. Iran


Snow cover area is one of the most important criteria to calculate snow melt runoff. This can have an effect on the biology of the plant and the environment of a region. Using the catchment basin physical characteristic to calculate snow cover area is a conventional method, though its accuracy is not good enough. Most of the useful methods in calculating snow cover area are based on satellite images and remote sensing methods. In this research, based on satellites images and Weather-station data, two methods have been used to calculate snow cover properties. As MODIS images have better spatial/spectral resolution in comparison with other similar Satellite images like NOAA/AVHRR, they are more suitable to distinguish snow from cloud. In this research, Normalized Difference Snow Index (NDSI), and threshold technique have been used to snow cover properties in Shirkooh Mountain. In first step, snow cover were separated based on NDSI. Then, optimum threshold was determined for three spectral bands (2, 4 and 6) to separate snow from clouds and other wet resources. Furthermore, ASTER images which have 15m spatial resolution, have been used as base images to check the accuracy of snow cover areas that extracted from MODIS images. The results show that correlation between the snow cover area extracted from ASTER and MODIS images is about 0.87. Also, since the correlation obtained from the snow pixels reflectance and snow Persistence is more than 0.5, by using these images, snow Persistence can be estimated.


A.G. Klein, D.K. Hall, & G.A (1997), “RiggsImproving the MODIS Global Snow-Mapping Algorithm,” IEEE International Geoscience and Remote Sensing Symposium Proceedings (IGARSS’97), pp.619-621.
J. Dozier, (2000), “Remote Sensing of Alpine Snow Cover Invisible and Near-Infrared Wavelenghs,” NASA Goddard Space Flight Center, USA.
B. Raygani, S. Soltani Koupayi, S. J. Khajeddin and S. Barati (2008).,”Journal of the Iranian Natural Res,” Vol. 61, No.3, pp. 525-536.
E.T. Engman, and R.J. Gurney (1991) ,“Remote Sensing in Hydrology,” Chapman and Hall. Cambridge, London.
D. Hall, G.Riggs, V. Salomonson, (2001),” Algorithm Theoretical Basis Document (ATBD) for the MODIS Snow and Sea Ice-Mapping Algorithms,” Hydrological Science Branch NASA, September.
A.G. Klein, D.K. Hall, and G.A. Riggs, (1998), “Global Snow Cover Monitoring Using MODIS,”in: 27th International Symposium on Remote Sensing of Environment, pp, 363-366.
S. Lee, E.g. Klein, and T.M. Over, (2001),“A Comparison of MODIS and NOHRSC Snow cover products for simulating stream flow using the Snowmelt Runoff Model,” in: http:// WWW. Modis- snow ice, Gsfc,NASA,Gov.
A.A. Matkan, P. Ziaiian, S. Dadashi, (2007),“Snow cover detection using Image processing algorithms in Karaj and latian Basins,” Earth from space the most effective solutions,” The Third International Conference ,Moscow December.
K.M. Poon, (2004), “Hydrological Modelling using Modis Data for Snow Coverd Area in the Northern,” Master Science thesis, University of Calgary, January.
B. Rayegani, (2005),“Snow cover area evaluation using remote sensing in zayanderood ,” Isfahan University of technology.
J. Sokol, T.J. Pultz, and A. E. Walker (1999),“ Passive and Active Airborne Microwave Remote Sensing of Snow Cover,” the Fourth International Airborn Remote Sensing Conference and Exhibition / 21 st Canadian, Symposium on Remote Sensing, Ottawa, Canada.
Y. Zhang, (2003),“ Modis and Snow-cover Map,” in: http: // WWW. Climate. Eas. Gatech. Edu / yzhang / MODIS snow. PDF.
Zobayri, A.majd, (1996),” Knowledge and application of remote sensing technology in natural resources,” Tehran University.
A.G. Klein and A.C. Barnett, (2003),“Validation of MODIS Snow Cover Maps Of the Upper Rio Grande River Basin for the 2000-20001 snow year,” Remote Sensing of Environment, Vol, 86, pp, 162-176.