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Proceedings Paper

The study on snow observation and simulation of snowmelt process based on 3S technology
Author(s): Shifeng Fang; Huan Pei; Wei Dai; Zhihui Liu; Qiudong Zhao; Zhi Lu; Ming Li; Yan Yan
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Paper Abstract

The snow resources takes a very important part in the water resources especially in the arid and semiarid areas, plays a key role in the social manufacture, subsistence and environment, by the way, the flood caused by the snowmelt in the spring may result in the huge losing, so it is significant to take the accurate observation of snow information and snowmelt process monitoring. The limitation of the traditional "point observation" is unassailable, but with the completely application of RS, GIS and GPS ("3S") technologies, have gained revolutionary progress in the snow observation and the foundation of Distributed Snowmelt Runoff Model. Based on the "3" technology, this paper chose the Juntanghu Basin, which located in the North-Tianshan Mountains, as the representative study area, used MODIS data which has high resolution of time, spectrum and special, also imposed mass observation data of weather, hydrological and snow cover on the spot of the corresponding period, extracted the snow cover index and snow depth information, calculated the relevant snow information such as snow cover index, snow depth and its transformation, built the Distributed Snowmelt Runoff Model based on the GIS software exploited by ourselves, contrasted with the homologous observed data obtained in the field, the observation of snow information has a mean precision up to 0.9, and the average precision of the simulation of snowmelt runoff is up to 0.82.

Paper Details

Date Published: 25 July 2007
PDF: 8 pages
Proc. SPIE 6753, Geoinformatics 2007: Geospatial Information Science, 67532Y (25 July 2007); doi: 10.1117/12.761920
Show Author Affiliations
Shifeng Fang, Xinjiang Univ. (China)
Huan Pei, Nanjing Univ. (China)
Wei Dai, Xinjiang Univ. (China)
Zhihui Liu, Xinjiang Univ. (China)
International Ctr. for Desert Affairs (China)
Qiudong Zhao, Xinjiang Univ. (China)
Zhi Lu, Xinjiang Univ. (China)
Ming Li, Xinjiang Univ. (China)
Yan Yan, Xinjiang Univ. (China)


Published in SPIE Proceedings Vol. 6753:
Geoinformatics 2007: Geospatial Information Science

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