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Using MODIS Data to Observe Snowmelt Information |
CHEN De-zhi, QIN Qi-ming |
( Institute of Remote Sensing & GIS , Peking University , Beijing 100871, China) |
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Abstract To observe snowmelt information is an important part of snow observation. Using Remote Sensing methods to observe snowmelt information hasmany advantages, such as large area of observation,abundant information of receiving, high speed to acquire information and realtime of observation etc. In this paper, we present the method of observing snowmelt information by using MODIS images. Based on Snow and water spectral curves under different status, we propose the concept of snowmelt index (SMI) through MODIS band 4 and band 5, and then analyze variation law of SMI in each stage of snowmelt from snowmelt theories and discipline of absorption by snow , melted snow and water. At the end, we take Urumchi in Xinjiang province as the case study, analyze the whole snowmelt process between winter in 2002 and spring in 2003, use the snow depth, days of snow , temperature in local area to simulate snowmelt map in the field since there is no snowmelt map observed directly, and then compare the snowmelt map with SMI map in the corresponding time span. Finally, we validate the law , which is proposed in this paper that the decline rate of SMI becomes small when the content of water in snow increases, and at last stay at a low value.
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Received: 24 February 2005
Published: 27 September 2011
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