Dynamic monitoring of snow cover based on MOD10A1 and AMSR-E in the north of Xinjiang Province, China

Abstract

Abstract: Accurate monitoring of snow-covered areas plays a significant role in dynamic studies and prevention of snow-caused disasters and of sustainable development in pastoral areas. Using snow cover products and climatic station data, the snow classification accuracy was analyzed for AMSR-E daily SWE (snow water equivalent) products and composite images using AMSR-E SWE and MOD10A1 daily snow cover products in the three snow seasons of November 1 to March 31 from 2002 to 2005 in the north of Xinjiang Province. Results suggested that the snow classification accuracy for AMSR-E daily SWE products is 66.59% and the overall accuracy is 69.49%. The composite images (denoted MODAE1), calculated by the user-defined composite algorithm, combined the advantages of AMSR-E SWE products that are not affected by weather and of MOD10A1 daily snow cover products with higher spatial resolution so that the snow classification accuracy reached 76.43%. The snow depth and land cover have an important effect on the accuracy of snow classification for the MODAE1 composite images. The snow classification accuracy for the composite images increased when the snow depth (SD) was between 1 and 40 cm, reached 90.19% when SD was 31-40 cm; but started to decrease when SD was more than 40 cm. The snow classification accuracy in the pastoral areas reached 77.6%, but declined to 72.7% in open shrub land areas.

CLC Number:

S127
T979

FENG Qi-sheng, ZHANG Xue-tong, LIANG Tian-gang. Dynamic monitoring of snow cover based on MOD10A1 and AMSR-E in the north of Xinjiang Province, China[J]. Acta Prataculturae Sinica, 2009, 18(1): 125-133.

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