spatiotemporal dynamics of snow cover based on multi-source remote sensing data in china
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2016
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Abstract
By combining optical remote sensing snow cover products with passive
microwave remote sensing snow depth (SD) data, we produced a MODIS (Moderate Resolution Imaging Spectroradiometer) cloudless
binary snow cover product and a 500 m snow depth product. The temporal and
spatial variations of snow cover from December 2000 to November 2014 in China
were analyzed. The results indicate that, over the past 14 years, (1) the
mean snow-covered area (SCA) in China was 11.3 % annually and 27 % in
the winter season, with the mean SCA decreasing in summer and winter seasons,
increasing in spring and fall seasons, and not much change annually;
(2) the snow-covered days (SCDs) showed an increase in winter, spring,
and fall, and annually, whereas they showed a decrease in summer; (3) the average SD decreased in winter, summer, and fall, while it increased in spring and annually; (4) the spatial distributions of SD and SCD were highly
correlated seasonally and annually; and (5) the regional differences
in the variation of snow cover in China were significant. Overall, the SCD
and SD increased significantly in south and northeast China, and decreased
significantly in the north of Xinjiang province. The SCD and SD increased on the
southwest edge and in the southeast part of the Tibetan Plateau, whereas it
decreased in the north and northwest regions.
| Reference Key |
huang2016thespatiotemporal
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|---|---|
| Authors | ;X. Huang;J. Deng;X. Ma;Y. Wang;Q. Feng;X. Hao;T. Liang |
| Journal | journal of applied polymer science |
| Year | 2016 |
| DOI |
10.5194/tc-10-2453-2016
|
| URL | |
| Keywords |
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