Spatiotemporal dynamics of snow cover based on multi-source remote sensing data in China

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 cove...

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Published in:The Cryosphere
Main Authors: X. Huang, J. Deng, X. Ma, Y. Wang, Q. Feng, X. Hao, T. Liang
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2016
Subjects:
Online Access:https://doi.org/10.5194/tc-10-2453-2016
https://doaj.org/article/5a99c681992742569f4ad0664df42e2a
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spelling ftdoajarticles:oai:doaj.org/article:5a99c681992742569f4ad0664df42e2a 2023-05-15T18:32:28+02:00 Spatiotemporal dynamics of snow cover based on multi-source remote sensing data in China X. Huang J. Deng X. Ma Y. Wang Q. Feng X. Hao T. Liang 2016-10-01T00:00:00Z https://doi.org/10.5194/tc-10-2453-2016 https://doaj.org/article/5a99c681992742569f4ad0664df42e2a EN eng Copernicus Publications https://www.the-cryosphere.net/10/2453/2016/tc-10-2453-2016.pdf https://doaj.org/toc/1994-0416 https://doaj.org/toc/1994-0424 doi:10.5194/tc-10-2453-2016 1994-0416 1994-0424 https://doaj.org/article/5a99c681992742569f4ad0664df42e2a The Cryosphere, Vol 10, Pp 2453-2463 (2016) Environmental sciences GE1-350 Geology QE1-996.5 article 2016 ftdoajarticles https://doi.org/10.5194/tc-10-2453-2016 2022-12-31T11:11:34Z 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. Article in Journal/Newspaper The Cryosphere Directory of Open Access Journals: DOAJ Articles The Cryosphere 10 5 2453 2463
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Environmental sciences
GE1-350
Geology
QE1-996.5
spellingShingle Environmental sciences
GE1-350
Geology
QE1-996.5
X. Huang
J. Deng
X. Ma
Y. Wang
Q. Feng
X. Hao
T. Liang
Spatiotemporal dynamics of snow cover based on multi-source remote sensing data in China
topic_facet Environmental sciences
GE1-350
Geology
QE1-996.5
description 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.
format Article in Journal/Newspaper
author X. Huang
J. Deng
X. Ma
Y. Wang
Q. Feng
X. Hao
T. Liang
author_facet X. Huang
J. Deng
X. Ma
Y. Wang
Q. Feng
X. Hao
T. Liang
author_sort X. Huang
title Spatiotemporal dynamics of snow cover based on multi-source remote sensing data in China
title_short Spatiotemporal dynamics of snow cover based on multi-source remote sensing data in China
title_full Spatiotemporal dynamics of snow cover based on multi-source remote sensing data in China
title_fullStr Spatiotemporal dynamics of snow cover based on multi-source remote sensing data in China
title_full_unstemmed Spatiotemporal dynamics of snow cover based on multi-source remote sensing data in China
title_sort spatiotemporal dynamics of snow cover based on multi-source remote sensing data in china
publisher Copernicus Publications
publishDate 2016
url https://doi.org/10.5194/tc-10-2453-2016
https://doaj.org/article/5a99c681992742569f4ad0664df42e2a
genre The Cryosphere
genre_facet The Cryosphere
op_source The Cryosphere, Vol 10, Pp 2453-2463 (2016)
op_relation https://www.the-cryosphere.net/10/2453/2016/tc-10-2453-2016.pdf
https://doaj.org/toc/1994-0416
https://doaj.org/toc/1994-0424
doi:10.5194/tc-10-2453-2016
1994-0416
1994-0424
https://doaj.org/article/5a99c681992742569f4ad0664df42e2a
op_doi https://doi.org/10.5194/tc-10-2453-2016
container_title The Cryosphere
container_volume 10
container_issue 5
container_start_page 2453
op_container_end_page 2463
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