Title of article
Toward improved daily snow cover mapping with advanced combination of MODIS and AMSR-E measurements
Author/Authors
Liang، نويسنده , , Tiangang and Zhang، نويسنده , , Xuetong and Xie، نويسنده , , Hongjie and Wu، نويسنده , , Caixia and Feng، نويسنده , , Qisheng and Huang، نويسنده , , Xiaodong and Chen، نويسنده , , Quangong and Ren، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2008
Pages
12
From page
3750
To page
3761
Abstract
Taking three snow seasons from November 1 to March 31 of year 2002 to 2005 in northern Xinjiang, China as an example, this study develops a new daily snow cover product (500 m) through combining MODIS daily snow cover data and AMSR-E daily snow water equivalent (SWE) data. By taking advantage of both high spatial resolution of optical data and cloud transparency of passive microwave data, the new daily snow cover product greatly complements the deficiency of MODIS product when cloud cover is present especially for snow cover product on a daily basis and effectively improves daily snow detection accuracy. In our example, the daily snow agreement of the new product with the in situ measurements at 20 stations is 75.4%, which is much higher than the 33.7% of the MODIS daily product in all weather conditions, even a little higher than the 71% of the MODIS 8-day product (cloud cover of ~ 5%). Our results also indicate that i) AMSR-E daily SWE imagery generally agrees with MOD10A1 data in detecting snow cover, with overall agreement of 93.4% and snow agreement of 96.6% in the study area; ii) AMSR-E daily SWE imagery underestimates the snow covered area (SCA) due to its coarse spatial resolution; iii) The new snow cover product can better and effectively capture daily SCA dynamics during the snow seasons, which plays a significant role in reduction, mitigation, and prevention of snow-caused disasters in pastoral areas.
Keywords
MOD10A1 , AE_DySno , Composite snow cover map , Pastoral area , Snow covered area
Journal title
Remote Sensing of Environment
Serial Year
2008
Journal title
Remote Sensing of Environment
Record number
1575548
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