Scheduled System Maintenance on May 29th, 2015:
IEEE Xplore will be upgraded between 11:00 AM and 10:00 PM EDT. During this time there may be intermittent impact on performance. We apologize for any inconvenience.
By Topic

Long Term Analyses on Spatial and Temporal Evaluation of Snow Covers in Northern China by Using RS and Meteorological data

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Bi Xuemei ; Int. Inst. for Earth Syst. Sci., Nanjing Univ., Nanjing ; Zhang Wanchang

Piling and melting of snow cover is a dynamic process which has important effect on the radiation balance, and water circulation over the land surface. Accurate information on snow depth is essential for the study of hydrology and climatology. However, it is almost impossible to obtain any long-term and annual variability characteristics of snow covers by means of conventional field observations. Passive microwave remote sensing has the advantage to penetrate the cloud, and its all-weather capability for snow cover monitoring makes it superior to the optical sensor and near-infrared remote sensing techniques. By means of daily snow cover monitoring data derived from SMMR and SSM/I during the period from 1979 to 2005, snow depth and snow cover days over the northern China were quantitatively analyzed. Spatio-temporal variations of snow covers were evaluated in terms of spatial-temporal distribution and the significant level by the Mann-Kendall rank statistical test. The results suggested that the snow-cover periods became notably shorten and the snow depth turned to decrease obviously with the significant level of alpha<0.01 in the desert of northwest arid region under the significant warming trend. In contrast, the snow depth tended to increase notably with the significant level of alpha<0.001 in the northwest alpine region and Xiaoxing'an Mountain, where the climate tended to be much warm and humid at the same period.

Published in:

Education Technology and Training, 2008. and 2008 International Workshop on Geoscience and Remote Sensing. ETT and GRS 2008. International Workshop on  (Volume:2 )

Date of Conference:

21-22 Dec. 2008