By Topic

Assimilation of remote sensing data in a hydrologic model to improve estimates of spatially distributed soil moisture

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
$33 $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

7 Author(s)
W. Crosson ; Global Hydrology & Climate Center, Huntsville, AL, USA ; C. Laymon ; A. Limaye ; W. Khairy
more authors

A data assimilation scheme has been applied using field data to determine the effects of the temporal frequency at which remote observations are assimilated to adjust model soil moisture profiles. It was found that, in terms of near-surface soil moisture, there is generally a gradual decrease in performance as the update frequency decreases. Performance for update periods longer than 8 days is nearly identical to that of a simulation performed without assimilation.

Published in:

Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International  (Volume:2 )

Date of Conference:

24-28 June 2002