Soil moisture deficit estimation using satellite multi-angle brightness temperature

Zhuo, L. orcid.org/0000-0002-5719-5342, Han, D. and Dai, Q. (2016) Soil moisture deficit estimation using satellite multi-angle brightness temperature. Journal of Hydrology, 539. pp. 392-405. ISSN 0022-1694

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Copyright, Publisher and Additional Information: © 2016 Elsevier. This is an author produced version of a paper subsequently published in Journal of Hydrology. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: SMOS brightness temperature; Soil moisture; Local linear regression (LLR); Artificial neural networks (ANNs); Soil moisture deficit (SMD); Hydrological modelling
Dates:
  • Accepted: 23 May 2016
  • Published (online): 28 May 2016
  • Published: August 2016
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Civil and Structural Engineering (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 20 Jan 2020 10:03
Last Modified: 20 Jan 2020 11:14
Status: Published
Publisher: Elsevier
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.jhydrol.2016.05.052
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