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Combining hyper-resolution land surface modeling with SMAP brightness temperatures to obtain 30-m soil moisture estimates

Crossref DOI link: https://doi.org/10.1016/j.rse.2020.111740

Published Print: 2020-06

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Vergopolan, Noemi https://orcid.org/0000-0002-7298-0509
Chaney, Nathaniel W.

Beck, Hylke E.

Pan, Ming https://orcid.org/0000-0003-3350-8719
Sheffield, Justin

Chan, Steven

Wood, Eric F.
Funding

Funding for this research was provided by:

National Aeronautics and Space Administration

National Oceanic and Atmospheric Administration
License Information

Text and Data Mining valid from 2020-06-01

Text and Data Mining valid from 2020-06-01

Accepted Manuscript valid from 2021-03-13
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This article is maintained by: Elsevier

Article Title: Combining hyper-resolution land surface modeling with SMAP brightness temperatures to obtain 30-m soil moisture estimates

Journal Title: Remote Sensing of Environment

CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.rse.2020.111740

Content Type: article

Copyright: © 2020 Elsevier Inc. All rights reserved.