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A Merged CYGNSS Soil Moisture Product Using a Minimum Variance Estimator

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Year: 2025
Type: article
Source: IEEE Transactions on Geoscience and Remote Sensing
DOI: 10.1109/tgrs.2025.3597532
Authors: Erik Hodges, Clara Chew, Eric E. Small, Dinan Bai, Mohammad Al-Khaldi, Jeffrey D. Ouellette, Joel T. Johnson, Fangni Lei, Mehmet Kurum, Ali Cafer Gurbuz, Volkan Senyurek, M. M. Nabi, Xiaolan Xu, Rashmi Shah, Simon H. Yueh, Akiko Hayashi, Paulo T. Setti, Sajad Tabibi, Emanuele Santi, Simone Pettinato, Christopher S. Ruf, Mahta Moghaddam
Institutions: University of Southern California, University of Colorado Boulder, University of Michigan, The Ohio State University, United States Naval Research Laboratory, University of Connecticut, University of Georgia, North Carolina State University, Mississippi State University, Western Kentucky University, Jet Propulsion Laboratory, University of Luxembourg, National Research Council
Language: English

Topic: Soil Moisture and Remote Sensing
Subfield: Environmental Engineering
Field: Environmental Science
Domain: Physical Sciences
SDG: Zero hunger

Open Access status: closed

Funders: University of Southern California, NASA Headquarters
Awards: G5136836839, G8457078702
OpenAlex ID: W4413212705
FWCI: 0.573
Cites: 39
Cited by: 2
Related to: 10
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