Using machine learning to produce near surface soil moisture estimates from deeper in situ records at U.S. Climate Reference Network (USCRN) locations: Analysis and applications to AMSR-E satellite validation

Title
Using machine learning to produce near surface soil moisture estimates from deeper in situ records at U.S. Climate Reference Network (USCRN) locations: Analysis and applications to AMSR-E satellite validation
Authors
Keywords
Soil moisture, Remote sensing, Modeling, USCRN, AMSR-E, ECONet
Journal
ADVANCES IN WATER RESOURCES
Volume 98, Issue -, Pages 122-131
Publisher
Elsevier BV
Online
2016-10-19
DOI
10.1016/j.advwatres.2016.10.007

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