Machine learning based estimation of field-scale daily, high resolution, multi-depth soil moisture for the Western and Midwestern United States

Background High-resolution soil moisture estimates are critical for planning water management and assessing environmental quality. In-situ measurements alone are too costly to support the spatial and temporal resolutions needed for water management. Recent efforts have combined calibration data with...

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Principais autores:	Yushu Xia, Jennifer D. Watts, Megan B. Machmuller, Jonathan Sanderman
Formato:	Artigo
Idioma:	Inglês
Publicado:	PeerJ Inc. 2022-11-01
Series:	PeerJ
Assuntos:	Soil moisture downscaling Field scale Soil climate analysis network (SCAN) U.S. Climate Reference Network (USCRN) North American Land Data Assimilation System (NLDAS) Digital soil mapping
Acceso en liña:	https://peerj.com/articles/14275.pdf
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