Global soil moisture data derived through machine learning trained with in-situ measurements

Measurement(s) wetness of soil Technology Type(s) machine learning Factor Type(s) soil layer • temporal interval • geographic location Sample Characteristic - Environment soil Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.14790510

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Detalles Bibliográficos
Autores principales:	Sungmin O., Rene Orth
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/a2321a8be2714558afbe5e683daafb00
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spelling	oai:doaj.org-article:a2321a8be2714558afbe5e683daafb002021-12-02T17:01:28ZGlobal soil moisture data derived through machine learning trained with in-situ measurements10.1038/s41597-021-00964-12052-4463https://doaj.org/article/a2321a8be2714558afbe5e683daafb002021-07-01T00:00:00Zhttps://doi.org/10.1038/s41597-021-00964-1https://doaj.org/toc/2052-4463Measurement(s) wetness of soil Technology Type(s) machine learning Factor Type(s) soil layer • temporal interval • geographic location Sample Characteristic - Environment soil Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.14790510Sungmin O.Rene OrthNature PortfolioarticleScienceQENScientific Data, Vol 8, Iss 1, Pp 1-14 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Sungmin O. Rene Orth Global soil moisture data derived through machine learning trained with in-situ measurements
description	Measurement(s) wetness of soil Technology Type(s) machine learning Factor Type(s) soil layer • temporal interval • geographic location Sample Characteristic - Environment soil Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.14790510
format	article
author	Sungmin O. Rene Orth
author_facet	Sungmin O. Rene Orth
author_sort	Sungmin O.
title	Global soil moisture data derived through machine learning trained with in-situ measurements
title_short	Global soil moisture data derived through machine learning trained with in-situ measurements
title_full	Global soil moisture data derived through machine learning trained with in-situ measurements
title_fullStr	Global soil moisture data derived through machine learning trained with in-situ measurements
title_full_unstemmed	Global soil moisture data derived through machine learning trained with in-situ measurements
title_sort	global soil moisture data derived through machine learning trained with in-situ measurements
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/a2321a8be2714558afbe5e683daafb00
work_keys_str_mv	AT sungmino globalsoilmoisturedataderivedthroughmachinelearningtrainedwithinsitumeasurements AT reneorth globalsoilmoisturedataderivedthroughmachinelearningtrainedwithinsitumeasurements
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Global soil moisture data derived through machine learning trained with in-situ measurements

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