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

While soil moisture information is essential for a wide range of hydrologic and climate applications, spatially-continuous soil moisture data is only available from satellite observations or model simulations. Here we present a global, long-term dataset of soil moisture derived through machine learn...

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Detalles Bibliográficos
Autores principales: O., Sungmin, Orth, Rene
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Data Descriptor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8275613/
https://www.ncbi.nlm.nih.gov/pubmed/34253737
http://dx.doi.org/10.1038/s41597-021-00964-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8275613/
https://www.ncbi.nlm.nih.gov/pubmed/34253737
http://dx.doi.org/10.1038/s41597-021-00964-1

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