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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| Auteurs principaux: | , |
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| Format: | article |
| Langue: | EN |
| Publié: |
Nature Portfolio
2021
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| Accès en ligne: | https://doaj.org/article/a2321a8be2714558afbe5e683daafb00 |
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| Résumé: | 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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