Bibliographic Details
| Title: |
Global soil moisture data derived through machine learning trained with in-situ measurements |
| Authors: |
Sungmin O., Rene Orth |
| Source: |
Scientific Data, Vol 8, Iss 1, Pp 1-14 (2021) |
| Publisher Information: |
Nature Portfolio, 2021. |
| Publication Year: |
2021 |
| Collection: |
LCC:Science |
| Subject Terms: |
Science |
| More Details: |
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 |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2052-4463 |
| Relation: |
https://doaj.org/toc/2052-4463 |
| DOI: |
10.1038/s41597-021-00964-1 |
| Access URL: |
https://doaj.org/article/a2321a8be2714558afbe5e683daafb00 |
| Accession Number: |
edsdoj.2321a8be2714558afbe5e683daafb00 |
| Database: |
Directory of Open Access Journals |
