Downscaling Groundwater Storage Data in China to a 1-km Resolution Using Machine Learning Methods
High-resolution and continuous hydrological products have tremendous importance for the prediction of water-related trends and enhancing the capability for sustainable water resources management under climate change and human impacts. In this study, we used the random forest (RF) and extreme gradien...
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
MDPI AG
2021-02-01
|
| Schriftenreihe: | Remote Sensing |
| Schlagworte: | |
| Online-Zugang: | https://www.mdpi.com/2072-4292/13/3/523 |
| Tags: |
Keine Tags, Fügen Sie das erste Tag hinzu!
|