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...
Gorde:
| Egile Nagusiak: | , , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
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MDPI AG
2021-02-01
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| Saila: | Remote Sensing |
| Gaiak: | |
| Sarrera elektronikoa: | https://www.mdpi.com/2072-4292/13/3/523 |
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