Ensemble Machine-Learning-Based Framework for Estimating Surface Soil Moisture Using Sentinel-1/2 Data: A Case Study of an Arid Oasis in China
Soil moisture (SM) is a critical parameter in Earth’s water cycle, significantly impacting hydrological, agricultural, and meteorological research fields. The challenge of estimating surface soil moisture from synthetic aperture radar (SAR) data is compounded by the influence of vegetation coverage....
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| Egile Nagusiak: | , , , , , , , , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
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MDPI AG
2024-10-01
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| Saila: | Land |
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| Sarrera elektronikoa: | https://www.mdpi.com/2073-445X/13/10/1635 |
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