Watershed scale soil moisture estimation model using machine learning and remote sensing in a data-scarce context
Soil moisture content can be used to predict drought impact on agricultural yield better than precipitation. Remote sensing is viable source of soil moisture data in instrument-scarce areas. However, space-based soil moisture estimates lack suitability for daily and high-resolution agricultural, hyd...
| Main Authors: | , , , , |
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| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Scientia Agropecuaria
2024
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/131095 |
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