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...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universidad Nacional de Trujillo
2024-03-01
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| Series: | Scientia Agropecuaria |
| Subjects: | |
| Online Access: | https://revistas.unitru.edu.pe/index.php/scientiaagrop/article/view/5434 |
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