Quantifying residual soil moisture through empirical orthogonal functions analysis to support legume-based cropping systems
This study investigates spatiotemporal variability of residual soil moisture during the OND (October-November-December) season in Ethiopia and its implications for crop productivity. Employing advanced statistical techniques, we analyze spatial and temporal distribution of soil moisture across Ethio...
| Autores principales: | , , , , , , |
|---|---|
| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Springer
2025
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/159313 |
Ejemplares similares: Quantifying residual soil moisture through empirical orthogonal functions analysis to support legume-based cropping systems
- Spatiotemporal variability of soil moisture over Ethiopia and its teleconnections with remote and local drivers
- Coupled impacts of soil acidification and climate change on future crop suitability in Ethiopia
- Irrigators’ willingness to pay for the adoption of soil moisture monitoring tools in South-Eastern Africa
- Enhanced Composite Drought Index (eCDI) supports drought early warning
- Physical properties and moisture retention characteristics of some Nigerian soils
- Use of adaptable empirical equations for potential evapotranspiration estimation and soil moisture balance approaches for estimating actual evapotranspiration
