Explainable XGBoost-based models of root-zone soil moisture profiling using coupled Sentinel-2 and IoT data in loam and silt loam soil
Abstract Background Accurate prediction of soil moisture content (SMC) is crucial for sustainable irrigation management and enhancing resilience against climate change. However, in-situ sensing offers accurate point-scale measurements but lacks spatial representativeness, while satellite-based offer...
Kaydedildi:
| Asıl Yazarlar: | , , |
|---|---|
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Springer
2026-04-01
|
| Seri Bilgileri: | Discover Applied Sciences |
| Konular: | |
| Online Erişim: | https://doi.org/10.1007/s42452-026-08673-3 |
| Etiketler: |
Etiket eklenmemiş, İlk siz ekleyin!
|