Open access
Sep 2026
A novel hybrid remote sensing–machine learning framework for multiday soil moisture forecasting
The proposed method performed better than the conventional LSTM algorithm in all forecasting scenarios and showed robust performance even at a 7-day forecasting lead time, showing promise for applications in short-range soil moisture prediction and environmental monitoring studies.
Saeed Samadianfard, E. Khajeh, Neda Beirami et al.
· Applied Water Science · 0 citations