Open access
Sep 2026
A novel hybrid remote sensing–machine learning framework for multiday soil moisture forecasting
The accurate forecasting of surface soil moisture (SSM) for multiple time steps is vital in the early warning systems of drying and flooding, irrigation scheduling, and hydrological modelling. The current study presents an innovative hybrid structure called ASHA–LSTM–XGB that provides 1, 3, 5, and 7-day forecasting for...
Saeed Samadianfard, E. Khajeh, Neda Beirami et al.
· Applied Water Science · 0 citations