Observations-Driven Spatial-Attention LSTM for Multi-Depth Soil Moisture Prediction and Dynamic Soil Hydrological Process Connectivity Quantification

<p dir="ltr">This study develops a Long Short-Term Memory model with dynamic spatial attention (LSTM+ATT) to simultaneously predict multi-depth soil moisture and quantify inter-layer influence as a proxy for vertical hydrological connectivity.</p>