Applicability of remote sensing and machine learning for predicting bulk soil electrical conductivity under different forest types in central Japan
Soil electrical conductivity (EC) is a key indicator in forest ecosystems for assessing soil nutrient availability, moisture retention capacity, ion exchange processes, and overall soil health, which are critical for tree growth, carbon sequestration, and ecosystem stability.With the growing interest in here remote sensing applications, this study