Flood Susceptibility Assessment in the Jhelum Basin Using Machine Learning and GIS Techniques

Abstract

AbstractFlood susceptibility assessment is critical for disaster risk reduction, particularly in flood-prone areas like the Jhelum Basin. This study integrates machine learning techniques, including random forest (RF), artificial neural networks (ANN), ...