A Satellite-Based Framework for Flood Mapping: Enhancing Explainability Through Multispectral Indices and SHAP Analysis
While machine learning (ML) models have shown considerable promise for modelling complex environmental phenomena such as floods, their adoption in flood mapping is often constrained by limited interpretability. This study develops an integrated SHapley Additive exPlanations (SHAP)-enhanced framework for satellite-based...