A data-driven framework for flood hazard mapping using integrated geospatial and multi-model machine learning approaches in a tropical mountainous region: insights from Aceh Jaya, Aceh Province, Indonesia
An integrated geospatial and machine learning approach is applied to improve flood hazard assessment in a mountainous tropical region of Aceh Jaya, Indonesia, with the aim of evaluating model performance and identifying dominant causative factors linked to spatially targeted mitigation strategies.