Browsing ISERME - 2023 by Subject "Flood susceptibility mapping"

Sort by: Order: Results:

  • Flood susceptibility mapping using explainable machine learning models 
    Kurugama, KAKM; Kazama, S; Chaminda, SP [Conference-Full-text]
    Flooding is one of the most frequently encountered natural disasters globally. Frequent severe flood occurrences in Rathnapura city, Sri Lanka caused damages to both human lives and infrastructures. Data-driven models have ...