The uncertainty arising from random sampling of non-debris flow samples significantly impacts the accuracy of debris flow susceptibility assessments (DFSA). This study introduces a novel uncertainty elimination method. Kernel Density Estimation (KDE). and compares it with Mean and Maximum Probability Analysis (MPA) methods. https://www.lasreglasdejuego.com/product-category/sauces/