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.bekindtopets.com/amazing-price-NHL-Chicago-Blackhawks-Blast-iPhone-14-Plus-Clear-Case-p35668-mega-super/
A novel framework for debris flow susceptibility assessment considering the uncertainty of sample selection
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