%0 Generic
%A Alu, Si
%A Lai, Quan
%A Guo, Enliang
%A Wang, Yongfang
%A Zhang, Jiquan
%D 2025
%T Supplemental Material underlying the publication: Optimizing multi-resolution topographic indicator combinations for debris flow susceptibility assessment based on factorial experiments and UMAP analysis
%U 
%R 10.4121/67fc83eb-5128-490d-a265-6b45943159a1.v1
%K debris flow susceptibility
%K optimal pixel resolution combination
%K factorial experiment
%K UMAP
%K Machine learning
%X <p>This supplemental material supports the study "Optimizing multi-resolution topographic indicator combinations for debris flow susceptibility assessment based on factorial experiments and UMAP analysis".  It leveraging a factorial experimental design and UMAP analysis to systematically evaluated nearly 350,000 prediction results from RF, GBDT, and BPNN models. Then a multi-faceted assessment across seven dimensions revealed the impact of resolution combinations on susceptibility and identified each model&#x27;s optimal combination. The supplemental material 1 and 2 includes seven evaluation indices data of the debris flow susceptibility prediction results for all treatment combinations, and the supplemental material 3 and 4 includes Probability 1 (AUC ranked in the top 1000) and Probability 2（remaining six indices all ranked in the top 15%) data of each treatment combinations.</p>
%I 4TU.ResearchData