Articles | Volume 22, issue 9
Research article
19 Sep 2022
Research article |  | 19 Sep 2022

Estimating global landslide susceptibility and its uncertainty through ensemble modeling

Anne Felsberg, Jean Poesen, Michel Bechtold, Matthias Vanmaercke, and Gabriëlle J. M. De Lannoy

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Cited articles

Bates, D., Mächler, M., Bolker, B., and Walker, S.: Fitting Linear Mixed-Effects Models Using lme4, J. Stat. Softw., 67, 1–48,, 2015. a
Blöschl, G. and Sivapalan, M.: Scale Issues in Hydrological Modelling: A Review, Hydrol. Process., 9, 251–290,, 1995. a
Bosilovich, M. G., Lucchesi, R., and Suarez, M.: MERRA-2: File Specification, GMAO Office Note No. 9 (Version 1.1), 73 pp., (last access: 15 September 2021), 2016. a
Brenning, A.: Spatial prediction models for landslide hazards: review, comparison and evaluation, Nat. Hazards Earth Syst. Sci., 5, 853–862,, 2005. a, b, c
Broeckx, J., Vanmaercke, M., Duchateau, R., and Poesen, J.: A Data-Based Landslide Susceptibility Map of Africa, Earth-Sci. Rev., 185, 102–121,, 2018. a, b, c, d, e, f, g, h, i, j, k
Short summary
In this study we assessed global landslide susceptibility at the coarse 36 km spatial resolution of global satellite soil moisture observations to prepare for a subsequent combination of the two. Specifically, we focus therefore on the susceptibility of hydrologically triggered landslides. We introduce ensemble techniques, common in, for example, meteorology but not yet in the landslide community, to retrieve reliable estimates of the total prediction uncertainty.
Final-revised paper