Estimated landslide susceptibility near Ituporanga, Brazil

Susceptibility to landslides estimated by an artificial neural networks ensemble (Lucchese et al. 2025) (dataset: https://doi.org/10.5281/zenodo.7178714) over the terrain elevation and shaded relief from MERIT DEM (Yamazaki et al., 2017). Map produced using QGIS 3.44. Map printed with the support of the University of Pittsburgh.

References:

• Yamazaki, D., Ikeshima, D., Neal, J. C., O'Loughlin, F., Sampson, C. C., Kanae, S., & Bates, P. D. (2017, December). MERIT DEM: A new high-accuracy global digital elevation model and its merit to global hydrodynamic modeling. In AGU fall meeting abstracts (Vol. 2017, pp. H12C-04).
• Lucchese, L. V., de Oliveira, G. G., Pedrollo, O. C., & Brenning, A. (2025). Spatially distributed antecedent rainfall thresholds for landslide occurrence: a multitask machine learning modelling approach. Hydrological Sciences Journal, (just-accepted).