Expertises

  • Earth and Planetary Sciences

    • Landslide
    • Model
    • Datum
    • Italy
    • Prediction
    • Modeling
    • Time
    • Area

Organisaties

Publicaties

2024
Adopting the margin of stability for space–time landslide prediction – A data-driven approach for generating spatial dynamic thresholdsGeoscience Frontiers, 15(5), Article 101822. Steger, S., Moreno, M., Crespi, A., Luigi Gariano, S., Brunetti, M. T., Melillo, M., Peruccacci, S., Marra, F., de Vugt, L., Zieher, T., Rutzinger, M., Mair, V. & Pittore, M.https://doi.org/10.1016/j.gsf.2024.101822Spatial transferability of the physically based model TRIGRS using parameter ensemblesEarth surface processes and landforms, 49(4), 1330-1347. de Vugt, L., Zieher, T., Schneider‐Muntau, B., Moreno, M., Steger, S. & Rutzinger, M.https://doi.org/10.1002/esp.5770Incorporating climate change projections into operational debris flow hazard mapping: Initial insights from the Toverino River Basin in South Tyrol (Eastern Italian Alps).. Bozzoli, L., Crespi, A., Steger, S. & Moreno, M.https://doi.org/10.5194/egusphere-egu24-19520Application of beta regression for the prediction of landslide areal density in South Tyrol, Italy . Moreno, M., Opitz, T., Steger, S., Westen, C. v. & Lombardo, L.https://doi.org/10.5194/egusphere-egu24-17785Development of a data-driven space-time model to predict precipitation-induced geomorphic impact events at the Alpine Scale. Spiekermann, R., Lehner, S., Steger, S., Moreno, M., Enigl, K., Imgrüth, D., Schlögl, M. & Pistotnik, G.https://doi.org/10.5194/egusphere-egu24-10552Space-time data-driven modeling of precipitation-induced shallow landslides in South Tyrol, ItalyScience of the total environment, 912(169166), Article 169166, 1-17. Moreno, M., Lombardo, L., Crespi, A., Zellner, P. J., Mair, V., Pittore, M., van Westen, C. J. & Steger, S.https://doi.org/10.1016/j.scitotenv.2023.169166
2023

Onderzoeksprofielen

Organisaties

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