• Earth and Planetary Sciences

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



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. 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. 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. 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. 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. 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.



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