Articles | Volume 17, issue 3
https://doi.org/10.5194/essd-17-1055-2025
https://doi.org/10.5194/essd-17-1055-2025
Data description paper
 | 
13 Mar 2025
Data description paper |  | 13 Mar 2025

RER2023: the landslide inventory dataset of the May 2023 Emilia-Romagna meteorological event

Matteo Berti, Marco Pizziolo, Michele Scaroni, Mauro Generali, Vincenzo Critelli, Marco Mulas, Melissa Tondo, Francesco Lelli, Cecilia Fabbiani, Francesco Ronchetti, Giuseppe Ciccarese, Nicola Dal Seno, Elena Ioriatti, Rodolfo Rani, Alessandro Zuccarini, Tommaso Simonelli, and Alessandro Corsini

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This preprint is open for discussion and under review for Natural Hazards and Earth System Sciences (NHESS).
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Cited articles

AGSS-RER (Area Geologia, Suoli e Sismica, Regione Emilia-Romagna): Carta Geologica dell'Appennino emiliano-romagnolo, scala 1:10.000, https://geoportale.regione.emilia-romagna.it/ (last access: 3 March 2025), 1986. 
Amatya, P., Kirschbaum, D., Stanley, T., and Tanyas, H.: Landslide mapping using object-based image analysis and open source tools, Eng. Geol., 282, 106000, https://doi.org/10.1016/j.enggeo.2021.106000, 2021. 
Ardizzone, F., Bucci, F., Cardinali, M., Fiorucci, F., Pisano, L., Santangelo, M., and Zumpano, V.: Geomorphological landslide inventory map of the Daunia Apennines, southern Italy, Earth Syst. Sci. Data, 15, 753–767, https://doi.org/10.5194/essd-15-753-2023, 2023. 
Auflič, M. J., Bezak, N., Šegina, E., Frantar, P., Gariano, S. L., Medved, A., and Peternel, T.: Climate change increases the number of landslides at the juncture of the Alpine, Pannonian and Mediterranean regions, Sci. Rep., 13, 23085, https://doi.org/10.1038/s41598-023-50314-x, 2023. 
Berti, M. and Simoni, A.: Field evidence of pore pressure diffusion in clayey soils prone to landsliding, J. Geophys. Res., 115, F03031, https://doi.org/10.1029/2009JF001463, 2010. 
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Short summary
In May 2023, Emilia-Romagna, Italy, experienced heavy rainfall that led to severe flooding and initiated thousands of landslides on slopes thought to be stable. Collaborating with the Civil Protection Agency, our team created a detailed map documenting 80,997 affected areas. This comprehensive dataset is crucial for research on climate change and assists in planning and risk management by demonstrating how climate change can alter our understanding of landslide susceptibility.
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