An enhanced rainfall-induced landslide catalogue in Italy

With the increasing use of data-driven landslide prediction models also based on artificial intelligence, the availability of accurate information on the occurrence of landslides and the rigorous reconstruction of their triggering rainfall conditions are crucial. To this end, an enhanced rainfall-induced landslide catalogue, e-ITALICA, is presented here. e-ITALICA contains spatial and temporal information on 6312 rainfall-induced landslides that occurred in Italy between 1996 and 2021 (already listed in the previous ITALICA catalogue published in 2023), with the addition of their rainfall triggering conditions in terms of rainfall duration D (h) and cumulative event rainfall E (mm). The triggering conditions are calculated using hourly rainfall measurements from 4033 rain gauges and applying a rigorous and reproducible method. In addition, topographic and land cover information is also provided. e-ITALICA can be used to analyse rainfall conditions capable of triggering landslides, to calibrate and validate physically based landslide prediction models, and to define empirical rainfall thresholds from local to national scales in Italy, thus contributing to landslide risk reduction.

Authors

Institutions

Publication Details

Journal
Scientific Data
Published
2025-02-05
DOI
https://doi.org/10.1038/s41597-025-04551-6
Citations
11
Primary Topic
Landslides and related hazards
Type
article
Field-Weighted Citation Impact
26.64

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An enhanced rainfall-induced landslide catalogue in Italy

Mauro Rossi, Silvia Peruccacci, Stefano Luigi Gariano, Massimo Melillo et al.
11 citations
Scientific Data
Landslides and related hazards
26.64
article

An enhanced rainfall-induced landslide catalogue in Italy

Mauro Rossi, Silvia Peruccacci, Stefano Luigi Gariano, Massimo Melillo, Maria Teresa Brunetti
article en
11 citations

Abstract

With the increasing use of data-driven landslide prediction models also based on artificial intelligence, the availability of accurate information on the occurrence of landslides and the rigorous reconstruction of their triggering rainfall conditions are crucial. To this end, an enhanced rainfall-induced landslide catalogue, e-ITALICA, is presented here. e-ITALICA contains spatial and temporal information on 6312 rainfall-induced landslides that occurred in Italy between 1996 and 2021 (already listed in the previous ITALICA catalogue published in 2023), with the addition of their rainfall triggering conditions in terms of rainfall duration D (h) and cumulative event rainfall E (mm). The triggering conditions are calculated using hourly rainfall measurements from 4033 rain gauges and applying a rigorous and reproducible method. In addition, topographic and land cover information is also provided. e-ITALICA can be used to analyse rainfall conditions capable of triggering landslides, to calibrate and validate physically based landslide prediction models, and to define empirical rainfall thresholds from local to national scales in Italy, thus contributing to landslide risk reduction.

Scientific DataVol. 12(1)
Research Institute for Geo-Hydrological Protection (IT)
European Commission, Regione Liguria
Climate action
Openalex Percentile: Top 0%
Landslides and related hazards
26.64
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

An enhanced rainfall-induced landslide catalogue in Italy — Mauro Rossi, Silvia Peruccacci, et al. · Scientific Data (2025) | TGRS Research Map | TGRS