Articles | Volume 15, issue 7
https://doi.org/10.5194/essd-15-2863-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-15-2863-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
11 Jul 2023
Data description paper |
| 11 Jul 2023
| 11 Jul 2023
The ITAlian rainfall-induced LandslIdes CAtalogue, an extensive and accurate spatio-temporal catalogue of rainfall-induced landslides in Italy
Silvia Peruccacci
CORRESPONDING AUTHOR
Istituto di Ricerca per la Protezione Idrogeologica, Consiglio Nazionale delle Ricerche, Perugia, 06128, Italy
Stefano Luigi Gariano
Istituto di Ricerca per la Protezione Idrogeologica, Consiglio Nazionale delle Ricerche, Perugia, 06128, Italy
Massimo Melillo
Istituto di Ricerca per la Protezione Idrogeologica, Consiglio Nazionale delle Ricerche, Perugia, 06128, Italy
Monica Solimano
Agenzia Regionale per la Protezione dell'Ambiente Ligure, Genoa, 16149, Italy
Fausto Guzzetti
Istituto di Ricerca per la Protezione Idrogeologica, Consiglio Nazionale delle Ricerche, Perugia, 06128, Italy
Presidenza del Consiglio dei Ministri, Dipartimento della Protezione Civile, Rome, 00189, Italy
Maria Teresa Brunetti
Istituto di Ricerca per la Protezione Idrogeologica, Consiglio Nazionale delle Ricerche, Perugia, 06128, Italy
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Cited
13 citations as recorded by crossref.
- Predicting the performance of a functional ecological substrate via a generative model based on an orthogonal experiment G. Lin et al. 10.1007/s10064-024-03798-4
- Adopting the margin of stability for space–time landslide prediction – A data-driven approach for generating spatial dynamic thresholds S. Steger et al. 10.1016/j.gsf.2024.101822
- Estimating Reactivation Times and Velocities of Slow-Moving Landslides via PS-InSAR and Their Relationship with Precipitation in Central Italy E. Ghaderpour et al. 10.3390/rs16163055
- PyLandslide: A Python tool for landslide susceptibility mapping and uncertainty analysis M. Basheer & T. Oommen 10.1016/j.envsoft.2024.106055
- Independent demonstration of a deep-learning system for rainfall-induced landslide forecasting in Italy F. Guzzetti et al. 10.1007/s10346-024-02294-w
- Landslide predictions through combined rainfall threshold models F. Guzzetti et al. 10.1007/s10346-024-02340-7
- First national inventory of high-elevation mass movements in the Italian Alps G. Nigrelli et al. 10.1016/j.cageo.2024.105520
- Derivation of Landslide Rainfall Thresholds by Geostatistical Methods in Southwest China Z. Xu et al. 10.3390/su16104044
- Rainfall-Induced Shallow Landslide Recognition and Transferability Using Object-Based Image Analysis in Brazil H. Dias et al. 10.3390/rs15215137
- The Evaluation of Rainfall Warning Thresholds for Shallow Slope Stability Based on the Local Safety Factor Theory Y. Yang et al. 10.3390/geosciences14100274
- Insights Gained from the Review of Landslide Susceptibility Assessment Studies in Italy S. Segoni et al. 10.3390/rs16234491
- High Resolution Precipitation and Soil Moisture Data Integration for Landslide Susceptibility Mapping Y. Peiro et al. 10.3390/geosciences14120330
- Landslide dynamic hazard prediction based on precipitation variation trend and backpropagation neural network R. Huang et al. 10.1080/10106049.2024.2322058
13 citations as recorded by crossref.
- Predicting the performance of a functional ecological substrate via a generative model based on an orthogonal experiment G. Lin et al. 10.1007/s10064-024-03798-4
- Adopting the margin of stability for space–time landslide prediction – A data-driven approach for generating spatial dynamic thresholds S. Steger et al. 10.1016/j.gsf.2024.101822
- Estimating Reactivation Times and Velocities of Slow-Moving Landslides via PS-InSAR and Their Relationship with Precipitation in Central Italy E. Ghaderpour et al. 10.3390/rs16163055
- PyLandslide: A Python tool for landslide susceptibility mapping and uncertainty analysis M. Basheer & T. Oommen 10.1016/j.envsoft.2024.106055
- Independent demonstration of a deep-learning system for rainfall-induced landslide forecasting in Italy F. Guzzetti et al. 10.1007/s10346-024-02294-w
- Landslide predictions through combined rainfall threshold models F. Guzzetti et al. 10.1007/s10346-024-02340-7
- First national inventory of high-elevation mass movements in the Italian Alps G. Nigrelli et al. 10.1016/j.cageo.2024.105520
- Derivation of Landslide Rainfall Thresholds by Geostatistical Methods in Southwest China Z. Xu et al. 10.3390/su16104044
- Rainfall-Induced Shallow Landslide Recognition and Transferability Using Object-Based Image Analysis in Brazil H. Dias et al. 10.3390/rs15215137
- The Evaluation of Rainfall Warning Thresholds for Shallow Slope Stability Based on the Local Safety Factor Theory Y. Yang et al. 10.3390/geosciences14100274
- Insights Gained from the Review of Landslide Susceptibility Assessment Studies in Italy S. Segoni et al. 10.3390/rs16234491
- High Resolution Precipitation and Soil Moisture Data Integration for Landslide Susceptibility Mapping Y. Peiro et al. 10.3390/geosciences14120330
- Landslide dynamic hazard prediction based on precipitation variation trend and backpropagation neural network R. Huang et al. 10.1080/10106049.2024.2322058
Latest update: 13 Dec 2024
Short summary
ITALICA (ITAlian rainfall-induced LandslIdes CAtalogue) is the largest catalogue of rainfall-induced landslides accurately located in space and time available in Italy. ITALICA currently lists 6312 landslides that occurred between January 1996 and December 2021. The information was collected using strict objective and homogeneous criteria. The high spatial and temporal accuracy makes the catalogue suitable for reliably defining the rainfall conditions capable of triggering future landslides.
ITALICA (ITAlian rainfall-induced LandslIdes CAtalogue) is the largest catalogue of...
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