An enhanced rainfall-induced landslide catalogue in Italy
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 ra...
Saved in:
Main Authors: | Maria Teresa Brunetti, Stefano Luigi Gariano, Massimo Melillo, Mauro Rossi, Silvia Peruccacci |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2025-02-01
|
Series: | Scientific Data |
Online Access: | https://doi.org/10.1038/s41597-025-04551-6 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Model Construction of InSAR-based Rainfall Thresholds for Landslide Hazards in Yanhe Basin, Chinese Loess Plateau
by: WANG Zhenliang, et al.
Published: (2024-12-01) -
Cataloguing : theory and practice /
by: Lihitkar, Shalini
Published: (2012) -
Essential Cataloguing /
by: Bowman,J.H
Published: (2010) -
Catalogue 2.0 : the future of the library catalogue /
Published: (2013) -
Harnessing AI for Enhanced Weather Prediction: A Focus on Rainfall
by: Hira Farman, et al.
Published: (2024-12-01)