18 citations as recorded by crossref.

1. A regional-scale framework for landslide susceptibility and risk management: application to urban areas with significant cultural heritage in Sicily M. Rosone et al.
2. Automated Dating of Recent Landslides Using Sentinel-2 and Sentinel-1 on Google Earth Engine L. Barbera et al.
3. Hybrid pixel-based and object-based image analysis approach for landslides rapid mapping: the extreme rainfall in Emilia-Romagna (Italy) May 2023 case study F. Filipponi et al.
4. From automated inventory enrichment to interpretable multiclass modeling of extreme rainfall-induced mass wasting C. Xi & W. Xu
5. Multi-disciplinary reconstruction of debris flow events and dynamics in the Northern Apennines, Italy: A multi-scale approach linking ground evidence with climatic triggers M. Rashid et al.
6. Debris flow risk characteristics and potential spatial mitigation strategies under extreme rainfall events T. Chen et al.
7. Overview of the first fatal post-fire debris flow event recorded in Italy G. Esposito & S. Gariano
8. Landslide risk management in Italy: practices, advances, and future directions F. Guzzetti et al.
9. Shallow landslides in Tuscany (Central Italy) triggered by the November 2023 heavy rainfall event E. Masi et al.
10. CGHD: Dual-Temporal Dataset of Composite Geological Hazards via Multi-Source Optical Remote Sensing Images Y. Wang et al.
11. Short to long term space-time prediction of rain-induced landslides under uncertainty A. Mondini et al.
12. Transformer, more than meets the eye: A deep learning approach to integrate rainfall time-series in multi-type landslide probability modelling R. Rani et al.
13. LMHLD: A Large-Scale Multisource High-Resolution Landslide Dataset for Landslide Detection Based on Deep Learning G. Liu et al.
14. Assessment of Landslide Activity and Hazard Recorded in Tree Rings—Examples from the High-Risk Vernazza Catchment (Liguria, Italy) I. Malik et al.
15. Combined change detection analysis of the impacts resulting from heavy rainfall events in mountainous areas E. Matta et al.
16. Hydro-Meteorological Landslide Inventory for Sustainable Urban Management in a Coastal Region of Brazil P. Hader et al.
17. Understanding the spatial patterns of major geo-hydrological disasters in Italy using the CatBoost algorithm S. Segoni et al.
18. Testing NDVI and U-Net for automated mapping of multiple-occurrence regional landslide events using satellite and aerial multispectral data (Casola Valsenio, Emilia-Romagna, Northern Apennines, Italy) M. Berti et al.