Articles | Volume 23, issue 6
https://doi.org/10.5194/nhess-23-2229-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/nhess-23-2229-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Comprehensive landslide susceptibility map of Central Asia
Ascanio Rosi
Department of Geosciences, University of Padua, Via G. Gradenigo 6,
35131 Padua, Italy
UNESCO Chair on the Prevention and Sustainable Management of
Geo-Hydrological Hazards, University of Florence, Largo Fermi 2, 50125 Florence, Italy
William Frodella
CORRESPONDING AUTHOR
UNESCO Chair on the Prevention and Sustainable Management of
Geo-Hydrological Hazards, University of Florence, Largo Fermi 2, 50125 Florence, Italy
Department of Earth Sciences, University of Florence, via G. la
Pira 4, 50121 Florence, Italy
Nicola Nocentini
UNESCO Chair on the Prevention and Sustainable Management of
Geo-Hydrological Hazards, University of Florence, Largo Fermi 2, 50125 Florence, Italy
Department of Earth Sciences, University of Florence, via G. la
Pira 4, 50121 Florence, Italy
Francesco Caleca
UNESCO Chair on the Prevention and Sustainable Management of
Geo-Hydrological Hazards, University of Florence, Largo Fermi 2, 50125 Florence, Italy
Department of Earth Sciences, University of Florence, via G. la
Pira 4, 50121 Florence, Italy
Hans Balder Havenith
Department of Geology, University of Liège, 4000 Liège, Belgium
Alexander Strom
Geodynamics Research Center LLC, 125008 Moscow, Russian Federation
Geodynamics Research Center – branch of JSC “Hydroproject
Institute”, 125993 Moscow, Russian Federation
Mirzo Saidov
Institute of Water Problems, Hydropower, Engineering and Ecology of
Tajikistan (IWPHE), 734063 Dushanbe, Tajikistan
Gany Amirgalievich Bimurzaev
State Service of the Republic of Uzbekistan for Geohazards
Monitoring, 100074 Tashkent, Uzbekistan
Veronica Tofani
UNESCO Chair on the Prevention and Sustainable Management of
Geo-Hydrological Hazards, University of Florence, Largo Fermi 2, 50125 Florence, Italy
Department of Earth Sciences, University of Florence, via G. la
Pira 4, 50121 Florence, Italy
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Cited
9 citations as recorded by crossref.
- Geospatial modeling of landslide susceptibility in Debek, South Wollo, Ethiopia: comparative analysis of frequency ratio and analytical hierarchy process models for geohazards management A. Ali et al. 10.3389/feart.2025.1557860
- Characteristics of landslides and assessment of deep-seated landslide susceptibility in Northern Turkey T. Duman & T. Çan 10.1007/s42990-023-00105-3
- Insights Gained from the Review of Landslide Susceptibility Assessment Studies in Italy S. Segoni et al. 10.3390/rs16234491
- Assessing landslide damming susceptibility in Central Asia C. Tacconi Stefanelli et al. 10.5194/nhess-24-1697-2024
- A landslide susceptibility assessment method considering the similarity of geographic environments based on graph neural network Q. Zhang et al. 10.1016/j.gr.2024.04.013
- Modelling the rainfall threshold for shallow landslides considering the landslide predisposing factors in Portugal C. Villaça et al. 10.1007/s10346-024-02284-y
- Large-scale flood risk assessment in data-scarce areas: an application to Central Asia P. Ceresa et al. 10.5194/nhess-25-403-2025
- Regional-scale landslide risk assessment in Central Asia F. Caleca et al. 10.5194/nhess-24-13-2024
- Shifting from traditional landslide occurrence modeling to scenario estimation with a “glass-box” machine learning F. Caleca et al. 10.1016/j.scitotenv.2024.175277
9 citations as recorded by crossref.
- Geospatial modeling of landslide susceptibility in Debek, South Wollo, Ethiopia: comparative analysis of frequency ratio and analytical hierarchy process models for geohazards management A. Ali et al. 10.3389/feart.2025.1557860
- Characteristics of landslides and assessment of deep-seated landslide susceptibility in Northern Turkey T. Duman & T. Çan 10.1007/s42990-023-00105-3
- Insights Gained from the Review of Landslide Susceptibility Assessment Studies in Italy S. Segoni et al. 10.3390/rs16234491
- Assessing landslide damming susceptibility in Central Asia C. Tacconi Stefanelli et al. 10.5194/nhess-24-1697-2024
- A landslide susceptibility assessment method considering the similarity of geographic environments based on graph neural network Q. Zhang et al. 10.1016/j.gr.2024.04.013
- Modelling the rainfall threshold for shallow landslides considering the landslide predisposing factors in Portugal C. Villaça et al. 10.1007/s10346-024-02284-y
- Large-scale flood risk assessment in data-scarce areas: an application to Central Asia P. Ceresa et al. 10.5194/nhess-25-403-2025
- Regional-scale landslide risk assessment in Central Asia F. Caleca et al. 10.5194/nhess-24-13-2024
- Shifting from traditional landslide occurrence modeling to scenario estimation with a “glass-box” machine learning F. Caleca et al. 10.1016/j.scitotenv.2024.175277
Latest update: 30 Mar 2025
Short summary
This work was carried out within the Strengthening Financial Resilience and Accelerating Risk Reduction in Central Asia (SFRARR) project and is focused on the first landslide susceptibility analysis at a regional scale for Central Asia. The most detailed available landslide inventories were implemented in a random forest model. The final aim was to provide a useful tool for reduction strategies to landslide scientists, practitioners, and administrators.
This work was carried out within the Strengthening Financial Resilience and Accelerating Risk...
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