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.
Research article
| 
21 Jun 2023
Research article |
| 21 Jun 2023
| 21 Jun 2023
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
26 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. https://doi.org/10.3389/feart.2025.1557860
- Characteristics of landslides and assessment of deep-seated landslide susceptibility in Northern Turkey T. Duman & T. Çan https://doi.org/10.1007/s42990-023-00105-3
- National-scale landslide susceptibility and risk mapping of India using a hybrid data-driven approach I. Khan et al. https://doi.org/10.1038/s41598-025-33446-0
- The effect of hybrid models integration sequence: taking Fushun area as an example Y. Yang et al. https://doi.org/10.1080/19475705.2026.2707855
- Insights Gained from the Review of Landslide Susceptibility Assessment Studies in Italy S. Segoni et al. https://doi.org/10.3390/rs16234491
- Assessing landslide damming susceptibility in Central Asia C. Tacconi Stefanelli et al. https://doi.org/10.5194/nhess-24-1697-2024
- Landslide Occurrence and Mitigation Strategies: Exploring Community Perception in Kivu Catchment of Rwanda M. Nema et al. https://doi.org/10.3390/geohazards7010001
- Spatial Assessment of Landslide Susceptibility for Sustainable Land-Use Planning in the Foothill Zones of the Almaty Agglomeration (Southeastern Kazakhstan) Using the Frequency Ratio Method and GIS A. Bekzhanova et al. https://doi.org/10.3390/su18179079
- A landslide susceptibility assessment method considering the similarity of geographic environments based on graph neural network Q. Zhang et al. https://doi.org/10.1016/j.gr.2024.04.013
- Double-threshold validation tool (DTVT): From landslide hazard maps to operational early warning systems N. Nocentini et al. https://doi.org/10.1016/j.ijdrr.2025.105786
- Challenges and opportunities for implementing nature-based solutions for disaster risk reduction in mountainous Central Asia R. Sidle et al. https://doi.org/10.1016/j.nbsj.2025.100241
- Modelling the rainfall threshold for shallow landslides considering the landslide predisposing factors in Portugal C. Villaça et al. https://doi.org/10.1007/s10346-024-02284-y
- Optimized Landslide Prediction Using LSTM and Random Forest Tuned by Black Hole Algorithm M. Garayev et al. https://doi.org/10.1142/S1793431126400051
- Regional-scale landslide risk assessment in Central Asia F. Caleca et al. https://doi.org/10.5194/nhess-24-13-2024
- Landslide susceptibility methodology for railway planning: a comparative analysis of statistical and machine learning methods in a case study of Marche region, Italy R. Rani et al. https://doi.org/10.1016/j.trgeo.2025.101731
- Susceptibility Assessment of Deep-seated Landslides in Sub-Himalayan Galiat Region, Pakistan Q. Mehmood & T. Can https://doi.org/10.15446/esrj.v29n3.116114
- Deriving rainfall thresholds with XAI and GNSS measurements for a large landslide R. Franceschini et al. https://doi.org/10.1007/s10346-025-02657-x
- Integrated Geospatial Assessment of a Human-Induced Winter Landslide in Almaty: The February 2024 Tau-Samal Event E. Orynbassarova et al. https://doi.org/10.3390/su18115691
- Landslide Research in CIS countries: Remote Sensing, Hazards, and Research Trends Z. Kannazarova et al. https://doi.org/10.15446/esrj.v29n3.118866
- Site specific geotechnical investigation and slope stability assessment of the Mugling-Narayanghat highway corridor, central Nepal S. Banjara et al. https://doi.org/10.1007/s44288-026-00678-0
- Landslide susceptibility mapping using GIS-based logistic regression model in Sekondi- Takoradi Metropolitan Area of Ghana M. Ankah et al. https://doi.org/10.1007/s42452-025-07147-2
- A regional-scale framework for assessing sustainable hydropower potential based on open-access data: the case of Central Asia J. De Keyser et al. https://doi.org/10.1016/j.apenergy.2026.127843
- Preliminary approach to predict the reactivation of long-term kinematics landslides through noval synergistic stacked deep learning approach M. Khalili et al. https://doi.org/10.1007/s00477-025-03085-y
- Large-scale flood risk assessment in data-scarce areas: an application to Central Asia P. Ceresa et al. https://doi.org/10.5194/nhess-25-403-2025
- Shifting from traditional landslide occurrence modeling to scenario estimation with a “glass-box” machine learning F. Caleca et al. https://doi.org/10.1016/j.scitotenv.2024.175277
- Hybrid Ensemble Machine Learning for Landslide Susceptibility Mapping and Management Planning in the Kamchik Pass, Uzbekistan M. Juliev et al. https://doi.org/10.3390/su18189288
26 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. https://doi.org/10.3389/feart.2025.1557860
- Characteristics of landslides and assessment of deep-seated landslide susceptibility in Northern Turkey T. Duman & T. Çan https://doi.org/10.1007/s42990-023-00105-3
- National-scale landslide susceptibility and risk mapping of India using a hybrid data-driven approach I. Khan et al. https://doi.org/10.1038/s41598-025-33446-0
- The effect of hybrid models integration sequence: taking Fushun area as an example Y. Yang et al. https://doi.org/10.1080/19475705.2026.2707855
- Insights Gained from the Review of Landslide Susceptibility Assessment Studies in Italy S. Segoni et al. https://doi.org/10.3390/rs16234491
- Assessing landslide damming susceptibility in Central Asia C. Tacconi Stefanelli et al. https://doi.org/10.5194/nhess-24-1697-2024
- Landslide Occurrence and Mitigation Strategies: Exploring Community Perception in Kivu Catchment of Rwanda M. Nema et al. https://doi.org/10.3390/geohazards7010001
- Spatial Assessment of Landslide Susceptibility for Sustainable Land-Use Planning in the Foothill Zones of the Almaty Agglomeration (Southeastern Kazakhstan) Using the Frequency Ratio Method and GIS A. Bekzhanova et al. https://doi.org/10.3390/su18179079
- A landslide susceptibility assessment method considering the similarity of geographic environments based on graph neural network Q. Zhang et al. https://doi.org/10.1016/j.gr.2024.04.013
- Double-threshold validation tool (DTVT): From landslide hazard maps to operational early warning systems N. Nocentini et al. https://doi.org/10.1016/j.ijdrr.2025.105786
- Challenges and opportunities for implementing nature-based solutions for disaster risk reduction in mountainous Central Asia R. Sidle et al. https://doi.org/10.1016/j.nbsj.2025.100241
- Modelling the rainfall threshold for shallow landslides considering the landslide predisposing factors in Portugal C. Villaça et al. https://doi.org/10.1007/s10346-024-02284-y
- Optimized Landslide Prediction Using LSTM and Random Forest Tuned by Black Hole Algorithm M. Garayev et al. https://doi.org/10.1142/S1793431126400051
- Regional-scale landslide risk assessment in Central Asia F. Caleca et al. https://doi.org/10.5194/nhess-24-13-2024
- Landslide susceptibility methodology for railway planning: a comparative analysis of statistical and machine learning methods in a case study of Marche region, Italy R. Rani et al. https://doi.org/10.1016/j.trgeo.2025.101731
- Susceptibility Assessment of Deep-seated Landslides in Sub-Himalayan Galiat Region, Pakistan Q. Mehmood & T. Can https://doi.org/10.15446/esrj.v29n3.116114
- Deriving rainfall thresholds with XAI and GNSS measurements for a large landslide R. Franceschini et al. https://doi.org/10.1007/s10346-025-02657-x
- Integrated Geospatial Assessment of a Human-Induced Winter Landslide in Almaty: The February 2024 Tau-Samal Event E. Orynbassarova et al. https://doi.org/10.3390/su18115691
- Landslide Research in CIS countries: Remote Sensing, Hazards, and Research Trends Z. Kannazarova et al. https://doi.org/10.15446/esrj.v29n3.118866
- Site specific geotechnical investigation and slope stability assessment of the Mugling-Narayanghat highway corridor, central Nepal S. Banjara et al. https://doi.org/10.1007/s44288-026-00678-0
- Landslide susceptibility mapping using GIS-based logistic regression model in Sekondi- Takoradi Metropolitan Area of Ghana M. Ankah et al. https://doi.org/10.1007/s42452-025-07147-2
- A regional-scale framework for assessing sustainable hydropower potential based on open-access data: the case of Central Asia J. De Keyser et al. https://doi.org/10.1016/j.apenergy.2026.127843
- Preliminary approach to predict the reactivation of long-term kinematics landslides through noval synergistic stacked deep learning approach M. Khalili et al. https://doi.org/10.1007/s00477-025-03085-y
- Large-scale flood risk assessment in data-scarce areas: an application to Central Asia P. Ceresa et al. https://doi.org/10.5194/nhess-25-403-2025
- Shifting from traditional landslide occurrence modeling to scenario estimation with a “glass-box” machine learning F. Caleca et al. https://doi.org/10.1016/j.scitotenv.2024.175277
- Hybrid Ensemble Machine Learning for Landslide Susceptibility Mapping and Management Planning in the Kamchik Pass, Uzbekistan M. Juliev et al. https://doi.org/10.3390/su18189288
Saved (final revised paper)
Latest update: 01 Oct 2026
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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