Comprehensive landslide susceptibility map of Central Asia

Rosi, Ascanio; Frodella, William; Nocentini, Nicola; Caleca, Francesco; Havenith, Hans Balder; Strom, Alexander; Saidov, Mirzo; Bimurzaev, Gany Amirgalievich; Tofani, Veronica

doi:https://doi.org/10.5194/nhess-23-2229-2023

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.

Special issue:

Regionally consistent risk assessment for earthquakes and...

https://doi.org/10.5194/nhess-23-2229-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 23, issue 6

Research article

|

21 Jun 2023

Research article |

| 21 Jun 2023

Comprehensive landslide susceptibility map of Central Asia

Ascanio Rosi, William Frodella, Nicola Nocentini, Francesco Caleca, Hans Balder Havenith, Alexander Strom, Mirzo Saidov, Gany Amirgalievich Bimurzaev, and Veronica Tofani

Data sets

Copernicus global land service: Land cover 100m: collection 3: epoch 2019: Globe, Version V3.0.1 M. Buchhorn, B. Smets, L. Bertels, B. De Roo, M. Lesiv, N. E. Tsendbazar, M. Herold, and S. Fritz https://doi.org/10.5281/zenodo.3939050

ERA5-Land monthly averaged data from 1981 to present J. Muñoz-Sabater https://doi.org/10.24381/cds.e2161bac

ERA5-Land hourly data from 1981 to present J. Muñoz-Sabater https://doi.org/10.24381/cds.68d2bb30

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.