Articles | Volume 23, issue 6
https://doi.org/10.5194/nhess-23-2229-2023
https://doi.org/10.5194/nhess-23-2229-2023
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

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Cited articles

Abdrakhmatov, K., Havenith, H. B., Delvaux, D., Jongmans, D., and Trefois, P.: Probabilistic PGA and Arias Intensity Maps of Kyrgyz Republic (Central Asia), J. Seismol., 7, 203–220, 2003. 
Abdrakhmatov, K. Y., Aldazhanov, S. A., Hager, B. H., Hamburger, M. W., Herring, T. A., Kalabaev, K. B., Makarov, P. Molnar, S. V. Panasyuk, M. T. Prilepin, R. E., Reilinger, I. S., Sadybakasov, B. J., Souter, Y. A., Trapeznikov, V. Y., and Tsurkov Zubovich, A. V.: Relatively recent construction of the Tien Shan inferred from GPS measurements of present-day crustal deformation rates, Nature, 384, 450–453​​​​​​​, 1996. 
Akgun, A. A.: comparison of landslide susceptibility maps produced by logistic regression, multi-criteria decision, and likelihood ratio methods: A case study at İzmir, Turkey, Landslides, 9, 93–106, 2012. 
Bazzurro, P. et al.: Strengthening Financial Resilience and Accelerating Risk Reduction in Central Asia – the SFRARR project. The SFRARR probabilistic flood hazard assessment, in preparation, 2023. 
Behling, R. and Roessner, S.: Multi-temporal landslide inventory for a study area in Southern Kyrgyz Republic derived from RapidEye satellite time series data (2009–2013), V.1.0. GFZ Data Services [data set], https://doi.org/10.5880/GFZ.1.4.2020.001, 2020. 
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.
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