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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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on nhess-2023-33', Polina Lemenkova, 15 Mar 2023
    • CC1: 'Reply on RC1', Alexander Strom, 15 Mar 2023
    • AC1: 'Reply on RC1', William Frodella, 16 Mar 2023
  • RC2: 'Comment on nhess-2023-33', Anonymous Referee #2, 05 Apr 2023
    • AC2: 'Reply on RC2', William Frodella, 17 Apr 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Publish subject to minor revisions (review by editor) (17 Apr 2023) by Valerio Poggi
AR by William Frodella on behalf of the Authors (17 Apr 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (02 May 2023) by Valerio Poggi
ED: Publish as is (03 May 2023) by Philip Ward (Executive editor)
AR by William Frodella on behalf of the Authors (03 May 2023)  Author's response   Manuscript 
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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