Articles | Volume 23, issue 12
Research article
 | Highlight paper
24 Dec 2023
Research article | Highlight paper |  | 24 Dec 2023

Cost estimation for the monitoring instrumentation of landslide early warning systems

Marta Sapena, Moritz Gamperl, Marlene Kühnl, Carolina Garcia-Londoño, John Singer, and Hannes Taubenböck


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on nhess-2023-41', Anonymous Referee #1, 26 Mar 2023
    • AC1: 'Reply on RC1', Marta Sapena Moll, 13 Jun 2023
  • RC2: 'Comment on nhess-2023-41', Anonymous Referee #2, 05 May 2023
    • AC2: 'Reply on RC2', Marta Sapena Moll, 13 Jun 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Reconsider after major revisions (further review by editor and referees) (02 Jul 2023) by Rodrigo Cienfuegos
AR by Marta Sapena Moll on behalf of the Authors (13 Jul 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (16 Jul 2023) by Rodrigo Cienfuegos
ED: Publish as is (30 Oct 2023) by Bruce D. Malamud (Executive editor)
AR by Marta Sapena Moll on behalf of the Authors (03 Nov 2023)  Manuscript 
Executive editor
Justification of handling editor: The paper describes a methodology for designing an early-warning for landslides based in open source low cost instruments. This will be of interest to wider audiences since it is at the interface of earth sciences, Internet of Things (IOT), wireless sensor networks, and communications.
Short summary
A new approach for the deployment of landslide early warning systems (LEWSs) is proposed. We combine data-driven landslide susceptibility mapping and population maps to identify exposed locations. We estimate the cost of monitoring sensors and demonstrate that LEWSs could be installed with a budget ranging from EUR 5 to EUR 41 per person in Medellín, Colombia. We provide recommendations for stakeholders and outline the challenges and opportunities for successful LEWS implementation.
Final-revised paper