Articles | Volume 23, issue 12
https://doi.org/10.5194/nhess-23-3913-2023
https://doi.org/10.5194/nhess-23-3913-2023
Research article
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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

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Latest update: 09 Oct 2024
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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.
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