Articles | Volume 23, issue 12
https://doi.org/10.5194/nhess-23-3723-2023
https://doi.org/10.5194/nhess-23-3723-2023
Research article
 | 
01 Dec 2023
Research article |  | 01 Dec 2023

Machine-learning-based nowcasting of the Vögelsberg deep-seated landslide: why predicting slow deformation is not so easy

Adriaan L. van Natijne, Thom A. Bogaard, Thomas Zieher, Jan Pfeiffer, and Roderik C. Lindenbergh

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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 egusphere-2022-950', Katy Burrows, 20 Oct 2022
    • AC1: 'Reply on RC1 and RC2', Adriaan van Natijne, 15 Mar 2023
  • RC2: 'Comment on egusphere-2022-950', Anonymous Referee #2, 25 Jan 2023
    • AC2: 'Reply on RC1 and RC2', Adriaan van Natijne, 15 Mar 2023
    • AC1: 'Reply on RC1 and RC2', Adriaan van Natijne, 15 Mar 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) (16 Mar 2023) by Sabine Loos
AR by Adriaan van Natijne on behalf of the Authors (27 Mar 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (06 May 2023) by Sabine Loos
RR by Anonymous Referee #2 (23 May 2023)
ED: Publish subject to minor revisions (review by editor) (08 Jun 2023) by Sabine Loos
AR by Adriaan van Natijne on behalf of the Authors (14 Jul 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (26 Jul 2023) by Sabine Loos
ED: Publish as is (09 Aug 2023) by Philip Ward (Executive editor)
AR by Adriaan van Natijne on behalf of the Authors (12 Aug 2023)  Author's response   Manuscript 
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Short summary
Landslides are one of the major weather-related geohazards. To assess their potential impact and design mitigation solutions, a detailed understanding of the slope is required. We tested if the use of machine learning, combined with satellite remote sensing data, would allow us to forecast deformation. Our results on the Vögelsberg landslide, a deep-seated landslide near Innsbruck, Austria, show that the formulation of such a machine learning system is not as straightforward as often hoped for.
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