Articles | Volume 22, issue 2
https://doi.org/10.5194/nhess-22-481-2022
https://doi.org/10.5194/nhess-22-481-2022
Research article
 | 
16 Feb 2022
Research article |  | 16 Feb 2022

Automated determination of landslide locations after large trigger events: advantages and disadvantages compared to manual mapping

David G. Milledge, Dino G. Bellugi, Jack Watt, and Alexander L. Densmore

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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-2021-168', Anonymous Referee #1, 03 Aug 2021
    • AC1: 'Reply on RC1', Dave Milledge, 30 Sep 2021
  • RC2: 'Comment on nhess-2021-168', Anonymous Referee #2, 05 Aug 2021
    • AC2: 'Reply on RC2', Dave Milledge, 30 Sep 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (07 Oct 2021) by Filippo Catani
AR by Dave Milledge on behalf of the Authors (19 Oct 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (08 Nov 2021) by Filippo Catani
RR by Anonymous Referee #1 (19 Nov 2021)
RR by Ali P. Yunus (13 Dec 2021)
ED: Publish as is (23 Dec 2021) by Filippo Catani
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Short summary
Earthquakes can trigger thousands of landslides, causing severe and widespread damage. Efforts to understand what controls these landslides rely heavily on costly and time-consuming manual mapping from satellite imagery. We developed a new method that automatically detects landslides triggered by earthquakes using thousands of free satellite images. We found that in the majority of cases, it was as skilful at identifying the locations of landslides as the manual maps that we tested it against.
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