Articles | Volume 21, issue 10
Research article
07 Oct 2021
Research article |  | 07 Oct 2021

Integrating empirical models and satellite radar can improve landslide detection for emergency response

Katy Burrows, David Milledge, Richard J. Walters, and Dino Bellugi


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on nhess-2021-148', Anonymous Referee #1, 09 Jun 2021
    • AC1: 'Reply on RC1', Katy Burrows, 07 Aug 2021
  • RC2: 'Comment on nhess-2021-148', Anonymous Referee #2, 10 Jun 2021
    • AC2: 'Reply on RC2', Katy Burrows, 07 Aug 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) (23 Aug 2021) by David J. Peres
AR by Katy Burrows on behalf of the Authors (25 Aug 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (30 Aug 2021) by David J. Peres
RR by Anonymous Referee #1 (09 Sep 2021)
RR by Anonymous Referee #2 (10 Sep 2021)
ED: Publish as is (22 Sep 2021) by David J. Peres
Short summary
When cloud cover obscures optical satellite imagery, there are two options remaining for generating information on earthquake-triggered landslide locations: (1) models which predict landslide locations based on, e.g., slope and ground shaking data and (2) satellite radar data, which penetrates cloud cover and is sensitive to landslides. Here we show that the two approaches can be combined to give a more consistent and more accurate model of landslide locations after an earthquake.
Final-revised paper