Articles | Volume 22, issue 8
Nat. Hazards Earth Syst. Sci., 22, 2637–2653, 2022
https://doi.org/10.5194/nhess-22-2637-2022

Special issue: Estimating and predicting natural hazards and vulnerabilities...

Nat. Hazards Earth Syst. Sci., 22, 2637–2653, 2022
https://doi.org/10.5194/nhess-22-2637-2022
Research article
17 Aug 2022
Research article | 17 Aug 2022

Using Sentinel-1 radar amplitude time series to constrain the timings of individual landslides: a step towards understanding the controls on monsoon-triggered landsliding

Katy Burrows et al.

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on nhess-2022-21', Tapas Martha, 17 Feb 2022
  • RC1: 'Comment on nhess-2022-21', Magdalena Stefanova Vassileva, 05 Mar 2022
    • AC2: 'Reply on RC1', Katy Burrows, 27 Mar 2022
    • AC4: 'Complete response to RC1', Katy Burrows, 26 Apr 2022
  • RC2: 'Comment on nhess-2022-21', Anonymous Referee #2, 10 Mar 2022
    • AC1: 'Preliminary response to Reviewer 2', Katy Burrows, 18 Mar 2022
    • AC5: 'Complete response to RC2', Katy Burrows, 26 Apr 2022
  • RC3: 'Comment on nhess-2022-21', Anonymous Referee #3, 15 Mar 2022
    • AC3: 'Preliminary response to RC3', Katy Burrows, 27 Mar 2022
    • AC6: 'Complete response to RC3', Katy Burrows, 26 Apr 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (27 Apr 2022) by Ugur Ozturk
AR by Katy Burrows on behalf of the Authors (01 Jun 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (02 Jun 2022) by Ugur Ozturk
RR by Anonymous Referee #3 (13 Jun 2022)
RR by Anonymous Referee #4 (12 Jul 2022)
ED: Publish as is (12 Jul 2022) by Ugur Ozturk
ED: Publish as is (15 Jul 2022) by Sven Fuchs(Executive Editor)
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Short summary
The locations of triggered landslides following a rainfall event can be identified in optical satellite images. However cloud cover associated with the rainfall means that these images cannot be used to identify landslide timing. Timings of landslides triggered during long rainfall events are often unknown. Here we present methods of using Sentinel-1 satellite radar data, acquired every 12 d globally in all weather conditions, to better constrain the timings of rainfall-triggered landslides.
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