Articles | Volume 23, issue 1
https://doi.org/10.5194/nhess-23-179-2023
https://doi.org/10.5194/nhess-23-179-2023
Research article
 | 
17 Jan 2023
Research article |  | 17 Jan 2023

Uncovering the veil of night light changes in times of catastrophe

Vincent Schippers and Wouter Botzen

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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-2022-23', Anonymous Referee #1, 10 Mar 2022
    • AC1: 'Reply on RC1', Vincent Schippers, 13 May 2022
  • RC2: 'Comment on nhess-2022-23', Anonymous Referee #2, 12 Mar 2022
    • AC2: 'Reply on RC2', Vincent Schippers, 13 May 2022
  • RC3: 'Comment on nhess-2022-23', Anonymous Referee #3, 15 Mar 2022
    • AC3: 'Reply on RC3', Vincent Schippers, 13 May 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) (21 May 2022) by Heidi Kreibich
AR by Vincent Schippers on behalf of the Authors (31 Aug 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (01 Sep 2022) by Heidi Kreibich
RR by Anonymous Referee #1 (07 Sep 2022)
RR by Anonymous Referee #3 (22 Sep 2022)
ED: Reconsider after major revisions (further review by editor and referees) (24 Sep 2022) by Heidi Kreibich
AR by Vincent Schippers on behalf of the Authors (04 Nov 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (05 Nov 2022) by Heidi Kreibich
RR by Anonymous Referee #4 (07 Nov 2022)
RR by Anonymous Referee #1 (21 Nov 2022)
ED: Publish as is (06 Dec 2022) by Heidi Kreibich
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Short summary
Researchers studying economic impacts of natural disasters increasingly use night light as a proxy for local economic activity, when socioeconomic data are unavailable. But often it is unclear what changes in light intensity represent in the context of disasters. We study this in detail for Hurricane Katrina and find a strong correlation with building damage and changes in population and employment. We conclude that night light data are useful to study local impacts of natural disasters.
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