Landslide susceptibility mapping on a global scale using the method of logistic regression

Lin, Le; Lin, Qigen; Wang, Ying

doi:https://doi.org/10.5194/nhess-17-1411-2017

Articles | Volume 17, issue 8

https://doi.org/10.5194/nhess-17-1411-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/nhess-17-1411-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 17, issue 8

Research article

|

25 Aug 2017

Research article |

| 25 Aug 2017

Landslide susceptibility mapping on a global scale using the method of logistic regression

Le Lin, Qigen Lin, and Ying Wang

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Final revised paper (published on 25 Aug 2017)
Preprint (discussion started on 03 Nov 2016)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Interactive Comment', Anonymous Referee #1, 29 Dec 2016
- AC1: 'Response to Anonymous Referee #1', Ying Wang, 14 Apr 2017
RC2: 'Interactive comment on “Landslide susceptibility mapping on global scale using method of logistic regression” by Le Lin et al.', Anonymous Referee #2, 12 Feb 2017
AC2: 'Response to Anonymous Referee #2', Ying Wang, 14 Apr 2017

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

ED: Reconsider after major revisions (further review by Editor and Referees) (15 Apr 2017) by Thomas Glade

AR by Ying Wang on behalf of the Authors (27 May 2017) Author's response Manuscript

ED: Referee Nomination & Report Request started (29 May 2017) by Thomas Glade

RR by Anonymous Referee #2 (05 Jun 2017)

RR by Ricardo A.C. Garcia (12 Jun 2017)

ED: Publish subject to minor revisions (further review by Editor) (14 Jun 2017) by Thomas Glade

AR by Ying Wang on behalf of the Authors (24 Jun 2017) Author's response Manuscript

ED: Publish as is (06 Jul 2017) by Thomas Glade

Short summary

To address the issue of what can influence the occurrence of landslides on a global scale and to what impact those factors can have in a relatively objective way, we proposed to produce a global landslide susceptibility map using the method of logistic regression. We find out that topology may not be the first controlling factor of landslides, and finer resolution of DEM may not significantly contribute to the improvement of landslide model when the location precision of landslides is limited.