Direct local building inundation depth determination in 3-D point clouds generated from user-generated flood images

Griesbaum, Luisa; Marx, Sabrina; Höfle, Bernhard

doi:https://doi.org/10.5194/nhess-17-1191-2017

Articles | Volume 17, issue 7

https://doi.org/10.5194/nhess-17-1191-2017

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

https://doi.org/10.5194/nhess-17-1191-2017

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

Articles | Volume 17, issue 7

Research article

|

14 Jul 2017

Research article |

| 14 Jul 2017

Direct local building inundation depth determination in 3-D point clouds generated from user-generated flood images

Luisa Griesbaum, Sabrina Marx, and Bernhard Höfle

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Final revised paper (published on 14 Jul 2017)
Preprint (discussion started on 27 Mar 2017)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Discussion of methods and Usability', Anonymous Referee #1, 19 Apr 2017
- AC1: 'Author Comment to RC1', Luisa Griesbaum, 09 May 2017
RC2: 'Review comments', Guy J.-P. Schumann, 30 Apr 2017
- AC2: 'Author Comment to RC2', Luisa Griesbaum, 16 May 2017

Peer-review completion

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

ED: Publish subject to minor revisions (further review by Editor) (24 May 2017) by Bruno Merz

AR by Luisa Griesbaum on behalf of the Authors (02 Jun 2017) Author's response Manuscript

ED: Publish as is (06 Jun 2017) by Bruno Merz

AR by Luisa Griesbaum on behalf of the Authors (07 Jun 2017)

Short summary

This study provides a new method for flood documentation based on user-generated flood images. We demonstrate how flood elevation and building inundation depth can be derived from photographs by means of 3-D reconstruction of the scene. With an accuracy of 0.13 m ± 0.10 m, the derived building inundation depth can be used to facilitate damage assessment.