Articles | Volume 21, issue 1
https://doi.org/10.5194/hess-21-43-2017
https://doi.org/10.5194/hess-21-43-2017
Research article
 | 
03 Jan 2017
Research article |  | 03 Jan 2017

Processing and performance of topobathymetric lidar data for geomorphometric and morphological classification in a high-energy tidal environment

Mikkel Skovgaard Andersen, Áron Gergely, Zyad Al-Hamdani, Frank Steinbacher, Laurids Rolighed Larsen, and Verner Brandbyge Ernstsen

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (07 Jul 2016) by Alberto Guadagnini
AR by Verner Brandbyge Ernstsen on behalf of the Authors (17 Aug 2016)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (17 Aug 2016) by Alberto Guadagnini
RR by Anonymous Referee #2 (23 Aug 2016)
RR by Anonymous Referee #1 (25 Aug 2016)
ED: Reconsider after major revisions (10 Sep 2016) by Alberto Guadagnini
AR by Verner Brandbyge Ernstsen on behalf of the Authors (21 Oct 2016)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (08 Nov 2016) by Alberto Guadagnini
RR by Anonymous Referee #1 (21 Nov 2016)
ED: Publish as is (27 Nov 2016) by Alberto Guadagnini
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Short summary
The transition zone between land and water is difficult to map due to shallow water depth and often challenging environmental conditions. Airborne topobathymetric lidar is capable of providing both topographic and bathymetric elevation information, resulting in a seamless coverage of the land–water transition zone. We present the processing and performance of topobathymetric lidar data along with a geomorphometric and morphological classification of landforms in a high-energy tidal environment.