Landsat-derived bathymetry of lakes on the Arctic Coastal Plain of northern Alaska

Simpson, Claire E.; Arp, Christopher D.; Sheng, Yongwei; Carroll, Mark L.; Jones, Benjamin M.; Smith, Laurence C.

doi:https://doi.org/10.5194/essd-13-1135-2021

Articles | Volume 13, issue 3

https://doi.org/10.5194/essd-13-1135-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-13-1135-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 13, issue 3

Data description paper

|

19 Mar 2021

Data description paper |

| 19 Mar 2021

Landsat-derived bathymetry of lakes on the Arctic Coastal Plain of northern Alaska

Claire E. Simpson, Christopher D. Arp, Yongwei Sheng, Mark L. Carroll, Benjamin M. Jones, and Laurence C. Smith

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Final revised paper (published on 19 Mar 2021)
Preprint (discussion started on 10 Feb 2020)

Interactive discussion

Status: closed

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

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- Supplement

SC1: 'Data Processing', Mary Aronne, 18 Feb 2020
- AC2: 'Response to SC1', Claire Simpson, 09 Sep 2020
RC1: 'Comment on Remote sensing of lake water volumes', Ali P. Yunus, 13 Apr 2020
RC2: 'Referee Comment', Ingmar Nitze, 02 Aug 2020
AC1: 'Response to Comments', Claire Simpson, 09 Sep 2020

Peer-review completion

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

AR by Claire Simpson on behalf of the Authors (07 Oct 2020) Author's response Manuscript

ED: Reconsider after major revisions (08 Nov 2020) by Birgit Heim

AR by Claire Simpson on behalf of the Authors (18 Jan 2021) Author's response Author's tracked changes Manuscript

ED: Publish as is (02 Feb 2021) by Birgit Heim

AR by Claire Simpson on behalf of the Authors (11 Feb 2021) Manuscript

Short summary

Sonar depth point measurements collected at 17 lakes on the Arctic Coastal Plain of Alaska are used to train and validate models to map lake bathymetry. These models predict depth from remotely sensed lake color and are able to explain 58.5–97.6 % of depth variability. To calculate water volumes, we integrate this modeled bathymetry with lake surface area. Knowledge of Alaskan lake bathymetries and volumes is crucial to better understanding water storage, energy balance, and ecological habitat.