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


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
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
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.