Articles | Volume 13, issue 3
Earth Syst. Sci. Data, 13, 1135–1150, 2021
https://doi.org/10.5194/essd-13-1135-2021
Earth Syst. Sci. Data, 13, 1135–1150, 2021
https://doi.org/10.5194/essd-13-1135-2021

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 et al.

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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
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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.