Articles | Volume 13, issue 3
Earth Syst. Sci. Data, 13, 1135–1150, 2021
Earth Syst. Sci. Data, 13, 1135–1150, 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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Cited articles

Alaska North Slope LiDAR Data (Project Code ALCC2012-05): Arctic Landscape Conservation Cooperative, available at:, last access: 30 October 2018. 
Arp, C. D., Jones, B. M., Liljedahl, A. K., Hinkel, K. M., and Welker, J. A.: Depth, ice thickness, and ice-out timing cause divergent hydrologic responses among Arctic lakes, Water Resour. Res., 51, 9379–9401,, 2015. 
Arp, C. D., Jones, B. M., Urban, F. E., and Gross, G.: Hydrogeomorphic processes of thermokarst lakes with grounded-ice and floating-ice regimes on the Arctic coastal plain, Alaska, Hydrol. Proc., 25, 2422–2438,, 2011. 
Carson, C. E.: Radiocarbon Dating of Lacustrine Strands in Arctic Alaska, Arctic, 21, 12–26, 1968. 
Carson, C. E. and Hussey, K. M.: The Oriented Lakes of Arctic Alaska, J. Geol., 70, 417–439, 1962. 
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.