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

Data sets

Sonar Depth Measurements at Lakes on the Inner Arctic Coastal Plain of Alaska, July 2017 Claire Simpson and Christopher Arp

Modeled Bathymetry Maps of 17 Lakes on the Arctic Coastal Plain of Alaska, 2017 Claire Simpson

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.