Articles | Volume 13, issue 3
https://doi.org/10.5194/essd-13-1135-2021
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, Christopher D. Arp, Yongwei Sheng, Mark L. Carroll, Benjamin M. Jones, and Laurence C. Smith

Viewed

Total article views: 2,299 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,454 739 106 2,299 122 114
  • HTML: 1,454
  • PDF: 739
  • XML: 106
  • Total: 2,299
  • BibTeX: 122
  • EndNote: 114
Views and downloads (calculated since 10 Feb 2020)
Cumulative views and downloads (calculated since 10 Feb 2020)

Viewed (geographical distribution)

Total article views: 2,299 (including HTML, PDF, and XML) Thereof 2,014 with geography defined and 285 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 20 May 2024
Download
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.
Altmetrics
Final-revised paper
Preprint