Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 13, issue 3
Articles | Volume 13, issue 3
https://doi.org/10.5194/essd-13-1135-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-13-1135-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
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

Viewed

Total article views: 2,734 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,740 844 150 2,734 179 157
  • HTML: 1,740
  • PDF: 844
  • XML: 150
  • Total: 2,734
  • BibTeX: 179
  • EndNote: 157
Views and downloads (calculated since 10 Feb 2020)
Cumulative views and downloads (calculated since 10 Feb 2020)

Viewed (geographical distribution)

Total article views: 2,734 (including HTML, PDF, and XML) Thereof 2,432 with geography defined and 302 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Dec 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.
Read more
Altmetrics
Final-revised paper
Preprint