Articles | Volume 28, issue 23
https://doi.org/10.5194/hess-28-5295-2024
https://doi.org/10.5194/hess-28-5295-2024
Research article
 | 
06 Dec 2024
Research article |  | 06 Dec 2024

Seasonal variation in land cover estimates reveals sensitivities and opportunities for environmental models

Daniel T. Myers, David Jones, Diana Oviedo-Vargas, John Paul Schmit, Darren L. Ficklin, and Xuesong Zhang

Viewed

Total article views: 840 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
616 180 44 840 77 29 30
  • HTML: 616
  • PDF: 180
  • XML: 44
  • Total: 840
  • Supplement: 77
  • BibTeX: 29
  • EndNote: 30
Views and downloads (calculated since 19 Sep 2023)
Cumulative views and downloads (calculated since 19 Sep 2023)

Viewed (geographical distribution)

Total article views: 840 (including HTML, PDF, and XML) Thereof 791 with geography defined and 49 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 10 Jan 2025
Download
Short summary
We studied how streamflow and water quality models respond to land cover data collected by satellites during the growing season versus the non-growing season. The land cover data showed more trees during the growing season and more built areas during the non-growing season. We next found that the use of non-growing season data resulted in a higher modeled nutrient export to streams. Knowledge of these sensitivities would be particularly important when models inform water resource management.