Articles | Volume 20, issue 12
Hydrol. Earth Syst. Sci., 20, 5049–5062, 2016
https://doi.org/10.5194/hess-20-5049-2016
Hydrol. Earth Syst. Sci., 20, 5049–5062, 2016
https://doi.org/10.5194/hess-20-5049-2016
Research article
21 Dec 2016
Research article | 21 Dec 2016

Using crowdsourced web content for informing water systems operations in snow-dominated catchments

Matteo Giuliani et al.

Viewed

Total article views: 2,157 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,191 853 113 2,157 73 69
  • HTML: 1,191
  • PDF: 853
  • XML: 113
  • Total: 2,157
  • BibTeX: 73
  • EndNote: 69
Views and downloads (calculated since 23 Aug 2016)
Cumulative views and downloads (calculated since 23 Aug 2016)

Viewed (geographical distribution)

Total article views: 2,157 (including HTML, PDF, and XML) Thereof 2,088 with geography defined and 69 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 04 Feb 2023
Download
Short summary
The unprecedented availability of user-generated data on the Web is opening new opportunities for enhancing real-time monitoring and modeling of environmental systems based on data that are public, low-cost, and spatiotemporally dense. In this paper, we contribute a novel crowdsourcing procedure for extracting snow-related information from public web images. The value of the obtained virtual snow indexes is assessed for a real-world water management problem.