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.

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AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (further review by Editor) (11 Nov 2016) by Thom Bogaard
AR by Matteo Giuliani on behalf of the Authors (18 Nov 2016)  Author's response    Manuscript
ED: Publish as is (23 Nov 2016) by Thom Bogaard
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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.