Articles | Volume 20, issue 12
https://doi.org/10.5194/hess-20-5049-2016
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, Andrea Castelletti, Roman Fedorov, and Piero Fraternali

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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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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.