Journal cover Journal topic
Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
Hydrol. Earth Syst. Sci., 20, 5049-5062, 2016
https://doi.org/10.5194/hess-20-5049-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
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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Interactive discussionStatus: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version      Supplement - Supplement
 
RC1: 'Referee Report', Anonymous Referee #1, 03 Oct 2016 Printer-friendly Version 
AC1: 'Reply to referee #1', Matteo Giuliani, 10 Nov 2016 Printer-friendly Version 
 
RC2: 'review', Simon Gascoin, 15 Oct 2016 Printer-friendly Version 
AC2: 'Reply to referee #2', Matteo Giuliani, 10 Nov 2016 Printer-friendly Version 
Peer review completion
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  
CC BY 4.0
Publications Copernicus
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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.
The unprecedented availability of user-generated data on the Web is opening new opportunities...
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