Articles | Volume 20, issue 12
Hydrol. Earth Syst. Sci., 20, 5049–5062, 2016
Hydrol. Earth Syst. Sci., 20, 5049–5062, 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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Cited articles

Anghileri, D., Voisin, N., Castelletti, A., Pianosi, F., Nijssen, B., and Lettenmaier, D.: Value of long-term streamflow forecasts to reservoir operations for water supply in snow-dominated river catchments, Water Resour. Res., 52, 4209–4225,, 2016.
Baboud, L., Cadik, M., Eisemann, E., and Seidel, H.-P.: Automatic photo-to-terrain alignment for the annotation of mountain pictures, in: Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on, 41–48, 2011.
Barnett, T. P., Adam, J. C., and Lettenmaier, D. P.: Potential impacts of a warming climate on water availability in snow-dominated regions, Nature, 438, 303–309, 2005.
Bellman, R.: Dynamic programming, Princeton University Press, Princeton, 1957.
Blöschl, G.: Scaling issues in snow hydrology, Hydrol. Process., 13, 2149–2175, 1999.
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.